R Programming Courses and Certifications

Hierarchical and Structured Data Formats in R

Dive into JSON, XML, and scientific data storage formats in R, learning to parse, construct, and manage complex structured datasets essential for data-driven applications.

• CodeSignal
• 1 hour
• Self-Paced
• Free Certificate

Supervised Machine Learning

This practical course is designed for individuals who utilise data to make informed decisions and wish to enhance their decision-making skills.

• OpenLearning
• 20 hours
• Self-Paced
• Paid Course

Career Certificate

Statistical Analysis with R for Public Health

2086 ratings at Coursera

Learn statistical analysis with R for public health applications. Covers key concepts, data analysis techniques, and hands-on practice using real-world health datasets to address major public health challenges.

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

Career Certificate

Data Visualization & Dashboarding with R

454 ratings at Coursera

Develop expertise in creating static and interactive data visualizations using R, from basic plots to advanced techniques, and learn to publish them on the web for various audiences.

• Coursera
• 8 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 5 courses

Introduction to R (Live Online)

2637 ratings at CourseHorse

Master data wrangling fundamentals in R to transform, analyze, and visualize datasets for business insights. Learn essential syntax, manipulation techniques, and SQL-like queries for solving real-world data problems.

• CourseHorse
• 3 hours
• Self-Paced
• $75.00

The R Programming Environment

1169 ratings at Coursera

Rigorous introduction to R for data science, covering language fundamentals, tidyverse tools, data manipulation, text processing, and handling large datasets.

• Coursera
• 1 day 3 hours 29 minutes
• Self-Paced
• Paid Course

Getting Started with Data Visualization in R

311 ratings at Coursera

Learn to create impactful data visualizations using R and tidyverse. Import data, manipulate it effectively, and produce simple reports with R Markdown. Ideal for beginners seeking practical skills in data visualization.

• Coursera
• 11 hours 44 minutes
• Self-Paced
• Paid Course

Parallel Programming in R

Unlock the power of parallel computing in R. Enhance your data analysis skills, speed up computations, and process large datasets effortlessly.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Career Certificate

Data Science

9 ratings

Master the complete data science pipeline: from asking questions to publishing results. Gain practical skills in data manipulation, visualization, and analysis through hands-on projects using real-world data.

• Coursera
• 28 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 11 courses

Advanced Data Visualization with R

81 ratings at Coursera

Expand your R data visualization skills with advanced ggplot2 techniques, spatial data mapping, and interactive/animated figures using Plotly and gganimate. Master cutting-edge visualization methods for impactful data presentation.

• Coursera
• 10 hours 32 minutes
• Self-Paced
• Paid Course

Data Modeling and Prediction with R

Master linear and logistic regression in R to build predictive models, interpret relationships, and quantify uncertainty for data-driven decision making.

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

Career Certificate

Data Analysis with R

Comprehensive R-based data analysis program covering probability, inference, regression, and Bayesian statistics. Develop practical skills for data visualization, wrangling, and reproducible reporting.

• Coursera
• 30 weeks, 3 hours a week
• Self-Paced
• Paid Course
• 5 courses

Career Certificate

Data Science with R

Master data science fundamentals using R programming - from data visualization and transformation to ethical analysis. Learn essential tools like Tidyverse, RStudio, and Git while working with real-world datasets.

• Coursera
• Self-Paced
• Paid Course
• 3 courses

Advanced R Programming

576 ratings at Coursera

Develop powerful, robust data science tools with advanced R programming, covering functional programming, error handling, OOP, profiling, debugging, and function design for reusable analysis tasks.

• Coursera
• 18 hours 6 minutes
• Self-Paced
• Paid Course

Coursera

Getting Started with R

387 ratings at Coursera

Learn R basics, data types, structures, and importing datasets using RStudio. Ideal for beginners taking first steps in R programming for data analysis.

• Coursera
• 2 hours 35 minutes
• Self-Paced
• Paid Course