Introduction to R Programming

Overview

In this course, you’ll learn to represent and store data using R data types and variables, and use conditionals and loops to control the flow of your programs. You’ll harness the power of complex data structures like lists, sets, dictionaries, and tuples to store collections of related data. You’ll define and document your own custom functions, write scripts, and handle errors. You will also learn to use two powerful R libraries - Numpy, a scientific computing package, and Pandas, a data manipulation package.

Syllabus

Introduction to R

In this lesson, you will learn about why R is so popular for Data Analysis, learn how to set up R on your own machine, and see how you can use R directly within the classroom.

Syntax & Data Types

In this lesson, gain an understanding of how to interact with the R interpreter and the different data types available in R.

Control Flow & Functions

Learn some of the foundational programming concepts in R syntax. These concepts include control flow, loops, and functions.

Data Visualizations & EDA

In this lesson, you will get hands on with creating plots in R. This is where using R really shines, as you build amazing visualizations with only a few lines of code.