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Programming in R for Data Science (DAT209x)

About this course

In this computer science course from Microsoft, developed in collaboration with the Technical University of Denmark (DTU), get the knowledge and skills you need to use R, the statistical programming language for data scientists, in the field of your choice.

In this course you will learn all you need to 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. Plus, find out how to perform predictive analytics using R and how to create visualizations using the popular ggplot2 package.

What you'll learn

  • Explore R language fundamentals, including basic syntax, variables, and types
  • How to create functions and use control flow.
  • Details on reading and writing data in R
  • Work with data in R
  • Create and customize visualizations using ggplot2
  • Perform predictive analytics using R


Introduction to R for Data Science will help.

Course Syllabus

Section 1:Introduction
Section 2:Functions
Section 3:Control flow and Loops
Section 4:Working with Vectors and Matrices
Section 5:Reading in Data
Section 6:Writing Data
Section 7:Reading from SQL Server
Section 8:Working with Data
Section 9:Manipulating Data
Section 10: Simulation
Section 11:Linear model
Section 12:Graphics in R

Meet the instructors

Anders Stockmarr

Anders Stockmarr

Associate Professor
Technical University of Denmark

Anders is a statistician, and has been working with R and SPLUS in numerous projects within applied mathematics and statistics for two decades. He holds a PhD in Statistics and Probability from University of Copenhagen, and is currently an associate professor at the Technical University of Denmark.

Jonathan Sanito

Jonathan Sanito

Senior Content Developer

Jonathan works as a content developer and project manager for Microsoft focusing in Data and Analytics online training. He has worked with trainings for developer and IT pro audiences, from Microsoft Dynamics NAV to Windows Active Directory.

Before coming to Microsoft, Jonathan worked as a consultant for a Microsoft partner, implementing Microsoft Dynamics NAV solutions.

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  4. Estimated Effort

    Total 24 to 48 hours