Learn the fundamentals of programming with R, from reading and writing data to customizing visualizations and performing predictive analysis. 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

Course Syllabus

Skip Syllabus DescriptionSection 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