Free Online R Programming Courses & MOOCs

Coursera

Sungkyunkwan University - SKKU

Machine Learning for Smart Beta (Coursera)

Economics & Finance Business

Dive into the world of Smart Beta investing with our 4-week course designed to equip you with a deep understanding of both passive and active investment strategies. Explore the intricacies of Smart Beta products, learn their creation mechanisms, and get practical experience by recreating various Smart Beta models using R programming. This course is perfect for finance enthusiasts, investors, and data scientists looking to enhance their knowledge in alternative investment strategies.

Sep 21st 2026

4 Weeks

Machine Learning Regression Classification

Coursera

Johns Hopkins University

The Data Scientist's Toolbox (Coursera)

Statistics & Data Analysis Data Science

Embark on a journey into the world of data science with 'The Data Scientist's Toolbox'. This introductory course equips you with fundamental tools and ideas that are pivotal for any aspiring data analyst or scientist. Dive into understanding how data is transformed into knowledge, and get hands-on experience with version control, markdown, git, GitHub, R, and RStudio.

Sep 14th 2026

4 Weeks

Data Github Data Analysis

Coursera

Johns Hopkins University

R Programming (Coursera)

Statistics & Data Analysis Data Science

Discover the fundamentals of R Programming with this beginner-friendly course designed by experts at Coursera. Whether you're new to coding or looking to enhance your data analysis skills, this course will guide you through installing and configuring essential software, while introducing key programming concepts tailored for statistical applications. Learn how to harness the full potential of R for data manipulation, visualization, and analysis.

Sep 14th 2026

4 Weeks

Programming Debugging Data Analysis

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.

Sep 14th 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.

Sep 14th 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.

Sep 14th 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.

Sep 14th 2026

4 Weeks

Algorithms Machine Learning Regression

Coursera

McMaster University

Experimentation for Improvement (Coursera)

Statistics & Data Analysis Data Science

Dive into 'Experimentation for Improvement' - a transformative course designed to equip you with the tools needed to optimize systems and processes efficiently. By focusing on planning effective experiments that test multiple variables simultaneously, this course aims to help you find the best solutions with minimal effort. Whether you're looking to innovate in your professional life or seeking to enhance community projects, this course will guide you through the process of optimization.

Sep 14th 2026

5-12 Weeks

Statistics Data Science Regression Models

Coursera

Johns Hopkins University

Statistics for Genomic Data Science (Coursera)

Statistics & Data Analysis Data Science

Dive into the world of genomics with 'Statistics for Genomic Data Science'. This course, part of Johns Hopkins University's Genomic Big Data Science Specialization, offers an in-depth exploration of the statistical principles that underpin genomic data analysis. Whether you're a budding bioinformatician or looking to enhance your understanding of genetic data science, this course provides essential knowledge and practical skills.

Sep 14th 2026

4 Weeks

Statistics Biostatistics Data Analysis