The R Programming Environment

Intermediate Level
3 weeks at 10 hours a week
Flexible Schedule

Roger D. Peng, PhD , Brooke Anderson

Skills You’ll Gain

Debugging Data Science Tidyverse (R Package) Data Manipulation Data Transformation Performance Tuning Programming Principles Text Mining R Programming Data Import/Export Application Programming Interface (API) Data Cleansing Data Structures Web Scraping Big Data

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile.

Develop Your Specialized Knowledge

Learn new concepts from industry experts

Gain a foundational understanding of a subject or tool

Develop job-relevant skills with hands-on projects

Earn a shareable career certificate

There are 7 modules in this course

In this module, you'll learn the basics of R, including syntax, some tidy data principles and processes, and how to read data into R.

During this module, you'll learn to summarize, filter, merge, and otherwise manipulate data in R, including working through the challenges of dates and times.

During this module, you'll learn to use R tools and packages to deal with text and regular expressions. You'll also learn how to manage and get the most from your computer's physical memory when working in R.

Choice 1: Get credit while using swirl | Choice 2: Get credit by providing a code from swirl

In this final module, you'll learn how to overcome the challenges of working with large datasets both in memory and out as well as how to diagnose problems and find help.