Free Online R Programming Courses & MOOCs

Coursera

Johns Hopkins University

Getting and Cleaning Data (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey to master the fundamentals of data acquisition and cleaning with 'Getting and Cleaning Data'. This course is designed for those new to data science or professionals looking to refine their skills in collecting and preparing data for analysis. From web scraping to database management, you'll learn how to obtain data from multiple sources and transform it into a clean, usable format.

Nov 2nd 2026

4 Weeks

Data Data Science Data Cleaning

Coursera

Johns Hopkins University

Reproducible Research (Coursera)

Statistics & Data Analysis Data Science

Explore the essential concepts and practical tools of Reproducible Research on Coursera. Master the art of publishing data analyses, ensuring others can verify findings and build upon them. Ideal for researchers, analysts, and anyone working with complex datasets.

Nov 2nd 2026

4 Weeks

Data Analysis Data Science Reproducible Research

Coursera

Johns Hopkins University

Developing Data Products (Coursera)

Statistics & Data Analysis Data Science

Discover how to transform raw data into valuable insights with Coursera's 'Developing Data Products' course. Designed for those who want to create automated analytical tools or enhance data-driven models, this course equips you with essential skills in utilizing Shiny, R packages, and interactive graphics to build impactful data products.

Nov 2nd 2026

4 Weeks

Statistics Data Products Statistical Analysis

Coursera

Johns Hopkins University

Practical Machine Learning (Coursera)

Statistics & Data Analysis Data Science

Discover the essential skills needed for data science with our Practical Machine Learning course. Designed for beginners, this course will guide you through the basics of creating and implementing prediction models, focusing on real-world application and avoiding common pitfalls like overfitting and error rates.

Nov 2nd 2026

4 Weeks

Algorithms Machine Learning Regression

Coursera

University of California, San Diego

Designing, Running, and Analyzing Experiments (Coursera)

CS: Design & Product

Discover the secrets of designing, running, and analyzing experiments to create effective user experiences. This course will guide you through real-world examples from UX, Interaction Design (IxD), and Human-Computer Interaction (HCI) fields, teaching you how to design user-centered experiments, execute them efficiently, and interpret data for validation purposes.

Nov 2nd 2026

5-12 Weeks

Statistics Interaction Design Designing Experiments

Coursera

Johns Hopkins University

Introduction to Neurohacking In R (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of neurohacking with our comprehensive Coursera course. Master the R programming language and its packages as you explore advanced techniques for analyzing neuroimaging data, specifically structural MRI. Gain expertise in correcting inhomogeneities, registering images, and visualizing results effectively.

Nov 2nd 2026

4 Weeks

Brain Neurology R Language

Coursera

University of Washington

Social Media Data Analytics (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of Social Media Data Analytics and unlock the power of social data for research, marketing, and business decisions. This course teaches you how to collect, process, and analyze data from platforms like Twitter, YouTube, and Flickr using API services and advanced analytical techniques.

Nov 2nd 2026

4 Weeks

Data Analysis Social Media Twitter

Coursera

Johns Hopkins University

The R Programming Environment (Coursera)

Statistics & Data Analysis Data Science

Discover the power of R programming with this introductory course designed for aspiring data scientists. Learn essential skills for analyzing data, developing software, and contributing to data science projects using R, the preferred language among professionals.

Nov 2nd 2026

4 Weeks

Programming Data Science R Language

Coursera

Johns Hopkins University

Advanced R Programming (Coursera)

Statistics & Data Analysis Data Science

Dive deep into the world of R programming with our Advanced R Programming course. Learn essential skills for developing sophisticated data science tools, including functional programming, error handling, object-oriented programming, profiling, benchmarking, debugging, and function design. Perfect for those looking to enhance their R expertise and create more efficient, reliable applications.

Nov 2nd 2026

4 Weeks

Programming Object-Oriented Programming Data Science