The R Programming Environment
Instructor: Roger D. Peng, PhD , Brooke Anderson
Intermediate Level • 3 weeks at 10 hours a week • Flexible Schedule
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
Outcomes
- 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.