R Programming Courses and Certifications

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

Credential

Expressway to Data Science: R Programming and Tidyverse

56 ratings at Coursera

Master R programming and Tidyverse for data science: import, tidy, and visualize data using ggplot2. Develop skills for reproducible research and advanced data analysis techniques.

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

R Programming and Tidyverse Capstone Project

Reinforce R and tidyverse skills through hands-on COVID-19 data analysis. Import, clean, and visualize datasets to create a comprehensive report for your data science portfolio.

• Coursera
• 9 hours 41 minutes
• Self-Paced
• Paid Course

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

Packt

R Programming for Statistics and Data Science

15 ratings at Coursera

Master R programming for data analysis and visualization. Learn statistical techniques, hypothesis testing, and regression modeling to extract insights from real-world datasets and make data-driven decisions.

• Coursera
• 8 hours 51 minutes
• Self-Paced
• Paid Course

R Programming Introduction (Live Online)

8 ratings at CourseHorse

Discover the essential R tools you need to know for data analysis, even if you have no programming experience.

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

The R Programming Starter Course

Discover R programming fundamentals using Visual Studio Code, covering variables, data structures, functions, and control flow through hands-on labs and practical assignments.

• Coursera
• 10 hours 58 minutes
• Self-Paced
• Paid Course

R Programming Essentials with Microsoft Tools

Master R programming essentials using Microsoft tools like Visual Studio Code and GitHub Copilot, from basic concepts to real data handling, version control, and completing your first project.

• Coursera
• 1 day 4 hours
• Self-Paced
• Paid Course

Packt

Foundations of R Programming and Basic Data Manipulation

Master R programming and data manipulation essentials. Learn data types, structures, import/export, visualization, and advanced techniques. Gain practical skills through hands-on labs for effective data analysis and insights.

• Coursera
• 9 hours 37 minutes
• Self-Paced
• Paid Course

R Programming: Setup and Data Processing

Master R programming fundamentals from setup to data processing, covering atomic types, vectors, factors, and data frames for data science applications.

• Coursera
• 10 hours 25 minutes
• Self-Paced
• Paid Course

Credential

R Programming for Data Science

Master R programming fundamentals for data analysis, statistical modeling, and visualization to extract valuable insights and create predictive models in 4 weeks.

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

R Programming: Data Analysis and Modeling

Dive into R's data science capabilities with data manipulation, analysis, visualization using ggplot2, and statistical/machine learning modeling for predictions.

• Coursera
• 18 hours
• Self-Paced
• Paid Course

Computer Science 114: Programming in R

Learn R programming fundamentals, data processing, and transformation techniques through engaging lessons and expert instruction suitable for beginners and degree-seekers alike.

• Study.com
• 10 hours 56 minutes
• Self-Paced
• Paid Course

R Programming: Conditionals, Loops, Functions, and Packages

Master R programming fundamentals including conditionals, loops, functions, and packages to build efficient, reusable code in this 5.5-hour hands-on programming course.

• Coursera
• 5 hours 30 minutes
• Self-Paced
• Paid Course

R Programming 101

R Programming for Beginners - Complete Guide to Data Analysis and Visualization

Discover R programming fundamentals from installation to data visualization, cleaning, and manipulation using tidyverse and dplyr packages.

• YouTube
• 5 hours 53 minutes
• Self-Paced
• Free Video