Free Online R Programming Courses & MOOCs

Coursera

Duke University

Inferential Statistics (Coursera)

Statistics & Data Analysis Data Science

Discover the power of Inferential Statistics with this engaging Coursera course. Designed for beginners and professionals alike, this program will equip you with essential skills to analyze and interpret data, perform hypothesis tests, and communicate your findings clearly. Dive into practical applications using R and RStudio, free statistical software, and apply these techniques to real-world datasets.

Sep 28th 2026

5-12 Weeks

Statistics Statistical Inference Inferential Statistics

Coursera

Erasmus University Rotterdam

Multilevel Modeling (Coursera)

Education

Get introduced to the fundamentals of multilevel modeling in this comprehensive course. Master two-level models, understand their application in 'continuous' response variables, and learn how to run basic two-level models using R. Ideal for PhD candidates seeking to analyze nested data effectively.

Sep 28th 2026

4 Weeks

Education Regression R Programming

Coursera

Northeastern University

Data Visualization with Python & R for Engineers (Coursera)

Statistics & Data Analysis Data Science

Discover the power of Data Visualization with Python & R for Engineers - a course designed to equip you with essential skills for transforming raw data into compelling stories. Whether you're working in engineering, healthcare operations, or manufacturing, this course will teach you how to use visualization tools and techniques to explore your data, discover knowledge, and make informed decisions.

Sep 28th 2026

4 Weeks

Python Data Mining Data Visualization

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.

Sep 21st 2026

5-12 Weeks

Statistics Interaction Design Designing Experiments

Coursera

Johns Hopkins University

Advanced Linear Models for Data Science 1: Least Squares (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of advanced linear modeling with our introductory course on Least Squares. Gain a solid foundation in linear algebra, multivariate calculus, statistics, and regression models as you learn how to apply least squares methods effectively in data science projects. This course is perfect for those looking to deepen their understanding of predictive analytics.

Sep 21st 2026

5-12 Weeks

Linear Algebra Linear Regression Data Science

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.

Sep 21st 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.

Sep 21st 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.

Sep 21st 2026

4 Weeks

Programming Object-Oriented Programming Data Science

Coursera

Johns Hopkins University

Building R Packages (Coursera)

Statistics & Data Analysis Data Science

Discover the art of organizing and distributing your R code with 'Building R Packages'. This course, offered by Coursera, will teach you how to maximize the usefulness and reusability of your data science software by adhering to community-based standards and providing a great user experience. Whether you're new to package development or looking to refine your skills, this course is designed for anyone who wants to share their R code effectively.

Sep 21st 2026

4 Weeks

Github Digital Tools Data Analysis