The following courses available on edX are taught by Microsoft experts and let you learn through hands-on experience with broad reach, cutting-edge technologies in areas including cloud services, mobile development, and data sciences. Whether you’re a student or a seasoned technologist, these courses can empower you to build innovative applications, services, and experiences on the Microsoft platform that will help you make a meaningful impact in today’s interconnected world.
These courses are the currently trending Microsoft courses according to edX. They can be audited for free or students can choose to receive a verified certificate for a small fee. Select a course to learn more.
edX - Introduction to Python: Absolute Beginner
Brand new to text-based programming? Check out this hands-on course for an in-depth look at the details of Python layers and concepts. Get ample practice drills and projects, using Jupyter Notebooks on Azure, which require only a browser and an Internet connection. Learn best practices and begin coding almost immediately.
edX - Introduction to Data Science
This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques.
edX - Introduction to Python for Data Science
In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.
edX - Introduction to R for Data Science
This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.
edX - Introduction to C++
By learning C++, you can create applications that will run on a wide variety of hardware platforms such as personal computers running Windows, Linux, UNIX, and Mac OS X, as well as small form factor hardware such as IoT devices like the Raspberry PI and Arduino–based boards.
edX - Learn to Program in Java
Ready to start your programming journey? Being a software engineer is much more than simply writing code—it requires a strong conceptual understanding of computer science. In this course, which was developed through a combination of academic and industry perspectives, learn not only how to code in Java but also how to break down problems and implement their solutions using some of the most fundamental computer science tools.
edX - Introduction to Artificial Intelligence (AI)
Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.
edX - Introduction to Data Analysis Using Excel
In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.
edX - Analyzing and Visualizing Data with Excel
Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.
edX - Analyzing and Visualizing Data with Power BI
In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You’ll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users—on the web and on mobile devices.
edX - Querying Data with Transact-SQL
Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.
edX - Introduction to C#
Learning C# can position you for future programming opportunities, provide a solid foundation in object-oriented programming knowledge, and pave the way for learning other programming languages. This course aims to teach you about the core aspects of the C# language.
edX - Microsoft Office Fundamentals: Outlook, Word, and Excel
In this training course, you will learn basic Word, Excel, and Outlook skills. You will learn how to create and manage Word documents, organize information in tables, perform calculations on data, create graphs and charts, organize your email Inbox, and manage email automatically.
edX - Introduction to Big Data
This is the first stop in the Big Data curriculum from Microsoft. It will help you get started with the curriculum, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with data and some fundamental concepts and technologies for Big Data scenarios.
edX - Principles of Machine Learning: Python Edition
In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.
These courses are the currently trending Microsoft courses according to edX. They can be audited for free or students can choose to receive a verified certificate for a small fee. Select a course to learn more.
edX - Introduction to Python: Absolute Beginner
Brand new to text-based programming? Check out this hands-on course for an in-depth look at the details of Python layers and concepts. Get ample practice drills and projects, using Jupyter Notebooks on Azure, which require only a browser and an Internet connection. Learn best practices and begin coding almost immediately.
edX - Introduction to Data Science
This is the first stop in the Data Science curriculum from Microsoft. It will help you get started with the program, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with and exploring data using a variety of visualization, analytical, and statistical techniques.
edX - Introduction to Python for Data Science
In this practical course, you will start from the very beginning, with basic arithmetic and variables, and learn how to handle data structures, such as Python lists, Numpy arrays, and Pandas DataFrames. Along the way, you’ll learn about Python functions and control flow. Plus, you’ll look at the world of data visualizations with Python and create your own stunning visualizations based on real data.
edX - Introduction to R for Data Science
This introduction to R programming course will help you master the basics of R. In seven sections, you will cover its basic syntax, making you ready to undertake your own first data analysis using R. Starting from variables and basic operations, you will eventually learn how to handle data structures such as vectors, matrices, data frames and lists. In the final section, you will dive deeper into the graphical capabilities of R, and create your own stunning data visualizations. No prior knowledge in programming or data science is required.
edX - Introduction to C++
By learning C++, you can create applications that will run on a wide variety of hardware platforms such as personal computers running Windows, Linux, UNIX, and Mac OS X, as well as small form factor hardware such as IoT devices like the Raspberry PI and Arduino–based boards.
edX - Learn to Program in Java
Ready to start your programming journey? Being a software engineer is much more than simply writing code—it requires a strong conceptual understanding of computer science. In this course, which was developed through a combination of academic and industry perspectives, learn not only how to code in Java but also how to break down problems and implement their solutions using some of the most fundamental computer science tools.
edX - Introduction to Artificial Intelligence (AI)
Artificial Intelligence will define the next generation of software solutions. This computer science course provides an overview of AI, and explains how it can be used to build smart apps that help organizations be more efficient and enrich people’s lives. It uses a mix of engaging lectures and hands-on activities to help you take your first steps in the exciting field of AI.
edX - Introduction to Data Analysis Using Excel
In this course, you will learn how to perform data analysis using Excel’s most popular features. You will learn how to create pivot tables from a range with rows and columns in Excel. You will see the power of Excel pivots in action and their ability to summarize data in flexible ways, enabling quick exploration of data and producing valuable insights from the accumulated data.
edX - Analyzing and Visualizing Data with Excel
Excel is one of the most widely used solutions for analyzing and visualizing data. It now includes tools that enable the analysis of more data, with improved visualizations and more sophisticated business logics. In this data science course, you will get an introduction to the latest versions of these new tools in Excel 2016 from an expert on the Excel Product Team at Microsoft.
edX - Analyzing and Visualizing Data with Power BI
In this data science course, you will learn from the Power BI product team at Microsoft with a series of short, lecture-based videos, complete with demos, quizzes, and hands-on labs. You’ll walk through Power BI, end to end, starting from how to connect to and import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Plus, learn to create dashboards and share with business users—on the web and on mobile devices.
edX - Querying Data with Transact-SQL
Transact-SQL is an essential skill for data professionals and developers working with SQL databases. With this combination of expert instruction, demonstrations, and practical labs, step from your first SELECT statement through to implementing transactional programmatic logic.
edX - Introduction to C#
Learning C# can position you for future programming opportunities, provide a solid foundation in object-oriented programming knowledge, and pave the way for learning other programming languages. This course aims to teach you about the core aspects of the C# language.
edX - Microsoft Office Fundamentals: Outlook, Word, and Excel
In this training course, you will learn basic Word, Excel, and Outlook skills. You will learn how to create and manage Word documents, organize information in tables, perform calculations on data, create graphs and charts, organize your email Inbox, and manage email automatically.
edX - Introduction to Big Data
This is the first stop in the Big Data curriculum from Microsoft. It will help you get started with the curriculum, plan your learning schedule, and connect with fellow students and teaching assistants. Along the way, you’ll get an introduction to working with data and some fundamental concepts and technologies for Big Data scenarios.
edX - Principles of Machine Learning: Python Edition
In this data science course, you will be given clear explanations of machine learning theory combined with practical scenarios and hands-on experience building, validating, and deploying machine learning models. You will learn how to build and derive insights from these models using Python, and Azure Notebooks.
