Statistics are everywhere, in every industry, but they're a must for anyone working in data science, business, or business analytics. If you're in one of these specialized fields, chances are you need an advanced understanding of statistics. Complete your mastery in this course, part 3 of our Statistics Fundamentals series. Eddie Davila covers concepts such as small sample sizes, t-distribution, degrees of freedom, chi-square testing, and more. This advanced skills training moves learners into the practical study and application of experimental design, analysis of variance, population comparison, and regression analysis. Use these lessons to go beyond the basics and dive deeper into the specific factors that influence your own calculations and results. Apply for this course

Statistics are a core skill for many careers. Basic stats are critical for making decisions, new discoveries, investments, and even predictions. But sometimes you need to move beyond the basics. Statistics Fundamentals – Part 2 takes business users and data science mavens into practical, example-based learning of the intermediate skills associated with statistics: samples and sampling, confidence intervals, and hypothesis testing.Eddie Davila first provides a bridge from Part 1, reviewing introductory concepts such as data and probability, and then moves into the topics of sampling, random samples, sample sizes, sampling error and trustworthiness, the central unit theorem, t-distribution, confidence intervals (including explaining unexpected outcomes), and hypothesis testing. This course is a must for those working in data science, business, and business analytics—or anyone else who wants to go beyond means and medians and gain a deeper understanding of how statistics work in the real world. Apply for this course

Python is one of the most commonly used dynamic languages for many large organizations, including Google, Yahoo and IBM. Supported on all major operating systems, it comes pre-installed on Macs, as well as most Linux and Unix-based systems. In this course, senior software engineer Ryan Mitchell guides you through all the essentials of learning and using Python. Learn how computers think, as well as how to install Python, pip, and Jupyter Notebook and the basics of writing a program. Explore variables and types, operators, functions, classes, objects, and more. Go over basic data types like ints and floats, Booleans, and strings. Deep dive into basic data structures, control flow, functions, classes, and objects. Find out how to handle errors and exceptions, as well as threads and processes. Plus, discover how to work with different types of files in Python, pass command-line arguments to your Python script, and create modules and packages. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Got a big idea? You need to get it across quickly and efficiently, or modern audiences will move on to the next story clamoring for their attention. Data visualization allows you to make the complex simple, the abstract tangible, and the invisible visible. In this course, Bill Shander shows how to think about your data, your audience, and your goals to create visuals that maximize impact. Plus, learn about human visual perception and chart selection strategies, which make all the difference when visualizing data. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 0,91h Cybersecurity professionals frequently find themselves at the center of moral and ethical debates about what they do and how they go about doing it. Tools like big data, artificial intelligence, and biohacking are widely used now, even as the ethical implications have yet to be sorted out. The distinction between morals, ethics, and laws in the cybersecurity space is a topic that applies broadly across the field, and this course is aimed at helping you round out the knowledge that will make you a more effective and successful cybersecurity professional. Instructor Jerod Brennen details the cybersecurity challenges we face today, as well as the challenges of the future—from the use of AI and data, to topics like quantum computing and moral disengagement, as well as how to foster an ethical cybersecurity culture. Topics include:   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 0,67h Keen on leveraging AI for design, yet apprehensive about unintended consequences? Jasmine Orange understands how you feel. Join her in this course and explore human-centered AI design principles and ethical AI considerations. Learn about core principles and related fundamentals like accountability, explainability, transparency, fairness, data rights, and privacy. Find out how to apply ethical design standards in real-world scenarios. Discover the steps involved in Ben Schnidermann's human-centered UI process. Go through the processes of mapping user journeys that leverage AI-centric interactions and prototyping AI-centered experiences. Along the way, Jasmine demonstrates how ethical guidelines can be incorporated into design workflows. Whether you are a designer looking to refine your approach to AI projects, or a tech enthusiast who wants to learn about thoughtful uses of AI, the insights in this course can help you to embrace and foster responsible design practices. Topics include:   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 1,94h If you’re looking to keep up with the rapid advancements and applications of deep learning techniques, this course provides a comprehensive guide that can help you stay relevant and competitive in the evolving landscape of AI and data-driven technologies. Instructor Gwendolyn Stripling shows you how to transform raw data into valuable insights and build the foundation for cutting-edge AI applications. The course focuses on the concepts, with minimal coding required, so even if you’re not an experienced coder, Gwendolyn shows you how to use simple Python code to work with data. Test your learning with a series of challenges, and cap off the course with building and evaluating a predictive and generative model. Topics include: Identify common applications of deep learning and generative AI in various fields such as computer vision, natural language processing, and healthcare. Evaluate the quality of a dataset and make informed decisions about data preprocessing strategies based on factors such as data distribution, imbalance, and outliers. Understand data preprocessing, cleaning, transformation, exploratory data analysis, feature engineering, and data augmentation in training effective generative AI models. Distinguish between the goals of predictive AI and generative AI, understand the methodologies employed in each paradigm, and identify the unique outputs generated by predictive models versus generative models. Create data visualizations using Python libraries like Matplotlib and Seaborn, depicting data distributions, trends, and relationships. Explore data analysis techniques, such as statistical analysis and visualizations, to structured and unstructured data to understand data distributions, identify outliers, and detect correlations.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 2,83h Looking for a crash course in data management? Look no further—this course is for you. Join database platform architect and Microsoft MVP Jess Pomfret as she provides a comprehensive overview of the complete data management lifecycle, from data acquisition and storage to data processing, governance, security, analysis, and more. Along the way, develop practical skills for implementing robust data management strategies that align with industry-leading best practices. An ideal fit for beginner- to intermediate-level data workers as well as scientists and engineers, this course covers the essentials to help you get started in data management. Topics include:   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 5,24h Data analysis isn’t just for specialists who need to make sense of massive datasets. Decision-makers in every industry can benefit from a basic understanding of the goals and concepts of applied data analysis. In this course, Barton Poulson focuses on the fundamentals of data fluency, or the ability to work with data to extract insights and determine your next steps. Barton shows how exploring data with graphs and describing data with statistics can help you reach your goals and make better decisions. Instead of focusing on particular tools, he concentrates on general procedures that can help you solve specific problems. Barton covers how to prepare and adapt data, explore it visually, and use statistical methods to describe it. He goes in depth on probability and interference and also touches on data ethics and explainable AI. Topics include: Thinking with Data Preparing Data Adapting Data Exploring Data Describing Data Understanding Probability and Inference   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 1,1h Data science can be generally defined as the process of making data useful, and data engineering is a key part of how and why. If you think of data science like a race car, the data engineers are the pit crew. They’re not driving the car, but they make the car much easier to drive. Data engineers make sure the data flow is running smoothly, monitor systems, anticipate problems, and repair the data pipeline whenever problems arise. They extract and gather data from multiple sources and load it into a single, easy-to-query database. In short, data engineers make data scientists’ lives easier. In this course, Harshit Tyagi explains the fundamentals of data engineering. He covers key topics like data wrangling, database schema, and developing ETL pipelines. He also details several data engineering tools like Hive, Hadoop, Spark, and Airflow. By the end of this course, it should be abundantly clear why the data engineer is one of the most valuable people in a data-driven organization. Topics include: Define data engineering and compare it with data science. Describe and contrast the types of tools used for storage, processing, and scheduling. Describe how to organize data in tables and files. Explain when and how distributed computing is advantageous and describe tools for distributing tasks. Describe file formats for accommodating structured data.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

In the world of data analytics, you're consistently presented with the same decision when it comes to how you'll communicate your data and insights. For each project, you need to decide whether to use a dashboard or tell a data story. In this course, business intelligence architect Sara Anstey provides you with the necessary information you need to make this decision with confidence. First, Sara covers the fundamentals of making decisions with data and shares how the role of a data analyst makes this possible for organizations. She then dives into the topics of data science dashboards and data storytelling, highlighting the pros and cons of each and providing the details you need to determine which approach is right for you. Sara closes by recapping key concepts, leaving you prepared to pick between each of these options with ease and intentionality. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 5,66h In this course, data engineer and technical writer Thalia Barrera offers an introductory yet comprehensive overview of data lakes. Learn about key concepts like data lake architecture, operation, and integration with existing data systems. Delve into how data lakes are integral to AI and machine learning workflows. Go over the differences between data lakes, data warehouses, and databases. Explore various data formats and their applicability in a data lake environment. Use included hands-on exercises to practice setting up a basic data lake and performing simple data operations. When you finish this course, you will be equipped to make informed decisions about implementing and managing data lakes in your organization. Topics include: Define and understand the basic architecture of data lakes, and lakehouses, including the distinction between them and how they address different needs in data management and analysis. Analyze complex real-world data using advanced analytics, build machine learning models, and develop generative AI applications by connecting to and querying data lakes or lakehouses. Apply both SQL and Python to extract insights from structured and unstructured data stored in a data lakehouse, demonstrating the flexibility of querying languages and tools. Utilize open-source technologies such as Dremio, MinIO, and Apache Iceberg to build and manage a scalable and efficient data lakehouse environment. Incorporate advanced data management techniques such as indexing, vector embeddings, and the use of vector databases like Chroma to enhance query performance and support sophisticated data operations like retrieval-augmented generation. Implement best practices in data governance, including role-based and attribute-based access controls, to ensure data privacy, security, and compliance within the lakehouse architecture. Demonstrate proficiency in using business intelligence tools like Apache Superset for creating interactive dashboards and visualizations that support data-driven decision-making. Leverage innovative frameworks like LangChain to simplify the integration of large language models and other components, facilitating the development of complex language-based AI applications. Execute end-to-end data pipelines using orchestration tools such as Dagster, ensuring that data flows smoothly between different stages of processing and transformation. Explore the capabilities of generative AI applications by developing a sales copilot that provides contextually accurate responses to user queries, showcasing the potential of combining large language models with a data lakehouse.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 2,57h Want to accelerate your career in data science and analytics? Consider earning the Certified Analytics Professional (CAP) credential. This premier data science certification shows potential employers that you can glean insights from data and use your findings to determine logical next steps. In this course, Jungwoo Ryoo provides test takers with an understanding of how a core set of data science topics are relevant and necessary to obtain a CAP credential in an expedited fashion. Jungwoo covers the seven domains of the exam: business problem framing, analytics problem framing, data, methodology, model building, deployment, and lifecycle management. He also shares case studies that demonstrate how the CAP knowledge domain concepts work in the real world. Topics include:   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 2,13h The hype about big data may have peaked several years ago, but big data is far from gone. Instead it forms the foundation for some of today's most exciting technologies. Artificial intelligence (AI), machine learning, and data science rely on big data, or data that—by virtue of its velocity, volume, or variety—can't be easily stored or analyzed with traditional methods. In this nontechnical course, Barton Poulson digs into the topic of big data, explaining how it works and shapes our modern data universe. Barton explains big data's relationship to AI, data science, social media, and the Internet of Things (IoT). He goes over some of the ethical issues behind the use of big data. Plus, he covers techniques involved in analyzing big data, including data mining and predictive analytics. Topics include: Identify the components that make up big data. Examine how big data has grown over the last few years. Explain the importance of using big data in business organizations. Distinguish between knowledge requirements for using big data and for understanding data science. Justify the need for training on big data within an organization. Analyze the factors that go into utilizing big data on a project. Differentiate outcomes that are derived from big data from outcomes that are derived from observing behaviors.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 1,61h New technologies are rapidly changing the way organizations function and the capabilities of products and services that can be provided. This rapid pace of change creates not just incredible new opportunities, but also unprecedented challenges for organizations, their staff, their customers, and society as a whole. A wide range of ethical considerations must now be anticipated and addressed. These ethical issues as they relate to technology form a developing domain of leadership responsibility known as technoethics. In this course, award-winning technology leader Jonathan Reichental introduces you to the essential 21st century competency of technoethics. Learn about organizational ethics, then begin building your understanding of technoethics. Explore the key focus areas of technoethics, including digitalization, responsible AI, privacy ethics, and more. Plus, go over practical tools and techniques that you will use as you explore technoethics. Topics include: Analyze the ethical practices of organizations like Best Buy in relation to sustainability and community engagement. Explain the significance of ethical conduct in building organizational reputation and compliance with laws. Identify different ethical frameworks such as utilitarianism, rights, common good, and virtue to resolve moral dilemmas. Evaluate how logical fallacies can affect ethical decision-making processes and outcomes. Discuss the implications of technology ethics in modern societies, including privacy, AI bias, and digitalization. Outline the complexities of ethical dilemmas in today's technological landscape using real-world scenarios. Design strategies for implementing a code of ethics within an organization focusing on technological issues. Interpret the role of ethical guidelines in social media to prevent issues related to privacy and misinformation. Develop an understanding of responsible AI practices to mitigate ethical risks and promote positive outcomes. Describe the impact and challenges of data ethics in the digital transformation era.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Course duration: 2,95h Get up to speed with Microsoft Excel, the world's most popular spreadsheet program. Follow along with Excel expert Dennis Taylor as he demonstrates how to efficiently manage and analyze data with this powerful program. Learn how to enter and organize data, perform calculations with simple functions, and format the appearance of rows, columns, cells, and data. Plus, learn about accessibility features, how to work with multiple worksheets, build charts and PivotTables, sort and filter data, print in Excel, use Microsoft Copilot with Excel, and more. Topics include: Describe the process for adding a command to the Quick Access toolbar. Cite the shortcuts for Undo and Redo. Name the keys commonly used to move, copy, and insert data. Explain how to create a chart. Summarize the process for freezing and unfreezing panes. Describe methods for sorting data. Explain how to create Pivot Tables.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

{course_field_smals_cours_quality} Course duration: 2,5h Explore the integral relationship between big data and artificial intelligence in this comprehensive course. In this course, Barton Poulson—a professor, consultant, entrepreneur, and data expert—delves into the three Vs of big data: volume, velocity, and variety. Find out how they drive AI advancements. Learn how to handle enormous datasets, use machine learning algorithms, and employ predictive analytics to discover valuable insights. Discover techniques for anomaly detection, text analysis, and sentiment analysis. Understand the ethical considerations, legal implications, and environmental impacts associated with big data usage. Engage with real-world applications and see how big data translates into actionable small data for end-users. By the end of this course, you will be equipped with the skills to transform raw data into powerful, insightful, and practical solutions for your professional needs. Topics include: Identify the components that make up big data. Examine how big data has grown over the last few years. Explain the importance of using big data in business organizations. Distinguish between knowledge requirements for using big data and for understanding data science. Justify the need for training on big data within an organization. Analyze the factors that go into utilizing big data on a project. Differentiate outcomes that are derived from big data from outcomes that are derived from observing behaviors.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

{course_field_smals_cours_quality} Course duration: 1,45h If you’re looking to start exploring the value of visual analysis, this course was designed for you. Join instructor Franz Buscha as he introduces you to the basics of data visualization analysis including data types, graph elements, and the core concepts of univariate, bivariate, and multivariate analysis. Explore commonly used visualization tools for distributional analysis such as histograms, density plots, strip plots, box plots, bar graphs, dot plots, pie charts, and radar plots. Along the way, Franz shows you how to visualize multiple distributions at the same time, as well as how to visualize both simple and multidimensional relationships using scatter plots, line plots, matrix scatter and trellis plots, bubble plots, contour plots, and more. This course was created by Madecraft. We are pleased to host this training in our library. Topics include: Apply appropriate statistical software to create a wide range of basic to advanced data visualizations. Choose the most effective type of graph or plot for specific data visualization needs without the need for experimentation. Utilize Excel for constructing fundamental data visualizations, including but not limited to scatterplots, line plots, and bar charts. Employ advanced statistical software such as R, STATA, or SPSS to access more sophisticated data visualization tools. Code in Python to build custom and powerful data visualizations from the ground up. Analyze and interpret relationships between three variables using contour plots, ensuring a large and continuous data set is available for accurate visualization. Enhance visual appeal and clarity of data visualizations by applying principles of color theory and understanding human visual perception through Gestalt Theory. Summarize bivariate data relationships by integrating scatter plots with lines of best fit, choosing between parametric and non-parametric methods based on the data's characteristics. Visualize the distribution of multiple datasets on one graph using density plots and evaluate their effectiveness based on the clutter and clarity of the visualization. Develop a strong foundation in statistics to support and enhance data visualization efforts, including the ability to interpret statistical summaries presented within various plot types.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Machine learning is the most exciting branch of artificial intelligence. It allows systems to learn from data by identifying patterns and making decisions with little to no human intervention. In this course, you'll navigate the machine learning lifecycle by getting hands-on practice training your first machine learning model. Join instructor Kesha Williams as she explores widely adopted machine learning methods: supervised, unsupervised, and reinforcement. There's a focus on sourcing and preparing data and selecting the best learning algorithm for your project. After training a model, learn to evaluate model performance using standard metrics. Finally, Kesha shows you how to streamline the process by building a machine learning pipeline. If you’re looking to understand the machine learning lifecycle and the steps required to build systems, check out this course. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

{course_field_smals_cours_quality} Course duration: 1,26h It may seem counterintuitive to think that costs actually add value to a project. However, accurately projecting your costs and the resources they’re actually costing can determine the overall success of your project or investment. In this course, CPA Ajay Pangarkar shows you how to develop a cost estimate for all types of organizations. When major decisions need to be made, stakeholders want as much information as possible, and Ajay covers topics like looking at the various data types associated with cost estimating, how to report cost estimates, and tips for keeping the cost estimate accurate by validating data. After completing this course, you’ll be able use cost estimates to deliver more value in your projects, and do so within the cost limitations imposed by company leadership. Topics include: Describe the limitations in reaching 100 percent accuracy in cost estimates. Differentiate between nominal, ratio, and ordinal data. Relate the reason for credible cost estimates to a company’s business needs. Determine situations in which a business would use the top-down estimating approach. Examine the validity of data and data collection given a scenario. Explore the differences between cost, value, and performance.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Media and marketing efforts often rely on data visualizations to prove a point quickly. But poorly designed visualizations can be misleading and can even become a source of global scrutiny. To succeed in design and marketing today, you need to know how to interpret and properly visualize data. This course, developed and led by Killer Infographics CEO, Amy Balliett, walks you through the ins and outs of creating accurate and compelling data visualizations. She shows you how to identify and shape your data with key questions, as well as how to avoid common data visualization mistakes. Amy covers creating bar graphs, pie charts, line graphs, and area graphs in Adobe Illustrator and goes over how to better contextualize your data visualizations with labels and color. Using these tips, you'll learn how to stand out from the crowd and create charts and graphs that combine precision with visual appeal. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

{course_field_smals_cours_quality} Course duration: 1,54h We are wired for story. We crave it. Storytelling has played an integral role in our ability to make progress as a species. It should come as no surprise, then, that presenting data and information in story form maximizes the effectiveness of our communication. We can create deeper emotional responses in our audience when we present data in story form. Join data visualization expert Bill Shander as he guides you through the process of turning "facts and figures" into "story" to engage and fulfill our human expectation for information. This course is intended for anyone who works with data and has to communicate it to others, whether a researcher, a data analyst, a consultant, a marketer, or a journalist. Bill shows you how to think about, and craft, stories from data by examining many compelling stories in detail. Topics include: Describe the historic progress of storytelling as a means of communication. Define acronyms relating to storytelling. Identify the components of a flow diagram. Determine the appropriate times to use labels. Describe the process by which people read visualizations. Review the concepts of complexity and simplicity in using visualizations.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Statistics is not just the realm of data scientists. All types of jobs use statistics. Statistics are important for making decisions, new discoveries, investments, and predictions. Whether the subject is political races, sports rankings, shopping trends, or healthcare advancements, statistics is an instrument for understanding your favorite topic at a deeper level. In this course, Professor Eddie Davila offers beginner-level lessons, so you too can master the terms, formulas, and techniques needed to perform the most common types of statistics. Eddie covers several examples of data and charts. He explains how to find the middle of your data set, as well as the mean and median. He introduces range, then goes into standard deviation and what to do with outliers. These techniques help you understand your data, prove theories, and save time, money, and other valuable resources—all by understanding the numbers. Topics include: Introduce the concepts of mean, median, and mode. Explain how to calculate range. Explore the z-score concept. Define standard deviation. Introduce the empirical rule. Explore how standard deviation and normal distributions are related. Recognize the possible role of outliers. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Statistics is not just the realm of data scientists. All types of jobs use statistics. Statistics are important for making decisions, new discoveries, investments, and predictions. Whether the subject is political races, sports rankings, shopping trends, or healthcare advancements, statistics is an instrument for understanding your favorite topic at a deeper level. With these beginner-level lessons, you too can master the terms, formulas, and techniques needed to perform the most common types of statistics.Professor Eddie Davila covers statistics basics, like calculating averages, medians, modes, and standard deviations. He shows how to use probability and distribution curves to inform decisions, and how to detect false positives and misleading data. Each concept is covered in simple language, with detailed examples that show how statistics are used in real-world scenarios from the worlds of business, sports, education, entertainment, and more. These techniques will help you understand your data, prove theories, and save time, money, and other valuable resources—all by understanding the numbers. Apply for this course

Data visualization is ultimately the make-or-break moment for any data science operation or business analytics project. Develop a solid foundation for how to think about the visual interpretation and communication of data and data insights. Apply for this course

Course duration: 6,15h In this course, master Databricks to become an ace data engineer. Learn how to expertly debug, process, and analyze huge amounts of data and build scalable solutions as instructor Deepak Goyal guides you through a deep dive on how the Databricks platform works. Explore PySpark transformation and Spark SQL in Databricks, along with how to read and write a DataFrame in Databricks. Plus, learn about Delta Lake, join optimizations, notebook scheduling, cluster management, workflows, and more. Topics include: Learn how Databricks works end to end. Understand the Delta Lake in Databricks. Perform transformations in PySpark. Use Spark SQL in Databricks. Write DataFrames in PySpark. Understand cluster management in Databricks. Explore the Unity catalog in Databricks.   This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Que vous travailliez déjà dans l’informatique ou que vous soyez attiré par ce domaine prometteur, ce cursus d’apprentissage vous aidera à faire carrière en tant que data scientist. Découvrez les aspects fondamentaux de la data science, allant des statistiques et de l’ingénierie des systèmes à l’exploration de données en passant par le machine learning. Acquérez une solide compréhension de la pensée et des méthodes statistiques, indispensables dans tout domaine proche de la data science. Découvrez les nombreux emplois spécialisés dans le domaine de la data science. Apprenez à générer, à explorer et à communiquer des données à travers des graphiques et des statistiques. Apply for this course

Project managers have diverse skill sets that allow them to approach projects with strategy and efficiency. After completing this learning path, you'll have the skills and knowledge to manage various types of projects from beginning to end using proven project management techniques. Learn to manage projects on time, in budget, and in scope. Develop essential project management skills. Follow best practices for communication with stakeholders. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

There's more to project management than schedules, budgets, and risk. This learning path expands your understanding with skills like self-reflection, getting comfortable with uncertainty, using data and business analysis skills to drive decisions, and staying calm and focused. List key leadership skills that set project managers apart. Select the appropriate metrics and KPIs to measure outcomes. Analyze links between mindfulness and outstanding PM skills. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Getting the requirements right in software development is half the battle. In this course, instructor Neelam Dwivedi delves into the techniques and tools needed to win that battle. Neelam reviews the different types of requirements and how to divide your requirement development process into phases. She covers how to elicit, specify, analyze, and validate product requirements, sharing challenges along the way that help you grasp how these phases work in real-world projects. Plus, she shares techniques for estimating effort for requirements, as well as how to minimize or mitigate project risk by working iteratively on high-risk requirements first. Learning objectives What are requirements? Requirement development phases Elicitation techniques Functional vs. nonfunctional requirements Defining user stories and use cases Mapping data input and output requirements Validating requirements Apply for this course

To define great requirements, it's not enough to simply ask customers and stakeholders what they want. By leveraging requirements elicitation and analysis techniques, business analysts can come up with more innovative solutions. In this course, explore these techniques, and learn why they're important, and how to blend them together and tailor them to your project. Angela Wick provides an overview of the process, and discusses how elicitation and analysis work together. She also covers different ways of gathering requirements—such as brainstorming, observation, and workshops—before moving on to analysis techniques such as context diagrams, user stories, and decision tables. At the conclusion of the course, she explains how to select the right approach for a particular product or project type. Apply for this course

Almost everything you do in the workplace is a project, from the smallest task to the largest endeavor. All of this work can benefit from some basic project management skills. Once mastered, you will be able to transfer this valuable skillset to any project, of any size, in any industry. In this course, management trainer Chris Croft outlines the twelve steps to managing projects without creating a lot of extra overhead, and shows how to use traditional project management tools—such as Gantt charts and network diagrams—to help you succeed. Learn how to plan a project, manage resources, monitor progress, and deliver your project on time and on budget. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Apply for this course

Agile project teams create short user stories as a way to plan out the work for upcoming sprints. In this course, agile expert Doug Rose shows how to write these user stories and prioritize them in the product backlog. He also shows how to avoid the most common pitfalls with agile project planning. Apply for this course

View Bonnie's LinkedIn Newsletter Learn how to use Microsoft Project to manage agile and hybrid projects. Bonnie Biafore covers setting up agile projects for success, as well as creating custom fields to track elements unique to the agile project method, such as features and sprints. She also shows how to manage traditionally scheduled tasks and agile work side by side, track agile project progress, generate burndown reports, and determine your team's velocity. Plus, learn about the agile tools that are built into the Project Online desktop client. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Deliver projects with the highest level of performance and quality as an agile project manager. This path will help you build a solid foundation in leading and motivating agile project teams, from developing user stories and agile charts to driving productive meetings. Apply for this course

The Open Group Architecture Framework, or TOGAF, is a framework and methodology for developing enterprise-level software. TOGAF provides an approach for designing, planning, implementing, and governing enterprise IT architecture. This high-level, systematic approach is designed to reduce error, maintain timelines, keep the project on budget and align IT with business units. If you’re looking to get certified in TOGAF, join Shane Chagpar in this course, as he provides an overview of the TOGAF Foundation exam, taking you step-by-step through the learning objectives for the Level 1 exam. Apply for this course

Si votre direction cherche à bénéficier des projets agiles en matière de délai, de qualité et de budget, cette formation est faite pour vous. Avec Kelley O'Connell, vous saisirez la différence entre la méthodologie de la cascade et l'approche agile. Vous aborderez les prérequis puis vous mettrez en place un projet pilote, dans lequel vous identifierez aussi bien les supporters que les détracteurs. Outre les notions de base à acquérir, vous devrez également définir une vision et constituer votre équipe et, enfin, grâce aux rétrospectives, vous identifierez ce qui favorise la poursuite de votre déploiement agile. Apply for this course

Grâce à la puissance et à la simplicité de Power BI, comprenez rapidement vos données et faites-les parler. Spécialiste en apprentissage automatisé, Nicolas Georgeault vous accompagne dans ce cours sur l'analyse de données avec le langage DAX. À partir de sources de données brutes, vous construirez les différents éléments qui permettent la réalisation d'un rapport Power BI avancé. Vous passerez en revue quelques concepts tels que la conception des modèles de données. Vous verrez aussi comment transformer des données selon leur format afin de constituer les mesures nécessaires à la création d'un tableau de bord. Une fois normalisées, filtrées et augmentées, vos données seront plus faciles à comprendre par les utilisateurs de vos rapports Power BI. Ils seront en mesure de prendre des décisions plus rapidement à la lumière des transformations que vous aurez effectuées. Apply for this course

Power BI Desktop—the powerful data analysis and visualization software from Microsoft—can help you get more insights from your data, whether that data is stored on your computer or in the cloud. In this course, discover how to leverage this easy-to-use tool to more efficiently model and visualize data. Learn how to connect various data sources, including Excel, databases, and web data sources like Wikipedia. Explore how to search and transform your data using the built-in Query Editor. Plus, instructor Gini von Courter shows how to build and arrange visualizations, create interactive reports, share your work, manage your published files in the Power BI service, and more. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Increased competition, globalization, and shifting technologies are just some of the contributing factors that require today's organizations to up their game to ensure the money they invest in product development is spent on the highest-valued efforts. Without a clear approach to define how programs and projects are selected, funded, and managed, organizations may end up delivering solutions that have a high probability of failure. Such failures include missing customer expectations, solving the wrong problems, or misaligning solutions with the direction the enterprise is moving. In this course, Laura Paton provides an introduction to business benefits realization, a practice designed to help organizations select the best change initiatives and ensure the proposed changes deliver and sustain business value. Laura breaks down the components of business benefits realization—introducing a five-part life cycle—and explains the steps for producing key business benefits deliverables. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Hackers target PHP web applications more often than other sites because most PHP code is written by developers with little security experience. Protecting web applications from these attacks has become an essential skill for all PHP developers. PHP: Creating Secure Websites shows you how to meet the most important security challenges when developing websites with PHP. Instructor Kevin Skoglund covers the techniques and PHP code needed to develop sites that are more secure, and to avoid common mistakes. Learn how to configure PHP properly and filter input and escape output. Then check out step-by-step defenses against the most common forms of attack, including cross-site scripting and SQL injection. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Errors caused by missing dependencies, undefined variables, or poorly formatted data can cause your web application to stop working. In this course, learn how to track down and eliminate these types of errors in your Angular applications through the process of testing and debugging. Instructor Derek Peruo breaks down common error messages and goes over a variety of testing and debugging options. He also covers code linting, shares some tips and tricks for avoiding pitfalls during development, and goes into writing custom error handlers to make it easier to work with errors as your application grows. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in English only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Want to get more out of the Java language and platform? In this platform- and framework-neutral course, instructor Bethan Palmer digs into some of the language’s more advanced features, helping you expand your programming skills as she equips you with techniques you can use when building applications anywhere Java is used: in web, mobile, and desktop applications. Bethan covers a variety of topics, including generics, working with the Collections Framework, and functional programming. Plus, learn about I/O in Java, working with files and directories, and structuring applications using the modular system available in Java. Learning objectives : Installing the NetBeans IDE Using generic methods in Java Using wildcards in generic programming Implementing a queue with a LinkedList Functional programming in Java Multi-threading Working with I/O in Java Managing files and directories Apply for this course

Since the inception of data analytics, the way in which analysts view and interpret data has evolved tremendously. New technologies, tools, and approaches have advanced what's possible with data analytics, and network analysis is no exception. In this course, longtime data analyst and data visualization expert Heather Johnson shares the fundamentals of using graph analytics, or network analysis, when analyzing data. Heather begins by reviewing the components of a network analysis and detailing the advantages of using a graph analytics approach. She then walks through key applications of using graph analytics when reviewing data. To wrap up the course, Heather discusses career opportunities within the realm of graph analytics. Upon completion, you’ll be equipped with the knowledge of what graph analytics is and how it can be leveraged within your analytics career. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

In the information age, companies need skilled professionals who can glean useful intelligence from troves of data. These data science roles can be challenging, rewarding, and lucrative. If you're interested in pursuing a career in this growing field, then the Certified Analytics Professional (CAP) certification may be right for you. In this course, Jungwoo Ryoo provides an expedited overview of each of the first four domains in the CAP exam, helping you get up to speed with some of the core data science concepts covered on the test. After going over the history of CAP and related certifications, he dives into domains 1–4: Business Problem Framing, Analytics Problem Framing, Data, and Methodology. Topics include: Business and analytics problem framing Collecting requirements Reformulating problem statements Metrics of success Working effectively with data Acquiring, cleaning, and sharing data Documenting and reporting findings Methodology Descriptive, predictive, and prescriptive analysis Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Want to accelerate your career in data science and analytics? Consider earning the Certified Analytics Professional (CAP) credential. This premier data science certification shows potential employers that you can glean insights from data and use your findings to determine logical next steps. In the Certified Analytics Professional (CAP) Cert Prep series, Jungwoo Ryoo provides test takers with an understanding of how a core set of data science topics are relevant and necessary to obtain a CAP credential in an expedited fashion. In this installment of the series, he provides a study guide for exam domains 5–7. Plus, he shares case studies that demonstrate how the CAP knowledge domain concepts work in the real world. Topics include: Building, running, and evaluating models Calibrating models and data Validating your model performance Documenting evaluation results Developing a data model deployment approach and plan Project management approaches Tracking model quality with specific criteria Evaluating the business benefit of a model over time Managing data model life cycles Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

It’s one thing to work with data. It’s another to provide quality data sets and accurate visualizations for decisions to be made. If you are considering a course emphasis or a career in data analytics, this course can help you get off to a good start. Robin Hunt, CEO and co-founder of ThinkData Solutions, shares practical skills to help you get the most from your data and jumpstart your career in data. Robin discusses business rules, filtering out the noise in the data we all deal with, and how to deliver what decision-makers want. She covers how to create data sets with queries, joins, and appends, then goes into building aggregate data with total queries. Robin goes over pivots, how to use pivots to build basic dashboards and visualizations, and how to use Power Query for data transformations. She concludes with best practices for meetings and taking your work to the next level for your organization. Topics include: Explore concepts relating to data analytics. Explain the use of wildcard characters in building queries. Review types of data visualizations. Describe how slicers are used. Define terminology used in creating visualizations. Differentiate between duplicate and reference data sets. Identify licensing and permissions considerations. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Big data is transforming the world of business. Yet many people don't understand what big data and business intelligence are, or how to apply the techniques to their day-to-day jobs. This course addresses that knowledge gap by showing how to use large volumes of economic data to gain key business insights and analyze market conditions. Professor Michael McDonald demonstrates how to harness the wealth of information available on the Internet to forecast statistics such as industry growth, GDP, and unemployment rates, as well as factors that directly affect your business, like property prices and future interest rate hikes. All you need is Microsoft Excel. Michael uses the built-in formulas, functions, and calculations to perform regression analysis, calculate confidence intervals, and stress test your results. He also covers time series exponential smoothing, fixed effects regression, and difference estimators. You'll walk away from the course able to immediately begin creating forecasts for your own business needs. Topics include: Identify a good source of free data. Name the term for the estimate of the impact of an X variable on a Y variable. Tell which statistic offers a bounds on the estimate of the impact of an X variable on a Y variable. Assess the type of variable that can be used to capture fixed effects. Cite the method by which a forecast can be done with a regression. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Get a thorough grounding in the concepts and skills needed for data analytics, including statistics, financial forecasting, data mining, predictive analytics, and meta-analysis. Skills: Data Analysis and Statistics Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Not sure if you need statistics? Think again! Statistics help with making decisions, new discoveries, investments, and predictions. For subjects ranging from political races to healthcare advancements, statistics can improve your understanding of your favorite topic. In this course, Professor Eddie Davila teaches common terms, formulas, and techniques related to probability, the area of statistics where this course focuses. Eddie explains that probability is used to make decisions about future outcomes and to understand past outcomes. He covers permutations, combinations, and percentiles, and goes into how to describe and calculate them. Eddie introduces multiple event probabilities and discusses when to add and subtract probabilities. He describes probability trees, Bayes’ Theorem, binomials, and so much more. You can learn to understand your data, prove theories, and save valuable resources—all by understanding the numbers. Topics include: Define and explore the basics of probability. Discuss and examine permutations and combinations. Explain how to calculate percentiles. Define the concept of conditional probability. Introduce and use probability trees. Define and utilize Bayes’ theorem. Discuss and explore discrete random variables. Introduce binomials and discuss their relation to normal curves. Examine bell-shaped curves and what they represent. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Analytics is such a broad topic that it´s hard to know where to get started. In this course designed for students, explore how to use data analytics to make informed decisions, and build core analytics skills that can prepare you to enter into the business or data science landscape. Learn about the basics of analytics, how data is typically captured, and how it impacts the day-to-day of a business. This course also provides an introduction to common tools used in analytics, as well as stories designed to help students get an overview of careers that require strong analytical skills. Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

How do reusable services contribute to the management of large volumes of data? How do can they reduce the data volume? Or garantee its quality? And control storage and handling cost?

Dans un environnement hétérogène avec différentes bases de données, un système décisionnel ou du big data, vous pouvez avoir à importer des fichiers et à les insérer dans une base de données. Pour cela, un système ETL (Extraction, Transformation, Loading) est indispensable. Si vous êtes administrateur de bases de données ou développeur, découvrez cette formation sur SQL Server Integration Services. Prenez en main cet outil puissant et facile à mettre en place pour développer des flux d'échanges et de transformation de données. Rudi Bruchez vous guide dans tous les concepts ainsi que dans les pratiques essentielles à connaître pour être productif et opérationnel avec SQL Server Integration Services. Ce cours a été enregistré en partie avec les anciennes versions de SQL Server Integration Services 2017 et a été mis à jour pour la version SQL Server Integration Services 2019. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Vos données sont-elles stockées dans une base de données que vous interrogez à l'aide du langage SQL ? Avez-vous un système décisionnel ? Dans cette formation, Rudi Bruchez vous accompagne dans la mise en place et l'utilisation de SQL Server Reporting Services. Vous verrez comment fournir les informations brutes sous forme d'états ou de tableaux de bord synthétiques et esthétiques, sur un portail web, aux utilisateurs de votre entreprise. Vous apprendrez à créer des états, à les rendre interactifs, à les déployer sur le serveur Reporting Services et à créer des abonnements pour les envoyer aux utilisateurs. Ce cours est orienté vers la pratique et vous aidera ainsi à développer et à mieux déployer vos rapports pour tous vos utilisateurs. Ce cours a été enregistré en partie avec l'ancienne version de SQL Server Reporting Services (2017) et a été mis à jour pour la version SQL Server Reporting Services 2019. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Dans le monde des bases de données, un des adages est qu'une base de données sans sauvegarde n'est pas une base de données. Si vous souhaitez conserver à long terme toutes les informations de votre entreprise, découvrez ce cours sur SQL Server. Rudi Bruchez, consultant indépendant spécialisé en SQL Server, vous explique ce qu'est une sauvegarde de journal de transactions, comment restaurer une page corrompue et comment mettre en place une stratégie solide de reprise sur incident. Ainsi, vous serez en mesure de créer et d'appliquer une stratégie de sauvegarde efficace pour garder vos données importantes. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

En tant qu'administrateur système, et plus particulièrement SQL Server, vous êtes concerné par la haute disponibilité de votre plateforme de données. Avec Rudi Bruchez, découvrez tout ce que peut vous apporter la version 2019. Après une initiation au concept de haute disponibilité, vous effectuerez la mise en place de la couche du système d'exploitation et la configuration du service de cluster de Windows, vous procéderez au basculement et vous mettrez également en œuvre les groupes de disponibilité Always On. Enfin, vous aborderez la haute disponibilité sous Linux. Tirez parti dès à présent de la version 2019 ! Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Dans cette formation qui s'adresse aux ingénieurs système et données, vous apprendrez à mettre en œuvre les clusters big data au sein de SQL Server 2019, le gestionnaire de base de données de Microsoft. Rudi Bruchez rappellera les notions de base sur le big data et les clusters, avant d'installer et de configurer les services associés. Puis, vous procéderez à la mise en place de vos clusters big data, notamment sur la plateforme Microsoft Azure. Enfin, vous passerez à la gestion des données et à leur manipulation avec un certain nombre d'outils et de langages. À la fin de cette formation, vous aurez toutes les cartes en main pour déployer vos clusters big data dans SQL Server 2019. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Azure SQL Database est la version complètement gérée de SQL Server en plateforme en tant que service, ou PaaS. Dans ce cours, Rudi Bruchez, expert en SQL Server et programmation, vous propose d'étudier la migration de vos données SQL Server On-Premises vers le service Azure SQL Database. Pour réussir votre migration, vous effectuerez soit une copie unique de vos bases de données de production vers le cloud, soit une réplication transactionnelle pour vous assurer de la plus petite indisponibilité possible. Ainsi, vous aborderez le sujet avec confiance et vous n'aurez plus besoin de gérer votre propre infrastructure. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

SQL Server est un outil stratégique, notamment pour les entreprises qui ont besoin de bases de données performantes. Votre formateur Rudi Bruchez vous initie à l'architecture de SQL Server et à ses outils de diagnostic. Vous passerez en revue le journal des transactions, les notions d'attentes et d'évènements, etc. Destinée aux administrateurs de bases de données, cette formation vous permettra de mieux analyser la source d'éventuels problèmes et d'y répondre avec efficacité. Ainsi, vous serez bien armé pour déterminer l'origine des problèmes, et plus particulièrement, de ceux qui affectent les performances. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Dans cette formation destinée aux développeurs et ingénieurs utilisant SQL Server 2019, vous aborderez les bases de données décisionnelles. Créées et gérées avec SSAS (SQL Server Analysis Services), elles répondront à vos besoins, aussi bien en mode multidimensionnel que tabulaire. Après l'installation et la prise en main, vous passerez à la réalisation de projets et à l'analyse de données selon le mode choisi. Au terme de cette formation, vous aurez toutes les clés en main pour mettre en œuvre et tirer parti des capacités d'analyse des bases de données décisionnelles. Ce cours a été enregistré en partie avec l'ancienne version de SQL Server Analysis Services (2017) et a été mis à jour pour la version SQL Server Analysis Services 2019. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Dans cette formation destinée aux administrateurs IT, vous découvrirez la version 2019 de SQL Server, le système de gestion de bases de données de Microsoft. Après avoir installé et configuré SQL Server, Rudi Bruchez vous expliquera l'architecture des bases de données, ainsi que la manière de les administrer. Vous aborderez le fonctionnement de SQL Server et vous verrez comment en assurer la maintenance. Puis, en conclusion de cette formation, vous ferez le tour des outils décisionnels, de création de rapports et d'échange de données. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Dans cette formation exhaustive de Rudi Bruchez, vous découvrirez le langage SQL de gestion de bases de données relationnelles. Après un rappel des notions de base et des explications concernant ce type de bases de données, vous vous plongerez sans tarder dans les notions pratiques de requête et de travail avec les tables, de recherche, de regroupement et de modification de données, ainsi que dans l'emploi des sous-requêtes. À la fin de chaque chapitre, vous aurez l'occasion de mettre en pratique les connaissances acquises grâce à des exercices. Topics include: Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course

Are you interested in pursuing a career in data analytics? In this course, instructor Robin Hunt brings you into the mind of an analyst. She defines and explains foundational concepts, such as how to think about data, how to work with others in different roles to get the data you need, and the tools you need to work with data, such as Excel and Microsoft Access. She introduces you to SQL queries, PowerBI, and more. Robin goes into syntax and explains how to interpret the data you see, find the data you need, and clean the data for effective data work. She explains data governance and how to ask the right questions of different departments to gather the data you need. Robin shows how to work with data, including how to import data, work with flat files such as CSVs, and create datasets for others. Robin goes into what cleaning and modeling mean, as well as how to use Power Query in Excel. She has also added challenge/solution sets in each chapter to help you evaluate your skills. Apply for this course

A modern user experience designer understands modern design concepts. They also have the research and analysis skills to design effective, compelling digital experiences across different mobile platforms, the web, and the Internet of things. This path will help you build the foundation for a solid career in UX design. Learn and apply the principles of user centered design. Create wireframes and graphics with industry standard tools like Illustrator and Sketch. Build a UX portfolio that includes interactive prototypes, user personas, and more. Apply for this course

Take your existing programming skills forward by learning how to build robust web apps using the Angular framework. Learn how to leverage the new component-based architecture to create efficient, cross-platform apps. See how to use structures, templates, change detection, data binding, and more. Select the right set of structures for your Angular application. Build a cross-platform compatible app from start to finish. Discover how to test your app and perform debugging. Apply for this course

Grâce à la puissance et à la simplicité de Power BI, comprenez rapidement vos données et faites-les parler. Spécialiste en apprentissage automatisé, Nicolas Georgeault vous accompagne dans ce cours sur l'analyse de données avec le langage DAX. À partir de sources de données brutes, vous construirez les différents éléments qui permettent la réalisation d'un rapport Power BI avancé. Vous passerez en revue quelques concepts tels que la conception des modèles de données. Vous verrez aussi comment transformer des données selon leur format afin de constituer les mesures nécessaires à la création d'un tableau de bord. Une fois normalisées, filtrées et augmentées, vos données seront plus faciles à comprendre par les utilisateurs de vos rapports Power BI. Ils seront en mesure de prendre des décisions plus rapidement à la lumière des transformations que vous aurez effectuées. Apply for this course

Dans cette formation qui s'adresse aux analystes de données, vous apprendrez à tirer parti des fonctions avancées de l'éditeur de requêtes Power Query, notamment à l'aide du langage M. Avec Nicolas Georgeault, vous aborderez les enjeux de la multiplication des sources de données, puis vous ferez un tour d'horizon de Power BI. Ensuite, à l'aide de cas concrets, vous travaillerez avec les données, l'éditeur de requêtes Power Query et le langage M, puis vous finirez sur l'utilisation de modèles de données et les fonctionnalités avancées. À la fin de cette formation, vous serez à même de mettre en œuvre, de manière optimale, des requêtes de données Power Query. Apply for this course

Vous connaissez les bases de Power BI mais vous souhaitez passer à la vitesse supérieure ? Lancez-vous dans l'analyse de données avec les visualisations avancées et les notions indispensables du langage DAX. Dans ce cours, André Meyer, auteur sur Power BI et l'informatique décisionnelle, vous aide à aller plus loin dans le paramétrage des visuels. Vous intégrerez les éléments dynamiques et interactifs dans la requête et dans le tableau de bord. Puis vous aborderez l'écriture de formules en langage DAX conjuguée à la puissance de Power BI. Vous aurez une maîtrise complète de la création d'un tableau de bord, ainsi que les clés du langage DAX pour ouvrir les portes d'une nouvelle dimension de l'analyse. Apply for this course

Si vous êtes analyste et que vous souhaitez aller plus loin dans la visualisation des données dans Power BI, suivez cette formation consacrée à l'utilisation conjointe du langage de programmation R avec le service d'analyse et de décision de Microsoft. Après vous avoir présenté le langage R, Nicolas Georgeault vous accompagnera dans son installation ainsi que celle de ses dépendances. Puis, vous aborderez les différents moyens de visualisation statique et dynamique. À la fin de cette formation, vous aurez toutes les bases pour tirer parti du langage R au sein de Power BI. Apply for this course

Dans cette formation d'André Meyer vous découvrirez Power BI, la solution de Microsoft pour analyser, consulter et partager les données. Après avoir abordé les principes, les composants, le but de cette formation et la configuration, vous entrerez dans le vif du sujet avec des exemples concrets. Vous verrez comment effectuer des requêtes de données vers Excel et d'autres sources, puis comment préparer ces données. Vous apprendrez à créer des tables et des relations, des tables de temps et à exploiter vos données sous forme de visuels. Enfin, vous procéderez au filtrage des données et à leur exportation aux formats PDF et Excel. Apply for this course

This collection of Microsoft Power BI quick tip videos is designed to demonstrate helpful tricks and quickly explain useful features. Discover quick ways to connect data, analyze data, and create visualizations in one place. Plus, explore how to connect and embed data, edit a group workspace, customize a dashboard for mobile phone viewing, and more. Apply for this course

You don’t need a dedicated team to unlock insights into your data. All you need is Power BI. Power BI is a powerful data analytics tool that is streamlining the way business works with data. In this course, instructor John David Ariansen teaches the essential skills you need to analyze data effectively with Power BI. Explore the difference between Power BI Desktop and the Power BI service. Learn key skills, such as importing data, manipulating data, managing relationships, working with Data Analysis Expressions (DAX), and building visualizations and reports. After watching this course, you can feel confident using Power BI for all your business intelligence and reporting needs. This course was created by Madecraft. We are pleased to host this content in our library. Apply for this course

Dans cette formation d'André Meyer vous découvrirez Power BI, la solution de Microsoft pour analyser, consulter et partager les données. Après avoir abordé les principes, les composants, le but de cette formation et la configuration, vous entrerez dans le vif du sujet avec des exemples concrets. Vous verrez comment effectuer des requêtes de données vers Excel et d'autres sources, puis comment préparer ces données. Vous apprendrez à créer des tables et des relations, des tables de temps et à exploiter vos données sous forme de visuels. Enfin, vous procéderez au filtrage des données et à leur exportation aux formats PDF et Excel. Apply for this course

As a data analyst, you probably already know how to build visualizations and use tools like Excel and Tableau. This course challenges you to go beyond the data, beyond the software, and start thinking more clearly and strategically about the foundations of great communication design. Bill Shander, founder of Beehive Media, focuses on the key challenges that analysts face trying to communicate complex information, and how visual communication can help. He breaks down ten key components of great data visualizations—built in any program—and shows innovative ways of rethinking the slides, charts, diagrams, and dashboards you work with every day. Apply for this course

Predictive analytics is one of the richest disciplines within the realm of data science. As the tools and techniques for using data to predict future outcomes have evolved, business and data analysis professionals can use this learning path to stay up to date with the latest advancements. Apply for this course

Many modern organizations have a wealth of data that they can draw from to inform their decisions. But all of this information can't truly benefit a business unless the professionals working with that data can efficiently extract meaningful insights from it. Amazon Web Services (AWS) offers data scientists an array of tools and services that they can leverage to analyze data. In this course, learn about best practices, patterns, and tools for designing and implementing data analytics using AWS. Explore key analytics concepts, common methods of approaching analytics challenges, and how to work with services such as Athena, RDS, and QuickSight. Plus, discover how to visualize text-based data in a more visually intuitive way, use partner solutions for analytics from the AWS Marketplace, and more. Apply for this course

Business analytics allows us to learn from the past and make better predictions for the future. There are three types of analytics used for learning from the past. Descriptive analytics summarizes historical data; exploratory analytics uncovers hidden patterns; and explanatory analytics reveals the reasons for business results. Each type encompasses a different set of tools, technologies, processes, and best practices to derive insights from data. This course by Kumaran Ponnambalam explains why they matter and how and when to use them.He starts by setting the context for business analytics and its various stages. You then explore the stages that focus on the past: descriptive, exploratory, and explanatory. With each stage, you learn about the processes, techniques, and best practices used in the field. Finally, you walk through a use case (the results of an email marketing campaign) that demonstrates how analysis is performed at each stage. Learning objectives Business analytics and its stages Descriptive analytics Exploratory analytics Explanatory analytics Best practices and use cases Apply for this course

Business analytics encompasses a set of tools, technologies, processes, and best practices that are required to derive knowledge from data. It's an iterative and methodical exploration of data to derive insights from it—and, in turn, make smarter, more strategic decisions that are grounded in facts. In this course, learn about the stages in business analytics that are used to predict and build the future—predictive analytics, prescriptive analytics, and experimental analytics. This course dives into each stage, discussing the tools and techniques used for each, as well as best practices leveraged in the field. In addition, the course lends a real-world context to these concepts by using a use case to demonstrate how to execute analytics in each stage. Apply for this course

Discover how to make smarter product pricing decisions that maximize your organization's profits. In this course, instructor Michael McDonald goes over using scenario analysis, price optimization, and variance analysis to model the data analytics behind pricing . Michael explains how to determine bundle pricing in a scenario, estimate price elasticity, compute price optimization profits with one variable or many variables, balance price and sales volume considerations, and more. If you'd like to pursue a career in corporate finance—particularly as a pricing analyst in an insurance, retail, manufacturing, or technology firm—then this course can help equip you with the skills you need to help your company succeed in today's economy.. Apply for this course

Cloud computing brings unlimited scalability and elasticity to data science applications. Expertise in the major platforms, such as Google Cloud Platform (GCP), is essential to the IT professional. This course—one of a series by cloud engineering specialist and data scientist Kumaran Ponnambalam—shows how to conduct exploratory data analytics with GCP. First, review the concepts of segmentation and profiling. Then get hands on, as you learn to perform both text and visual analysis of data using tools provided by GCP: Cloud Datalab, BigQuery, Cloud Dataflow, and Data Studio. Finally, look at an end-to-end use case that applies what you've learned in the course. Learning objectives Setting up Cloud DataLlb for exploratory data analytics Segmentation and profiling Reading and writing data from BigQuery Managing cloud storage buckets Creating visualizations of BigQuery data with the GCP Charting API Managing Datalab instances Apply for this course

Predictive analytics use historic data to look forward, enabling organizations to make better decisions. However, making accurate predictions from big data can be an overwhelming task. Enter Google Cloud Platform (GCP), a suite of cloud-computing services that bring scalability, elasticity, and automated machine learning to predictive analytics. This course—one of a series by data scientist Kumaran Ponnambalam—shows how to apply the power of GCP to generate predictions for your business. Start off by exploring the different tools and features for predictive analytics in GCP, including Cloud Dataproc, Cloud ML Engine, and the machine learning APIs such as Cloud Translation, Cloud Vision, and Cloud Video Intelligence. Then explore learn how to build, train, and deploy models to create predictions. Plus, learn best practices for cost control, testing, and performance monitoring of predictive models. Apply for this course

Big data is transforming the world of business. Yet many people don't understand what big data and business intelligence are, or how to apply the techniques to their day-to-day jobs. This course addresses that knowledge gap, giving businesspeople practical methods to create quick and relevant business forecasts using big data.Join Professor Michael McDonald and discover how to use predictive analytics to forecast key performance indicators of interest, such as quarterly sales, projected cash flow, or even optimized product pricing. All you need is Microsoft Excel. Michael uses the built-in formulas, functions, and calculations to perform regression analysis, calculate confidence intervals, and stress test your results. You'll walk away from the course able to immediately begin creating forecasts for your own business needs. Apply for this course

Building world-class predictive analytics solutions requires recognizing that the challenges of scale and sample size fluctuate greatly at different stages of a project. How do you know how much data to use? What is too little, what is too much? How does your infrastructure need to scale with the volume and demands of the project? This course walks step by step through the strategic and tactical aspects of determining how much data is needed to build an effective predictive modeling solution based on machine learning and what volumes of data are so large that they will create challenges. Instructor Keith McCormick reviews each stage—data selection, data preparation, modeling, scoring, and deployment—with scalability in mind, providing IT professionals, data scientists, and leadership with new insights, perspectives, and collaboration tools.Note: This course is software agnostic. The emphasis is on strategy and planning. Examples, calculations, and software results shown are for training purposes only. Apply for this course

In a world where nearly everyone uses data to inform their business methodologies, an emerging consensus is that more emphasis needs to be placed on validating data; verifying that data-driven conclusions are accurate; and minimizing the risk that your conclusions are incorrect. Although most researchers know what meta-analysis is, few understand how to calculate an effect size from popular metrics such as risk ratios, or how the distinction between fixed and random effects can lead the meta-analyst astray. This advanced-level course for data science and statistics practitioners and researchers covers raw mean differences—specifically for experimental and comparison groups—and how to convert useful outcome measures such as relative risk and odds ratios to commensurate measures of effect size. Plus, learn about how confidence intervals are created for binary outcome measures. Apply for this course

Use big data to tell your customer's story, with predictive analytics. In this course, you can learn about the customer life cycle and how predictive analytics can help improve every step of the customer journey.Start off by learning about the various phases in a customer's life cycle. Explore the data generated inside and outside your business, and ways the data can be collected and aggregated within your organization. Then review three use cases for predictive analytics in each phase of the customer's life cycle, including acquisition, upsell, service, and retention. For each phase, you also build one predictive analytics solution in Python. In the final videos, author Kumaran Ponnambalam introduces best practices for creating a customer analytics process from the ground up. Apply for this course

A proper predictive analytics and data-mining project can involve many people and many weeks. There are also many potential errors to avoid. A "big picture" perspective is necessary to keep the project on track. This course provides that perspective through the lens of a veteran practitioner who has completed dozens of real-world projects. Keith McCormick is an independent data miner and author who specializes in predictive models and segmentation analysis, including classification trees, cluster analysis, and association rules. Here he shares his knowledge with you. Walk through each step of a typical project, from defining the problem and gathering the data and resources, to putting the solution into practice. Keith also provides an overview of CRISP-DM (the de facto data-mining methodology) and the nine laws of data mining, which will keep you focused on strategy and business value. Apply for this course

Data Visualization Tips and Tricks is a series of standalone lessons on how to do data viz the right way, every time. Presented by award-winning data visualization expert (and Tableau-designated "Zen Master") Matt Francis, this software-agnostic course is designed for experienced data scientists and analytics specialists and serves as a must-have bank of knowledge and best practices. Learn how to choose the right visualization for your data, and answer the 5 key questions you should ask yourself at the beginning of every project. Topics include understanding the relationships between data sets, making comparisons, charting relationships, visualizing data distributions, creating maps, and—most valuably—knowing when to use which types of graphs and charts. Matt also teaches you how to understand what others are doing with their own visualizations, ask informed questions, and look with a critical eye at the work of others. Apply for this course

Make your data beautiful; turn it into an infographic. Infographics make complicated information easily understandable and visually compelling. In this course, Nigel French memorializes the soldiers and events of World War I, but you can use these lessons to build almost any kind of infographic. Learn how to use Illustrator, InDesign, Photoshop, and Excel together to analyze and chart the data, plot locations on a map, and build a timeline that simply details a complex sequence of events. Along the way, Nigel explains how to choose fonts and color, create a background image, and finally convert your print graphic into a format suitable for websites. Apply for this course

Many anthropologists believe our early ancestors built societies around campfire stories about justice, leadership, and government. Your data science teams will also have complex ideas about their data and results. That's why it takes a well-structured story to communicate these insights to the rest of your organization. It's not simply a matter of creating the perfect Excel sheet or a beautiful graph. You need to tell a story that captures your audience's imagination and encourages them to take some action. In this course, instructor Doug Rose explains how to weave together a great data science story and draw your audience into the story to communicate complex ideas and motivate everyone to make real changes. Apply for this course

Discover how to build, edit, and publish interactive reports using Reporting Services in SQL Server. In this course, author Adam Wilbert shows how to create, format, and share reports that leverage a variety of data sources. First, he takes you through the setup process, followed by the step-by-step process of building a report. He covers interactive elements, formatting, charts, sorting, filtering, web viewing, and mobile viewing. Adam also shares best practices, tips, and tricks that you can use to ensure your reports are dynamic. Apply for this course

Dans cette formation destinée aux développeurs et ingénieurs utilisant SQL Server 2017, vous aborderez les bases de données décisionnelles. Créées et gérées avec SSAS (SQL Server Analysis Services), elles répondront à vos besoins, aussi bien en mode multidimensionnel que tabulaire. Après l'installation et la prise en main, vous passerez à la réalisation de projets et à l'analyse de données selon le mode choisi. Au terme de cette formation, vous aurez toutes les clés en main pour mettre en œuvre et tirer parti des capacités d'analyse des bases de données décisionnelles. Apply for this course

Lean teams are nimble and diverse. They include product managers, developers, and operations specialists, who may only work together for a short time. How do you manage people that play such different roles and unite them towards a common goal? In this course, Jez Humble provides tips to build high-performance product teams. He compares the strengths of the Taylorist vs. lean management approaches, explains how culture contributes to high-performing teams, and introduces a well-documented case study of a company changing a culture for the better. Plus, learn how to improve performance and adopt the principles of high-performing teams as your own. Apply for this course

Lean management focuses on building your organization's capability, innovating your ways of working, and improving the quality of your business outcomes. Lean principles can help in a variety of different industries—including technology, where effectiveness and efficiency are paramount. In this concise course, learn how to leverage lean strategies to kick-start your business transformation. Instructor Barry O'Reilly discusses the improvement kata, explaining how it can be used to tackle problems in an organization and gain a competitive advantage. He also shares how to lead and scale your transformation initiatives. Apply for this course

The Green Belts or Black Belts that lead Lean Six Sigma projects are well-trained and ready to guide your project to the finish line. But what do you, as a team member on a Lean Six Sigma project team, need to know to be effective? In this course, Dr. Richard Chua provides coverage of fundamental Lean Six Sigma concepts that can help you add value to your project. Here, he focuses on key tools and techniques in the Define and Measure phases of the DMAIC—Define, Measure, Analyze, Improve, and Control—approach. Discover how Lean Six Sigma integrates lean into DMAIC. Learn about the project charter, process mapping, using Pareto charts to identify problem areas, and more. For information about the final three phases of DMAIC, make sure to check out the next installment of the Lean Six Sigma Teams series. Topics include: How Lean Six Sigma integrates lean into DMAIC Understanding the purpose and steps of the Define phase Using process and value stream maps Using SIPOC to define the process and its key stakeholders Quantifying the cost of poor performance Using statistics to summarize baseline performance Using Pareto charts Using variation plots Apply for this course

In many ways Kanban is counterintuitive. The system relies on basic rules and practices, and these rules can help you start a large-scale organizational change. The kanban board might only appear to be a simple diagram that shows the team's workflow. But it can help build cross-functional self-organized teams, encourage better collaboration, and increase your team's productivity. Kanban is a key way to introduce lean principles in your organization. Lean can help your teams better prioritize their work and continuously improve by removing the waste or "muda" from your process. In this course, explore essential lean principles and discover how to use a kanban board to help your team prioritize more effectively. Learn about starting enterprise lean, setting up a board, optimizing your flow, and more. Apply for this course

Learn about lean: an operations management approach that means creating more value for customers with fewer resources. A lean organization understands customer value and focuses its key processes to continuously increase it. The ultimate goal is to provide perfect value to the customer through a value creation process that has zero waste.Lean concepts have been successfully applied to every aspect of doing business. In this course, learn the principles of lean and how they are used in processes, production, and services. Instructor Steven Brown also explains how lean thinking impacts the organization, from the overall business culture to day-to-day work activities. Topics include: What is lean? Process mapping and reengineering Cost and constraints Lean manufacturing Lean services Lean culture Lean thinking Deze cursus is enkel beschikbaar in het Engels. Als dit voor u geen probleem vormt, dien dan gerust uw aanvraag in. Apply for this course

Lean Six Sigma combines the principles of lean enterprise and lean manufacturing with Six Sigma to improve performance and systematically remove waste. Supply chain expert and professor Steven Brown explains the basics of using Lean Six Sigma as a structure for your improvement efforts.Steven outlines the process stages in Six Sigma (define, measure, analyze, improve, and control), along with the Lean toolkit: the 5s principles, kanban (scheduling), downtime, poka-yoke (error proofing), and kaizen (continuous improvement). He also explains how leadership works within Lean Six Sigma, the principles of project execution, and how Lean Six Sigma is applied to the service sector and supply chain management. Make sure to watch the "Next steps" video at the end of the course for further resources. Apply for this course

Why use GraphQL over REST APIs? GraphQL is better at querying multiple databases, offers an easy-to-learn syntax, and allows you to retrieve only the data you need. Learn when you should migrate from REST to GraphQL, and how to convert your REST API add, update, and delete operations into GraphQL mutations. Instructor Emmanuel Henri also explains how to build simple, useful queries; use arguments, fragments, and aliases in queries; and perform operations using GraphQL. Learning Objectives: Setting up GraphQL Creating the initial schema and type Setting up simple queries Leveraging arguments and aliases Reading, updating, adding, and deleting items with GraphQL Posting data with mutations Apply for this course

APIs are a crucial business driver for delivering data to your applications. In this course, learn about various options for securing your RESTful API that can help you keep your application data—and your users—safe. Instructor Emmanuel Henri begins the course with an overview of top security threats and an introduction to the Open Web Application Security Project (OWASP), an important resource on security. He then steps through how to set up and secure a Node and Express API, including how to add handlers for registration and login, finalize secured endpoints, and test your finalized API. To wrap up, he shares a few alternatives for securing APIs. Topics include: Open Web Application Security Project (OWASP) Reasons for using a JSON Web Token (JWT) Adding bcrypt password hashing Adding handlers for registration and login Finalizing secured endpoints Testing APIs with Postman Apply for this course

Learn how to use Git, the popular open-source version control software, to manage the source code for almost any project. In this course, Kevin Skoglund explores the fundamental concepts behind version control systems and the Git architecture. Using a step-by-step approach, he shows how to install Git and presents the commands that enable efficient code management. Learn how to add, change, and delete files in the repository; view a log of previous commits; and compare versions of a file. Plus, see how to undo changes to files and ignore certain files in a Git repository. Topics include: Exploring the history of version control Installing Git on Mac, Windows, and Linux Initializing a repository Writing useful commit messages Understanding the Git three-tree architecture Tracking when files are added, edited, deleted, or moved Viewing change sets and comparing versions Undoing changes and rolling back to previous versions Ignoring changes to select files Apply for this course

Agile teams need a lightweight way to report their progress. Agile reports should be simple and easy to read, and radiate information across the room to the entire team. In this course, agile expert Doug Rose outlines a process for reporting on the progress of your agile project. He shows how to establish priorities using product backlogs, show daily progress using taskboards, burn down a sprint using sprint burndown charts, and burn down a release by creating a release burndown chart. He also highlights common pitfalls, such as retrofitting. Bonus: Watch the bonus chapter at the end of this course where Doug answers common questions about the agile mindset, including what types of projects would be the best fit.Topics include: Communicating progress Prioritizing the backlog Showing daily progress with a taskboard Sizing taskboards Creating a burndown chart Apply for this course

Validation is key to successful online forms. Implementing dynamic form validation that reacts to input can be difficult to implement with languages like JavaScript and jQuery. However, AngularJS allows you to take advantage of two-way data-binding functionality without having to write any JavaScript code. This makes reacting to input from the user—as it happens—a breeze. In this short course, Ray Villalobos shows how to implement form validation on any HTML form using the built-in validation properties and methods in AngularJS. Together, you'll look at how AngularJS can help style forms dynamically as the user updates the content. Plus, explore how to implement validation with JavaScript, just in case you need more fine-tuned control of form interactions. Apply for this course

PHP is still one most popular server-side languages used to build dynamic websites, powering everything from Facebook to Wikipedia. And although it is not especially difficult to use, nonprogrammers often find it intimidating. This introductory course was designed to change that by teaching you PHP through a series of clear, focused, and easy-to-follow lessons. After briefly explaining what PHP is, instructor Joe Casabona introduces the features of the language. He covers variables, control structures, calculations, loops, and functions, as well as includes and error handing, in a series of hands-on exercises. He then moves on to more advanced topics, including how to maintain state with sessions and cookies. Upon wrapping up this course, you'll have the skills you need to start developing and maintaining interactive websites using PHP. Topics include: Naming variables Storing text as strings Doing calculations with PHP Using conditional statements to make decisions Creating custom functions Deciphering error messages Emailing the contents of an online form Dealing with multiple-choice form fields Apply for this course

Master the core features of Microsoft® Project 2016, the powerful project management software. Learn how to best set up such project components as work tasks, summary tasks, milestones, and recurring tasks. Author Bonnie Biafore, a Project Management Professional (PMP)®, also explores the different types of resources used in projects, and how to set up their availability and cost. She also shows how to link tasks together and assign resources to tasks to build a realistic project schedule. Finally, the course explains how to use Project 2016 to help evaluate your schedule and resource workloads to make sure you're bringing a project in on time and within budget. Bonnie also shows how to use the new features in Project 2016, such as multiple timelines and the "Tell me what you want to do" field. NOTE: This course updates our Microsoft Project 2013 Essential Training course for Project 2016, and most videos will work with both versions of the software. For Microsoft Project 2010 compatibility, see Project 2010 Essential Training. Apply for this course

Building on the skills learned in the popular Project 2010 and Project 2013 Essential Training courses, author Bonnie Biafore teaches more advanced aspects of the popular project management software, first introducing powerful shortcuts for opening and saving files, and then moving into assigning resources, managing project costs, and setting up earned value tracking. She also provides handy tips for exchanging data with other projects as well as linking and embedding data. Viewers will then learn how to customize fields and generate cool graphical and visual reports. Finally, the course shows how to share various customizations and configurations as well as best practices for managing multiple projects. Apply for this course

Microsoft Project has an almost overwhelming number of features. How do you understand everything it can do? This tips-based course shows you how to get the most out of Microsoft Project, sharing time-saving tricks, powerful shortcuts, and reviews of cool hidden features. Bonnie Biafore shares techniques to increase your expertise, boost your productivity, and coax Project to do exactly what you want. Learn to create hammock tasks, prevent duplicate resources, create new views, summarize resource utilization, and more. Check back every Tuesday for a new tip. To suggest a tip for Bonnie to cover in the future, submit course feedback. Note: Because this is an ongoing series, viewers will not receive a certificate of completion. Apply for this course

Do you rely on IT to get the data you need? Are you often stuck waiting in line for data, and wish you could just retrieve it yourself? In this course, learn how to get the data you want by writing a bit of SQL code. You won't just be able to pull data out of the database; you'll be able to manipulate it: merging it, grouping it, and relabeling it to get just the report you want. Join Emma Saunders as she shows how to write simple SQL queries for data reporting and analysis. Learn how to filter, group, and sort data, using built-in SQL functions to format or calculate results. Discover how to perform more complex queries, such as joining data together from different database tables. Last but not least, she introduces views, procedures, functions, and variables. Topics include: Retrieving data with SELECT statements Filtering and sorting your results Transforming results with built-in SQL functions Grouping SQL results Merging data from multiple tables Using variables, functions, and procedures Apply for this course

En tant que responsable de la sécurité ou DSI, vous devez mettre en place une politique de cybersécurité pour répondre aux menaces qui pèsent sur votre informatique. Pour cela, Pierre Cabantous vous propose de faire un tour de la cybersécurité en entreprise. Dans ce cours, vous étudierez la démarche d'un pirate, avant et après l'intrusion dans un système, à la suite de l'exploitation d'une vulnérabilité. Vous verrez comment gérer ces vulnérabilités par rapport à un niveau de risque que vous apprendrez à calculer. Vous aborderez aussi une des principales menaces encourues aujourd'hui par tout service accessible en ligne : les attaques par déni de service. Puis vous découvrirez comment protéger votre organisation aux niveaux technique et organisationnel, en suivant des bonnes pratiques, des process ainsi que des normes européennes comme le RGPD. This course is in French only. If this is not a problem for you, by all means go ahead and apply. Apply for this course //

Créez et personnalisez des visuels pour présenter les données de manière convaincante et intéressante.

Is your organization looking to realize the time, quality, and cost benefits of agile project management? If so, then this course is for you. Join project management trainer and agile expert Kelley O'Connell as she helps those interested in experimenting with agile understand the difference between traditional waterfall and agile methodologies, as well as what's required for success. Kelley provides advice on how to garner support for your pilot project by identifying supporters early on and keeping them engaged while also responding to detractors. She then leads you through the process of picking a pilot project, choosing the right team, and setting the vision. To wrap up, Kelley provides a short overview of agile basics—including how to approach sprint planning—to help you get started. Apply for this course

Agile is an exciting way to quickly deliver higher-quality products to your customer. New agile tools are emerging every day. This course helps you compare the strengths and capabilities of several different agile software tools, including Microsoft Excel, Atlassian JIRA, VersionOne, Microsoft Team Foundation Server (TFS), CA Agile Central (formerly Rally), and Agility Health. You'll see the advantages of simple tools like spreadsheets versus more complex solutions like complete product management packages. This course helps project managers, software developers, and other professionals determine which tool is the best fit for their team. Agile expert Doug Rose provides a fast-paced tour and an unvarnished look at what some of the tools get right and what some get wrong. Doug concludes each section with suggested strategies for selecting the right tool for your team—always remembering that no tool should ever overshadow the core values outlined in the agile manifesto. Apply for this course

Agile project teams create short user stories as a way to plan out the work for upcoming sprints. In this course, agile expert Doug Rose shows how to write these user stories and prioritize them in the product backlog. He also shows how to avoid the most common pitfalls with agile project planning. Apply for this course

Many new agile teams think flexibility in their meetings allows them to do whatever feels right. In reality, agile projects move more smoothly by running short, well-structured activities. Each activity is timeboxed, so the teams stay on track and work within a set time and agenda. In this course, agile expert Doug Rose outlines how to make agile meetings as productive as possible. He provides guidance on common activities such as release planning, daily stand-ups, sprint planning, and product demos. Throughout the course, learn about common meeting pitfalls and the challenges of keeping activities on track. To learn more about agile, watch additional courses in the Agile at Work series. Apply for this course

Designed to help increase the pace and quality of a team’s work, agile retrospectives utilize a structured format to gather insights, identify challenges, create a more agile mindset, and make a team more productive and successful. Author Doug Rose outlines the five phases of a successful retrospective: setting the right direction, getting all the issues on the table, gathering insights from the team, making decisions, and applying changes. He describes how to use a starfish diagram or PANCAKE approach to facilitate a comfortable and effective retrospective, and finally, discusses the importance of closing a retrospective with clear action items for the next sprint. Apply for this course

Most API testing doesn't actually test the API. This course shows how to validate your API from the consumer's point of view, testing to confirm that problems experienced by your end users are being solved. Join Keith Casey as he focuses on how to approach API testing by implementing a behavior-driven development model. Keith uses Gherkin to set up a Behat environment so you can see how to write and run your first test. Then, he shows how to build API test requests, including how to introduce variables, authenticate requests, and validate responses. He also covers refactoring tests, establishing system states, using extensions for batch operations, and more. Apply for this course

Knowing how to work efficiently and securely with APIs is crucial in software development. Learn RESTful APIs from the ground up as a new or experienced developer, filling in any foundational knowledge gaps around HTTP requests and how to validate an API's behavior. If you are consuming, designing, or maintaining an API, this learning path is for you. Follow this path with tech-specific API courses of your choosing to apply your knowledge in practical project-based courses. Skills: Back-End Web Development, Application Programming Interfaces, Front-end Development Apply for this course

Having a solid understanding of how to correctly build APIs is important for any developer planning on creating websites. In this course, learn how to plan and model your own APIs, and explore the six REST design constraints that help guide your architecture. Keith Casey starts with a simple overview, including advice on identifying the users or "participants" of your system, and the activities they might perform with it. He discusses how to validate your design before you build it, and explores the HTTP concepts and REST constraints needed to build your API. To wrap up, Keith goes over some of the most common API design patterns you may encounter. Topics include: Approaches to adding an API Modeling tips Identifying activities and breaking them into steps Mapping activities to verbs and actions Creating and grouping API methods Validating your API HTTP headers and response codes Common design challenges Versioning best practices Hypermedia and documentation approaches Apply for this course

Learn the basics of REST APIs. In this course, discover what REST APIs are, why they matter, and how putting them to use can help you build faster, more efficient applications. Review how HTTP and REST APIs relate, explore the six constraints of REST, and learn about HTTP status messages. Learn how to get started with consuming REST APIs to incorporate them into data-driven applications. Topics include: What is a REST API? Who or what interacts with REST APIs? Anatomy of a REST request HTTP status messages Request/response pairs GET, POST, and DELETE Apply for this course

There's a critical link between an organization's goals and its performance metrics. A beautiful mission statement is nothing without specific, actionable measures that provide incentives to succeed. These actionable numeric measures are called key performance indicators (KPIs) and can be organized into a structure called the balanced scorecard. The scorecard helps you quantify business performance over time: weeks, months, quarters, or even years. In this course, accounting professors Jim and Kay Stice explain what KPIs your business should consider in a balanced scorecard, from financial goals to employee and customer satisfaction. They describe how to craft a clear mission statement that complements your KPIs, and how to tie performance to incentives. Plus, get a look at KPIs in action, as Jim and Kay break down a case study examining a trucking company's balanced scorecard. Learning Objectives: The importance of KPIs and measuring performance Financial goals and measure Customer needs and satisfaction Employee growth Employee growth Creating an effective mission statement Linking measurements and rewards Examining a KPI case study Apply for this course

When it comes to negotiation, shifting your mindset from "a battle to be won" to "a problem-solving conversation" can improve your results dramatically. In this course, leadership coach, negotiation expert, and author Lisa Gates demonstrates the core skills of interest-based negotiation to get win-win outcomes every time. Learn a step-by-step strategy for negotiating everyday workplace issues, from asking for a raise or promotion to pitching ideas and resolving conflict. Lisa covers techniques such as diagnostic questions, anchoring, framing, and labeling, which help you navigate impasse and generate satisfaction on both sides of the bargaining table. Along the way, discover how to prepare for a negotiation, cultivate your influence, get into a zone of agreement even when you have to say "no," and negotiate remotely over phone or email. Lisa also shares her best negotiation tips and tricks and provides worksheets to practice your skills. Apply for this course

Communicating effectively isn't an innate talent that some people have and others don't—it's something that anyone can learn and practice. In this course, learn strategies that can help you hone and master your interpersonal communication skills. Join personal branding and career expert Dorie Clark as she shares techniques for getting your message across effectively in the workplace, and explains how to tackle potential communication challenges with your colleagues and supervisor. She also discusses how to grapple with tricky situations, taking you through how to handle interruptions, respond to critical feedback, and communicate across cultures. Apply for this course

Communication is an integral part of strong teamwork. In this course, Kelley School of Business professor Dr. Daisy Lovelace walks managers through how to cultivate the communication practices of high-performing teams. She highlights the foundations of successful teams, and explains how to craft a team charter to establish ground rules for how you work together as a cohesive group. She also discusses essential elements of team communication—such as creating a shared vision and holding teammates accountable—and shows how to best communicate with your team in different settings. Apply for this course

Learn how to communicate more effectively. Your communication skills affect your career prospects, the value you bring to your company, and the likelihood of your promotion. This course helps you communicate better in a variety of professional situations, including meetings, email messages, pitches, and presentations. Instructors Tatiana Kolovou and Brenda Bailey-Hughes introduce the four building blocks of communication—people, message, context, and listening—and show how they apply in different circumstances. Through the use of vignettes and applied tools, the course shows how to build this core competency and communicate in a way that effectively and professionally conveys your message. Apply for this course

Leadership—the art of influencing and developing others to achieve their highest potential—is often identified as the most critical role in an organization. But what is effective leadership and how do you cultivate it? In this course, leadership consultant and global workforce expert Dr. Shirley Davis covers the basics of leading yourself and others. Along the way, she identifies the critical competencies and best practices for effectively leading today and in the future. Learn how to lead across differences and cultivate a more inclusive workplace; establish trust; build relationships up, down, and across the organization; lead change through agility and resilience; have difficult conversations; and more. Apply for this course

Data science is driving a world-wide revolution that touches everything from business automation to social interaction. It’s also one of the fastest growing, most rewarding careers, employing analysts and engineers around the globe. This course provides an accessible, nontechnical overview of the field, covering the vocabulary, skills, jobs, tools, and techniques of data science. Instructor Barton Poulson defines the relationships to other data-saturated fields such as machine learning and artificial intelligence. He reviews the primary practices: gathering and analyzing data, formulating rules for classification and decision-making, and drawing actionable insights. He also discusses ethics and accountability and provides direction to learn more. By the end, you’ll see how data science can help you make better decisions, gain deeper insights, and make your work more effective and efficient. Apply for this course

You don't have to be a designer to create a great-looking presentation. Learn how to use Microsoft PowerPoint for Office 365 to quickly create, edit, and share professional-looking presentations. In this training course, Jess Stratton shows how to get started with PowerPoint templates and themes or build a new presentation from scratch. She explains how to change the slide layout; add and edit text, images, charts, video, and animation; format slides for consistency; and add speaker notes and comments to ensure a smooth delivery. Plus, discover how to collaborate on changes and share presentations with others. By the end of the course, you'll know how to use the PowerPoint tools and follow a few simple design rules to draw attention to your message and deliver a presentation that shines. Apply for this course

Learn how to create, edit, format, and share documents with ease using the Office 365 version of Word. Follow along with David Rivers as he shows all the essential features of this powerful tool. This course covers how to edit and format text to create a stylish document with instant purpose; create numbered and bulleted lists; work with columns and tables; add images and shapes to your documents; collaborate on documents with your team; and share documents via OneDrive and email. Plus, discover how to use the proofing tools in Word to check spelling and grammar, get word counts, and more. Apply for this course

The most common questions about using Excel now have timely video answers. This set of quick tips provides helpful, condensed steps you can readily apply to keep on task—whether you're running calculations, setting up a new workbook, fixing a sheet you received, or getting tables ready for presentation. Each video is about one minute long, so you can jump in and get some helpful insights in no time. Apply for this course

Interviews can be an effective component in identifying requirements during project planning, and help business analysts and project managers understand the project from the user's point of view. This course covers interview techniques that can help build relationships with project stakeholders and obtain accurate information about project needs. Author Angela Wick helps you identify when to use interviews, who to interview, and how to plan, conduct, and follow up on interviews. Apply for this course

When you're trying to grapple with user demands and market changes, it can be difficult to mentally zoom out and assess your organization's operations. Business process modeling helps you see the big picture by allowing you to translate your business processes into easily understood pictures. In this course, instructor Haydn Thomas walks you through the most widely used business process modeling diagrams—context, functional flow, cross-functional flow, and flowchart—and explains the purpose of each one. As Haydn touches on each modeling technique, he shares its unique features, explains how to use that technique to create a diagram, and points out how to avoid common pitfalls. He pulls it all together by comparing process diagrams so you can select the right one for your organization. Apply for this course

In a business environment where complexity and change are the norm, business analysts and project managers can collaborate together to get more successful results and better business outcomes. If you're a PM or BA, this course will help you understand what great collaboration looks like. Explore exactly what each role entails, and what the ideal partnership can achieve. Discover how BAs and PMs can collaborate at each stage of a project, from scope management and project planning to implementation. Then find out where the roles and responsibilities overlap, and learn how to coordinate on these tasks to enhance communication, reduce risk, engage stakeholders, and more effectively respond to change requests. Apply for this course

Customer needs change every day. We need our products to keep up. Take an agile approach to requirements analysis: Learn the mindset and techniques necessary to discover requirements for an agile project and succeed in the business analyst (BA) role. Angela Wick reviews the 12 agile principles from a BA's perspective, introduces backlog management techniques, and discusses techniques such as product decomposition, user stories and story maps, which help BAs deliver products that truly delight customers. Plus, find out what concepts such as "minimum viable product" and "value stream" mean to people in the BA role. Apply for this course

One of the main reasons given for unsuccessful project results is the lack of clear understanding of stakeholder requirements. Business analysis helps to prevent project failure by identifying and validating those requirements early on. Of course, business analysis doesn’t stop with requirements; business analysts also recommend solutions and facilitate their execution. This course provides an introduction to the foundations of business analysis. It helps demystify the role of the business analyst (BA), and outlines the knowledge and skills required to build a successful BA career. Instructor Greta Blash also provides an in-depth review of the business analysis process, from conducting a needs assessment and identifying stakeholders to testing, validation, and release. Each lesson demonstrates why business analysis works—and how you can use it to improve your organization. Apply for this course

In this learning path, you can learn all the skills to gather, document, and analyze business needs and requirements and become a successful business analyst. Develop basic business analyst skills required for this role. Demonstrate technical skills to execute effectively. Build leadership and communication skills to excel and advance. Apply for this course

You have a great idea you believe will improve your business. In order to make your idea a reality, you may be asked to write a business case that clearly articulates what you want to accomplish, how you're going to do it, and why it's worth doing. Business cases are traditionally used in approval and prioritization processes. They can also be used to measure the results of an initiative. In this course, join Mike Figliuolo as he explains step-by-step how to craft a compelling business case for your stakeholders. Mike covers how to define the problem your plan addresses, communicate your idea's benefits, build the financial projections to support your case, create a robust risk assessment, and more. Learning objectives Define the structure and uses of a business case. Write effective executive summaries. Explain the components of a problem definition. Describe how to articulate the benefits of an idea. Estimate financial results and identify measurements of success. Describe how to outline risks and opportunities. Create milestones. Apply for this course

All good software starts with a great design. Object-oriented design helps developers plan applications before they write a single line of code, and break down ideas into reusable and maintainable components. This course focuses on the foundational concepts, teaching them in a fun, interactive way to help you quickly develop your skills. Tag team Olivia and Barron Stone introduce you to the concepts and terms—objects, classes, abstraction, inheritance, and more—that you need to get started. They then show how to take the requirements for an app, identify use cases, and map out classes using Universal Modeling Language (UML). The final design can then be translated into code using one of the many popular object-oriented programming languages, such as Java, C#, Ruby, or Python. Learning objectives Object-oriented basics: objects, classes, and more Encapsulation Inheritance Defining requirements Identifying use cases, actors, and scenarios Domain modeling Identifying class responsibilities and relationships Creating class diagrams Using abstract classes Working with inheritance Developing software with object-oriented design principles Apply for this course

Modeling with the Unified Modeling Language (UML)—a visual design language for object-oriented programming—is a critical skill for all team members in a software development project. These models are a cost-effective way for collaborators to analyze, communicate, and document their product's characteristics. In this course, learn how to use UML diagrams to create important artifacts at each stage of the software development life cycle. Instructor Neelam Dwivedi shares best practices and tools as she goes over 13 different types of UML models, explaining what you need to know to develop static and dynamic models of software systems. Learning objectives How UML differs from other modeling techniques Types of UML models UML modeling tools Use case, activity, and class diagrams Capturing real-time state of your system in action Using component diagrams Interaction overview diagrams Modeling time-constrained interactions Apply for this course

Le diagramme de classes UML (Unified Modeling Language) peut convenir parfaitement à la modélisation d’une base de données. Avec votre formateur Christian Soutou, vous découvrirez tous les mécanismes à adopter afin de construire vos modèles relationnels d’une manière optimale et de générer vos scripts SQL. Vous pourrez appliquer ces principes à n’importe quel système de gestion de base de données (SGBD) du marché (Oracle, SQL Server, DB2, MySQL, PostgreSQL, etc.). Cette formation suit les niveaux du processus de conception d’une base de données. Elle présente aussi méthodiquement les concepts et les solutions de chaque étape. Que vous soyez développeur, analyste ou chef de projets, découvrez UML sous un autre jour ! Apply for this course

In today’s big-data world, understanding how to model phenomena with a relational database is an invaluable skill. A variety of different users—from government agency employees to gamers—rely on relational databases for everyday operations. In this course, join Adam Wilbert as he covers the fundamentals of the relational model for creating databases of real-world situations. Adam goes over concepts that are applicable to a wide variety of platforms, including SQL Server, Oracle, Access, MySQL, and PostgreSQL. Learn the basics of data storage, review the structure of a data table, and learn how to plan your relational database using an entity-relationship design tool. Plus, explore data integrity and validation, table relationships, writing queries, and more. Learning objectives The basics of data storage Choosing an entity-relationship design tool Using primary keys to identify records What to consider when naming objects Creating a unique constraint Establishing table indexes Relating tables with foreign keys One-to-many and one-to-one relationships Normalization Writing SELECT queries in SQL Apply for this course

Understand the core concepts every IT professional should know to start working with databases. This course, the first in a four-part series with database consultant Adam Wilbert, is designed to provide a solid foundation that will serve you throughout your IT career. Learn about the different data storage models and find out how to build your first database with SQL Server—the Express edition, which requires no hardware or special connections for setup. Then discover how to create database objects with the data definition language (DDL) and edit data in your tables with data manipulation language (DML). Adam also covers critical relational database concepts, such as relationships, indexes, and schemes.Note: This course will also prepare certification candidates for the Microsoft Technology Associate Exam 98-364, Database Administration Fundamentals. Apply for this course

Have you ever opened up a database that someone else built and felt a little lost? Or ever thought of designing your own simple database and been unsure of where to start? Or perhaps you need to work with a team of database professionals and don't know how to speak their language? This course can help you overcome these hurdles.Adam Wilbert covers the basics of relational database design, regardless of whether you use Access, FileMaker, Open Office, or SQL Server. Learn how to prevent data anomalies, gather requirements to plan your design, and develop a conceptual data model—translating your ideas into components like tables, relationships, queries, and views. Plus, learn about logical design considerations that can help you construct a database that is easy to maintain. Learning objectives Identify the three rules of relations. Summarize the four stages of developing a relational database. Describe a strategy one might use to ensure a database remains flexible in terms of the questions a user can ask. Explain how to avoid scope creep. Recall the characteristics of a Lookup Table. Recognize situations in which denormalization would be beneficial. Understand the types of relationships modeled by junction tables. Define referential integrity. Apply for this course

The ability to successfully build a RESTful web service is an essential skill in today's Internet-dominated industry. In this course, learn how to develop a RESTful client and server application using the Java Enterprise Edition implementation of the REST architectural style, JAX-RS API 2.0. This powerful and fully-featured API enshrines industry best practices as it integrates seamlessly with other essential APIs such as Bean Validation and JSON Processing. Join Alex Theedom as he guides you through a wide range of topics, including how to define resource endpoints, how to add dynamism to your application with hypermedia, how to maintain data integrity with Bean Validation, and how to process messages with the JSON Processing API. Once you have completed this course, you'll be ready to develop your own client and server RESTful APIs. Topics include: Discover the extent of JAX-RS's features Use the annotation methodology Use the inheritance methodology Define a REST contract and API root Create the REST resource entity Create the REST resource methods Understand consumers and producers Work with different media types Define and work with path parameters Build a REST response and handle exceptions Implement Bean Validation and manage failures Create a RESTful client that consumes the web service Use JSON-P API with the REST client Implement hypermedia (HATEOAS) Apply for this course

Version control is an essential skill for developers to master, and Git is by far the most popular version control system on the web. In this fast-paced course, author Ray Villalobos shows you how to install Git and use the fundamental commands you need to work with Git projects: moving files, managing logs, and working with branches. Plus, you'll learn how to work with the popular GitHub website to explore existing projects, clone them to your local hard drive, and use them as templates for your new projects. Get started now. Want to explore Git and GitHub in more depth? Watch Git Essential Training for more comprehensive coverage of these tools. Apply for this course

Development teams transitioning to distributed source control with Git often experience friction when initially adopting the tool. Often, the root cause is related to issues surrounding culture and practices as opposed to a technical learning curve. In this course, Kevin Bowersox covers collaboration strategies for teams using Git, discussing tools and techniques that can help you and your team circumvent the challenges that hinder the delivery of high-quality software. Kevin shares best practices and tips that can help you avoid common pitfalls that often cause teams to veer off track. Learn branching strategies, how to build a continuous integration pipeline, and more. Topics include: Identifying team conventions and best practices with Git Avoiding common pitfalls Teaming with remote platforms Implementing Git worklow and branching strategies Building a continuous integration pipeline Building a DevOps foundation Apply for this course

Many organizations deliver products with dozens or even hundreds of teams. For these organizations, spinning up a few agile teams is just the start. Eventually, they'll want to scale up their agile approach to work on enterprise-level products—a shift that presents a whole new set of challenges. Enterprise agile requires a different organizational mindset along with new roles and practices. There are many different enterprise agile frameworks that will help you with this transformation, but switching to these frameworks isn't your biggest challenge. Enterprise agile is a radical change from how most organizations think about their work. If you don't prepare your teams for this change, then it's unlikely that any enterprise framework will succeed.That's why this course is the first in a four-part series on enterprise agile. In this course, Doug Rose helps you lay the groundwork you'll need to make this radical organizational change. First, learn how to identify your organization's culture. There are many different types of organizational cultures, and each one presents its own set of challenges. Then, see different approaches to making a widespread organizational change. Finally, learn about the common challenges that almost all organizations face when starting enterprise agile.Topics include: Establishing the groundwork Understanding the change Reviewing organizational culture Identifying your organizational culture Trying the Kotter approach Being fearless Evangelizing change Changing myths Focusing on culture Dealing with common challenges Apply for this course

By applying lean and agile principles, engineering teams can deliver better systems and better business outcomes—both of which are crucial to the success of DevOps. In this course, instructors Ernest Mueller and Karthik Gaekwad discuss the theories, techniques, and benefits of agile and lean. Learn how they can be applied to operations teams to create a more effective flow from development into operations and accelerate your path of "concept to cash." In addition to key concepts, you can hear in-the-trenches examples of implementing lean and agile in real-world software organizations. Apply for this course

Angular 2 can serve as the primary MVC framework for your application, or it can supplement a server-side solution like Laravel or ASP.NET. In this course, Derek Peruo guides you through the process of transforming your Angular 2 single-page application (SPA) into a widget-based application for use with server-side frameworks. Plus, he goes into single-page and widget-based architectures, as well as common patterns for communicating between your server-side and client-side frameworks. Topics include: Single-page applications and widget-based applications Creating a new Laravel project Moving Angular files into Laravel Migrating Angular routing and Angular modules Using global variables Adding stateless API routes Using basic REST requests Using route parameters in controllers Apply for this course

NativeScript is an open-source framework for building native iOS and Android apps. Web developers who are familiar with Angular 2 can get introduced to NativeScript in this course and learn how to develop an application for iOS and Android by leveraging the NativeScript framework with Angular 2. Join Alex Ziskind as he guides you from the initial installation of NativeScript through architecting an application. He explains how to declare the most common user interface widgets while styling them with CSS. Plus, he demonstrates how to set up the Faker library, and how to programmatically tap into the native navigation engine for iOS and Android. Topics include: Setting up the development environment Using the NativeScript CLI Using Angular with NativeScript Angular bootstrap Application architecture Components User interface NativeScript widgets Application lifecycle Data and event binding Navigation Apply for this course

All web applications use data, which can come from a server or be stored locally in the browser. In Managing Data in Angular 2 Applications, Derek Peruo guides you through the process of retrieving and saving data for your Angular applications, both in the browser and on a server. He also introduces tips and tricks for customizing data management as your application grows in size and complexity. Learn about the various storage options and when and where to use each type, and find out how to write custom services to manage the data for a fast-growing Angular app. Topics include: Overview of data storage options Saving and retrieving data from the browser Setting routes in the URL Using query strings and fragments instead of routes Saving and retrieving data from a server Working with user input Using JSONP instead of HTTP Why writing custom services is important Writing custom services for working with browsers and servers Apply for this course

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Implement namespaces, extend interfaces, create your first Trait, dive into object-oriented programming, and discover versatile scripting methods with this course. Web developer Justin Yost takes you into the advanced parts of the PHP server-side language, including abstract classes, iterators, generators, and password hashing. He provides an overview of each topic, takes you through how to code each item for the first time, and then shows you how to expand further. Learn how to establish consistency, solve problems, and prevent your applications from crashing by applying the techniques Justin shares in this course. Take your object-oriented programming beyond basic attributes and methods into using constructors, deconstructors, and singletons. Build nested exceptions, use type hints, and explore additional ways you can craft more flexible software using PHP. Topics include: Namespaces Standard interfaces Traits Constructors, deconstructors, and singletons Cloning objects Abstract classes Iterators Generators Password hashing and verification Type hints, strict type hints, and return types Advanced closures Nested exceptions and SPL exceptions Apply for this course

PHP 7 is the first major release of PHP in more than 11 years. This course by expert instructor Kevin Skoglund provides an overview of the new features, improvements, and changes in PHP 7. Learn about new tools to help write smarter code, and the key changes you need to watch for to ensure your existing PHP code works correctly after an upgrade. Topics include: Scalar type and return type declarations New operators in PHP 7 Anonymous classes Arrays as constants Catchable exceptions and errors Integer division with intdiv() Deprecations and deletions Apply for this course

The Java Persistence API (JPA) is the standard for mapping Java objects to relational databases. JPA provides several advantages over traditional data access methods like Java Database Connectivity (JDBC). In this practical course, Kesha Williams discusses these advantages and acquaints you with the basics of JPA, entity management, transaction management, and relationship mapping. Upon completing this course, you'll be equipped with a firm understanding of JPA and persisting data in Java enterprise applications. Topics include: What is persistence? JPA configuration and entities Benefits of JPA over pure JDBC Managing entities with the EntityManager API Creating, persisting, reading, updating, and deleting objects Managing transactions Advanced mapping techniques using annotations How to map relationships Apply for this course

If you want to build applications for mobile devices, desktop computers, or the web, you need to know Java. This course provides the foundation for learning Java SE (Standard Edition), so you can build your first apps or start exploring the language on your own. Author David Gassner shows how to install Java and the IntelliJ IDEA IDE, and start working with variables, data types, keywords, and other critical language components. He also helps you control program flow with conditional logic and loops, store data with the Java Collections Framework, and understand how Java implements object-oriented coding principles such as inheritance and polymorphism. Topics include: Understanding the history and principles of Java Installing Java, IntelliJ IDEA, and BlueJ Creating a Java project Working with variables, values, and expressions Working with object data types Building, comparing, and parsing strings Debugging and exception handling Creating loops and reusable code Passing arguments by reference or value Using simple and complex arrays Creating custom classes Understanding inheritance and polymorphism Managing files with Java libraries Documenting code with Javadoc Packaging classes in JAR files Apply for this course

Learn how to choose the right Java API for your application and get started coding with XML and Java. In this course, author David Gassner shows you how to read and create XML strings and files, decide whether to use a streaming or tree-based API, and find out which APIs are compatible with Android. Plus, discover how to use both standard APIs that are included with the Java SE and EE distributions, such as DOM, SAX, and JAXB, and learn about popular open-source libraries such as JDOM and the Simple XML Serialization framework. Topics include: Choosing a Java-based XML API Reading XML as a string Comparing streaming and tree-based APIs Parsing XML with SAX Creating and reading XML with DOM Adding data to an XML document with JDOM Reading and writing XML with StAX Working with JAXB and annotated classes Comparing Simple XML Serialization to JAXB Apply for this course

For large tech organizations, the path to agile adoption is hardly ever a smooth one. If you're aiming to implement agile at scale, then this course can help by letting you know which pitfalls you may encounter and providing techniques for successfully managing a transformation. Instructor Jez Humble dives into the key principles that are at the heart of high-performance program management. He also provides a case study that showcases an iterative and adaptive approach to running large programs and discusses the importance of continuous improvement. Apply for this course

Problem management is about preventing and resolving the problems underlying interruptions of IT services. A set of shared techniques can make the difference between success and failure. ITIL® mentions a set of techniques as best practice, but does not cover how to apply them. This course bridges the gap for IT pros, giving them a concise introduction to the seven problem management techniques endorsed by ITIL, including: Brainstorming Ishikawa diagrams Kepner-Tregoe root cause analysis Fault tree analysis Component failure impact analysis Service outage analysis Post-implementation and major problem review Apply for this course

This installment of the Putting ITIL® into Practice series helps ITIL® Foundation certified professionals get a practical start at applying DevOps concepts within their ITIL®-driven enterprise IT organizations as they move from traditional IT towards cloud and mobile on their journey of digital transformation. Throughout this course, instructor David Pultorak examines where DevOps and ITIL® Foundation concepts intersect in an enterprise setting. He begins by introducing DevOps for ITIL®-driven shops, including a discussion of what cloud-native DevOps and enterprise IT shops do and do not have in common. He then covers ideas on how to adapt DevOps values, principles, methods, practices, and tools to accommodate enterprise IT challenges; how to adapt each of the aspects of ITIL®-driven shops to accommodate DevOps values, principles, methods, practices, and tools. Topics include: What DevOps and enterprise DevOps have in common DevOps and enterprise IT challenges Enterprise-level change control and release gates DevOps values, principles, and methods ITIL®-driven shops and DevOps Reviewing the service lifecycle Strategy, design, operations, and CSI processes Technology and architecture Apply for this course