R Programming Courses and Certifications

R Programming - R Language for Absolute Beginners

3593 ratings at Udemy

R Programming course suitable for everyone, no coding experience or a statistics background needed

• Udemy
• 10 hours 40 minutes
• Self-Paced
• Paid Course

R Programming For Absolute Beginners

3213 ratings at Udemy

Learn the basics of writing code in R - your first step to become a data scientist

• Udemy
• 9 hours 33 minutes
• Self-Paced
• Paid Course

Career Certificate

Expressway to Data Science: R Programming and Tidyverse

56 ratings at Coursera

Learn to program in R with the tidyverse: import and tidy data, craft ggplot2 visualizations, combine data from multiple sources, and produce reproducible research.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses

Introduction to R Programming and Tidyverse

49 ratings at Coursera

Learn R from scratch: write functions, visualize data with ggplot2, wrangle it with dplyr verbs, and build reproducible reports in RMarkdown.

• Coursera
• 4 weeks, 6 hours a week
• Self-Paced
• Paid Course

CS50's Introduction to Programming with R

2 ratings

An introduction to programming using a language called R, a popular language for statistical computing and graphics in data science and other domains.

• edX
• 7 weeks, 6-12 hours a week
• Self-Paced
• Free Online Course (Audit)

Data Science: R Basics

12 ratings

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

• edX
• 8 weeks, 1-2 hours a week
• Self-Paced
• Free Online Course (Audit)

Data Science: R Programming Complete Diploma

1249 ratings at Udemy

Learn all the R skills you need to become a Professional and Certified R Programmer with this Complete Bootcamp

• Udemy
• 5 hours 7 minutes
• Self-Paced
• Paid Course

R Programming Fundamentals

55 ratings at edX

This course covers the basics of R: a free programming language and software environment used for statistical computing and graphics. R is widely used by data analysts, statisticians, and data scienti

• edX
• 6 weeks, 2-3 hours a week
• Self-Paced
• Free Online Course (Audit)

Packt

R Programming for Statistics and Data Science

15 ratings at Coursera

Learn R from RStudio setup through vectors, matrices, and data frames to dplyr manipulation, ggplot2 charts, exploratory analysis, hypothesis testing, and linear regression.

• Coursera
• 11 weeks, 1 hour a week
• Self-Paced
• Paid Course

R Programming Introduction (Live Online)

8 ratings at CourseHorse

Pick up the essential R tools for data analysis, even without a coding background.

• CourseHorse
• 13 hours
• Self-Paced
• $995.00

Packt

Foundations of R Programming and Basic Data Manipulation

Learn R in RStudio: work with data frames and lists, write loops and functions, scrape and import data, reshape and join datasets, and visualize with ggplot2.

• Coursera
• 7 weeks, 1 hour a week
• Self-Paced
• Paid Course

The R Programming Starter Course

Learn R fundamentals in Visual Studio Code: set up a workspace, work with variables, vectors, matrices and data frames, write functions, and apply conditionals and loops.

• Coursera
• 2 weeks, 5 hours a week
• Self-Paced
• Paid Course

R Programming Essentials with Microsoft Tools

Learn R from variables, vectors, loops, and functions to importing and tidying data, using Visual Studio Code, Git and GitHub, and GitHub Copilot on a final project.

• Coursera
• 5 weeks, 6 hours a week
• Self-Paced
• Paid Course

R Programming: Setup and Data Processing

Set up an R and RStudio development environment, write and test simple code, then process atomic data types like characters, numbers, and logicals plus vectors, factors, and data frames.

• Coursera
• 4 weeks, 3 hours a week
• Self-Paced
• Paid Course

Career Certificate

R Programming for Data Science

Learn R fundamentals — setup, data processing, conditionals, loops, functions, and packages — then use them to analyze data, run statistical tests, and build predictive models.

• Coursera
• 4 weeks, 10 hours a week
• Self-Paced
• Paid Course
• 3 courses