Microsoft Professional Program for Data Science

Microsoft consulted data scientists and the companies that employ them to identify the core skills they need to be successful. This informed the curriculum used to teach key functional and technical skills, combining highly rated online courses with hands-on labs, concluding in a final capstone project.

8 - 12

Technologies you will use to gain your skills

Microsoft Excel
Power BI
Azure Machine Learning

Track detail

Each course runs for three months and starts at the beginning of a quarter. January—March, April—June, July—September, and October —December. The capstone runs for four weeks at the beginning of each quarter: January, April, July, October. For exact dates for the current course run, please refer to the course detail page on

* Courses can be taken during any course run and in any order. When multiple course options are listed for a skill, only one must be completed to satisfy the requirements for graduation.

  • Introduction to Data Science

    Provided by Microsoft

    Get started on your data science journey, as you learn what it takes to become a Data Scientist. Learn to work with and explore data using a variety of visualization, analytical, and statistical techniques.

  • Querying Data with Transact-SQL

    Provided by Microsoft

    From querying and modifying data in SQL Server or Azure SQL to programming with Transact-SQL, learn essential skills that employers need.

  • Option 1
    Analyzing and Visualizing Data with Excel

    Provided by Microsoft

    Explore tools in Excel that enable the analysis of more data than ever before, with improved visualizations and more sophisticated business logic. Learn how to import data from different sources, create mashups between data sources, and prepare data for analysis.

  • Option 2
    Analyzing and Visualizing Data with Power BI

    Provided by Microsoft

    Learn how to connect and visualize your data with Microsoft Power BI. Find out how to import your data, author reports using Power BI Desktop, and publish those reports to the Power BI service. Create dashboards and share with business users on the web and on mobile devices.

  • Option 1
    Introduction to R for Data Science

    Provided by Microsoft

    Learn the R statistical programming language, the tool of choice for data science professionals. Discover its basic syntax, starting with variables and basic operations, and then learn how to handle data structures, such as vectors, matrices, data frames, and lists.

  • Option 2
    Introduction to Python for Data Science

    Provided by Microsoft

    Learn the basics of Python, including simple arithmetic operations, variables, and data structures. Explore Python functions and control flow, and create your own visualizations based on real data.

  • Data Science Essentials

    Provided by Microsoft

    Learn key concepts and techniques used to perform data science; including statistical analysis, data cleansing and transformation, and data visualization with R, Python, and Microsoft Azure Machine Learning.

  • Principles of Machine Learning

    Provided by Microsoft

    Learn how to build, evaluate, and optimize machine learning models; including classification, regression, clustering, and recommendation.

  • Option 1
    Programming with R for Data Science

    Provided by Microsoft

    Get up to speed with programming in R. Explore R data structures and syntaxes, see how to read and write data from a local file to a cloud-hosted database, work with data, get summaries, and transform them to fit your needs.

  • Option 2
    Programming with Python for Data Science

    Provided by Microsoft

    Learn to use Python to apply efficient, well-known mining models to unearth useful intelligence. Explore data visualization, feature importance and selection, dimensionality reduction, clustering, classification, and more.

  • Option 1

    Provided by Microsoft

  • Option 2
    Implementing Predictive Analytics with Spark in Azure HDInsight

    Provided by Microsoft

    Learn how to use Spark in Microsoft Azure HDInsight to create predictive analytics and machine learning solutions. Find out how to cleanse and transform data, build machine learning models, and create real-time machine learning solutions using Python, Scala, and R with Apache Spark.

  • Option 3
    Analyzing Big Data with Microsoft R

    Provided by Microsoft

    Learn how to use Microsoft R Server to analyze large datasets using R, one of the most powerful programming languages.

  • Microsoft Professional Capstone : Data Science

    Provided by Microsoft

    Showcase the knowledge and skills you've acquired during the Microsoft Professional Program for Data Science, and solve a real-world data science problem in this program capstone project. The project takes the form of a challenge in which you will explore a dataset and develop a machine learning solution that is tested and scored to determine your grade. Note: This course assumes you have completed the previous courses in the Microsoft Professional Program for Data Science.

Microsoft Professional Program Certificate in Data Science

Use the latest tools to solve real-world data problems

Each course in the Microsoft Professional Program for Data Science features hands-on labs so you can practice with the tools used by data scientists in the field today. Assessments that require more than just memorization ensure that you have mastered these new skills.

Learn on your own time

All courses are available online and on demand – so whether you plan to spend a couple of hours per day or a couple of hours per week, you can work on these skills at the pace that is right for you. And since the curriculum consists of massive open online courses (MOOC) on edX, you can watch the videos on your tablet or phone.

Frequently asked questions

Question What is the Microsoft Professional Program?


The Microsoft Professional Program (MPP) is a collection of courses that teach skills in several core technology tracks that help you excel in the industry's newest job roles.

These courses are created and taught by experts and feature quizzes, hands-on labs, and engaging communities. For each track you complete, you earn a certificate of completion from Microsoft proving that you mastered those skills.

Question Why should I consider participating?

The Microsoft Professional Program provides real-world skills and hands-on instruction that keeps pace with the technology industry. These courses can be rigorous but rewarding, with the flexibility to master skills at your own pace, and a robust capstone project that demonstrates your knowledge. Not to mention you get the important credentials employers want.

Question How do I sign up?

First, sign in to Next, explore the Microsoft Professional Program tracks, and enroll in the one that fits your career goals.