CS50's Introduction to Programming with R

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
• On-Demand
• Free Online Course (Audit)

R Programming Fundamentals

25 ratings at edX

Stanford's 6-week course on R programming fundamentals, covering installation to basic statistical functions. Expect 2-3 hours of work per week.

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

Introducción a R

9 reviews

Learn practical data analysis with R language in a 4-week course by Universidad Anáhuac. Master data frames, visualization, and programming in R for better decision-making.

• edX
• 4 weeks, 5-8 hours a week
• On-Demand
• Free Online Course (Audit)

Microcredential

Mastering Software Development in R

Johns Hopkins University offers a 26-week course on R software development for data science. Learn to handle complex data, build R packages, and create custom data visualizations.

• Coursera
• 26 weeks, 4 hours a week
• On-Demand
• Paid Course
• 5 courses

Microcredential

Data Visualization & Dashboarding with R

Johns Hopkins University offers a 17-week course on data visualization using R, including creating static and interactive visuals and publishing them online.

• Coursera
• 17 weeks, 4 hours a week
• On-Demand
• Paid Course
• 5 courses

Getting Started with Data Visualization in R

246 ratings at Coursera

A 3-week course by Johns Hopkins University, teaching beginners how to use R for data visualization, data manipulation with tidyverse, and creating reports with R Markdown.

• Coursera
• 11 hours 44 minutes
• On-Demand
• Free Online Course (Audit)

Advanced Data Visualization with R

69 ratings at Coursera

Expand your data visualization skills with R in this 3-week course by Johns Hopkins University. Learn to create advanced figures, tables, and interactive reports using R and tidyverse.

• Coursera
• 10 hours 42 minutes
• On-Demand
• Free Online Course (Audit)

The Data Scientist’s Toolbox

166 reviews

Learn the essential tools and concepts used by data scientists to turn data into actionable knowledge. Offered by Johns Hopkins University.

• Coursera
• 18 hours 23 minutes
• On-Demand
• Free Online Course (Audit)

R Programming

245 reviews

Learn to program in R and use it for data analysis. Covers installation, configuration, programming concepts, and statistical data analysis. 4 weeks. Johns Hopkins University.

• Coursera
• 57 hours
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistics with R

Duke University's 30-week course on data analysis with R. Learn to analyze, visualize, and communicate statistical results, with a portfolio to demonstrate mastery.

• Coursera
• 30 weeks, 3 hours a week
• On-Demand
• Paid Course
• 5 courses

Microcredential

Expressway to Data Science: R Programming and Tidyverse

Learn R programming and tidyverse for data science in a 13-week course by the University of Colorado Boulder, requiring 4 hours of study per week.

• Coursera
• 13 weeks, 4 hours a week
• On-Demand
• Paid Course
• 3 courses

R Programming and Tidyverse Capstone Project

Sharpen your R programming and data analysis skills with this 3-week course by University of Colorado Boulder. Analyze real-world COVID-19 data, develop visualizations, and create a portfolio-worthy report.

• Coursera
• 9 hours 40 minutes
• On-Demand
• Free Online Course (Audit)

Microcredential

Statistical Analysis with R for Public Health

Imperial College London offers a 17-week course on statistical analysis in public health using R. Learn key concepts and analyze real-world health data. No prior knowledge required.

• Coursera
• 17 weeks, 3 hours a week
• On-Demand
• Paid Course
• 4 courses

R Programming A-Z™: R For Data Science With Real Exercises!

53110 ratings at Udemy

Learn Programming In R And R Studio. Data Analytics, Data Science, Statistical Analysis, Packages, Functions, GGPlot2

• Udemy
• 10 hours 37 minutes
• On-Demand
• Paid Course

RShiny for Everyone

Learn to create data-driven web applications using R Shiny in this 4-week course by Davidson College. Develop an interactive web application, expand your data analysis skills, and learn to deploy Shiny applications.

• edX
• 4 weeks, 3-5 hours a week
• On-Demand
• Free Online Course (Audit)