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R Courses

Master R programming with premier online courses

A digital illustration of a man sitting at a computer screen taking an R programming course.

Elevate your R programming skills with online courses

Discover our curated selection of comprehensive R programming courses that can take you from a beginner to an advanced user. Unleash your full potential in R programming with our carefully crafted learning paths.

Please note that our partners – Coursera, DataCamp, and Udacity – offer many resources to make R programming accessible for all skill levels. When you click through our site to purchase products from our partners, we may earn a commission at no additional cost to you. This is what fuels our ability to keep delivering valuable content. Thank you.

Business Analytics
Data Analysis
Data Science
Data Visualization
Machine Learning
R Programming
Statistics
Tidyverse
Three data scientists looking at a laptop

Business analytics courses

1. Introduction to Business Analytics with R (University of Illinois via Coursera)

  • Description: This course equips learners with foundational data processing skills crucial for numerous business applications. It covers data processing, RStudio, and the efficient preparation of business data.
  • Level: Beginner
  • Duration: 16 hours
  • Price: $59 per month

2. Finance Fundamentals in R (DataCamp)

  • Description: This course provides learners with foundational knowledge of financial analysis using R. It covers basic concepts and essential techniques for financial data manipulation and analysis.
  • Level: Beginner
  • Duration: 28 hours
  • Price: $25 per month

3. Marketing Analytics with R (DataCamp)

  • Description: This course focuses on leveraging R for marketing analytics. It offers insights into analyzing marketing campaigns, customer segmentation, and predicting customer behavior using R programming.
  • Level: Beginner
  • Duration: 24 hours
  • Price: $25 per month

4. Quantitative Analyst with R Career Track (DataCamp)

  • Description: This course focuses on R programming for quantitative analysis. It provides learners with the skills to perform advanced statistical modeling and analysis in R.
  • Level: Beginner
  • Duration: 65 hours
  • Price: $25 per month

5. Applied Finance in R (DataCamp)

  • Description: This course explores the application of R in finance, covering topics such as financial modeling, risk management, and portfolio optimization using R programming.
  • Level: Intermediate
  • Duration: 26 hours
  • Price: $25 per month

6. Financial Risk Management with R (Duke University via Coursera)

  • Description: This course delves into the application of R for financial risk management, covering topics such as risk assessment, modeling, and mitigation using R programming.
  • Level: Intermediate
  • Duration: 14 hours
  • Price: $59 per month

Data analysis courses

1. Data Analysis with R (Udacity)

  • Description: This course provides hands-on experience with R for data analysis, focusing on data exploration, visualization, and statistical modeling techniques.
  • Level: Beginner
  • Duration: 23 hours
  • Price: Free

2. Data Analysis with R (Duke University via Coursera)

  • Description: This course offers an overview of data analysis using R, covering key concepts in data manipulation, data visualization, and statistical analysis.
  • Level: Beginner
  • Duration: 4 months
  • Price: $59 per month

3. Data Analyst Certification Program (DataCamp)

  • Description: This course provides a comprehensive foundation in data analysis techniques and tools, covering data manipulation, data visualization, and statistical analysis using R.
  • Level: Beginner
  • Duration: 1 month
  • Price: $25 per month

4. Data Analysis in R with RStudio & Tidyverse (Codio via Coursera)

  • Description: This course focuses on data analysis using R and RStudio, leveraging the tidyverse package for efficient data manipulation and visualization.
  • Level: Beginner
  • Duration: 9 hours
  • Price: $59 per month

5. Data Analysis with Tidyverse (University of Colorado via Coursera)

  • Description: This course provides an introduction to programming in R tailored for data analysts, offering foundational knowledge of using the tidyverse package for various types of analyses.
  • Level: Beginner
  • Duration: 17 hours
  • Price: $59 per month

6. Data Analytics with Excel and R (IBM via Coursera)

  • Description: This course provides an overview of data analytics using Excel and R, covering data visualization, statistical analysis, and practical use cases.
  • Level: Beginner
  • Duration: 3 months
  • Price: $59 per month

7. Data Analytics in the Public Sector with R (University of Michigan via Coursera)

  • Description: This course focuses on applying data analytics in the public sector, covering data-driven decision-making, policy analysis, and program evaluation using R.
  • Level: Intermediate
  • Duration: 2 months
  • Price: $59 per month

Data science courses

1. Expressway to Data Science: R Programming and Tidyverse (University of Colorado via Coursera)

  • Description: This course offers a comprehensive overview of R programming and the tidyverse package for data science. It covers multiple lessons designed to help you master the fundamentals of transforming and visualizing data for real-world applications.
  • Level: Beginner
  • Duration: 1 month
  • Price: $59 per month

2. Data Science: Foundations Using R (Johns Hopkins University via Coursera)

  • Description: This course introduces key concepts in data science using R, covering data manipulation, visualization, and exploratory data analysis techniques.
  • Level: Beginner
  • Duration: 4 months
  • Price: $59 per month

3. Data Scientist Certification Program (DataCamp)

  • Description: This course provides a comprehensive introduction to the role of a data scientist, covering data analysis, machine learning, and storytelling with data.
  • Level: Beginner
  • Duration: 1 month
  • Price: $25 per month

4. Data Scientist with R Career Track (DataCamp)

  • Description: This course extends the data scientist’s skill set with a focus on applying R for advanced data analysis, machine learning, and predictive modeling.
  • Level: Beginner
  • Duration: 88 hours
  • Price: $25 per month

5. Applied Data Science with R (IBM via Coursera)

  • Description: This course equips learners with job-ready data science skills using R programming, covering data preparation, statistical analysis, and visualization. Participants also develop the ability to query, analyze, and visualize data with R.
  • Level: Beginner
  • Duration: 2 months
  • Price: $59 per month

6. Data Scientist Professional with R Career Track (DataCamp)

  • Description: This course encompasses advanced R-based skills for data science, including machine learning, data visualization, and big data techniques.
  • Level: Beginner
  • Duration: 107 hours
  • Price: $25 per month

Data visualization courses

1. Getting Started with Data Visualization in R (Johns Hopkins University via Coursera)

  • Description: This course provides learners with foundational knowledge and hands-on experience in data visualization using R, emphasizing clear and impactful visual communication of data insights.
  • Level: Beginner
  • Duration: 11 hours
  • Price: $59 per month

2. Data Visualization with R Skills Track (DataCamp)

  • Description: This course focuses on leveraging R for data visualization, teaching learners how to create meaningful charts and other visualizations.
  • Level: Beginner
  • Duration: 12 hours
  • Price: $25 per month

3. Visualizing Data in the Tidyverse (Johns Hopkins University via Coursera)

  • Description: This course explores advanced data visualization techniques using the tidyverse package in R, enabling learners to create impactful and insightful visual representations of data.
  • Level: Beginner
  • Duration: 16 hours
  • Price: $59 per month

4. Data Visualization & Dashboarding with R (Johns Hopkins University via Coursera)

  • Description: This course offers an in-depth exploration of data visualization and dashboard creation using R. It covers best practices for effective communication of data results.
  • Level: Beginner
  • Duration: 2 months
  • Price: $59 per month

5. Interactive Data Visualization in R (DataCamp)

  • Description: This course covers the creation of dynamic and engaging data visualization techniques using R.
  • Level: Intermediate
  • Duration: 16 hours
  • Price: $25 per month

6. Visualizing Data & Communicating Results in R with RStudio (Codio via Coursera)

  • Description: This course focuses on using RStudio for visualizing data and effectively communicating analytical results.
  • Level: Intermediate
  • Duration: 9 hours
  • Price: $59 per month

7. Publishing Visualizations in R with Shiny and Flexdashboard (Johns Hopkins University via Coursera)

  • Description: This course provides learners with the skills to publish interactive data visualizations using the shiny package and the flexdashboard package in R, enabling them to create and share dynamic dashboards for data analysis.
  • Level: Intermediate
  • Duration: 11 hours
  • Price: $59 per month

Machine learning courses

1. Machine Learning Fundamentals (DataCamp)

  • Description: This course provides a foundational understanding of machine learning concepts and techniques using R.
  • Level: Beginner
  • Duration: 24 hours
  • Price: $25 per month

2. Machine Learning Specialist with R Career Track (DataCamp)

  • Description: This course focuses on machine learning techniques using R, covering supervised and unsupervised learning, model evaluation, and practical applications of machine learning.
  • Level: Beginner
  • Duration: 65 hours
  • Price: $25 per month

3. Supervised Machine Learning in R Skills Track (DataCamp)

  • Description: This course delves into supervised machine learning techniques using R, helping learners gain skills in building and evaluating predictive models for various applications.
  • Level: Intermediate
  • Duration: 25 hours
  • Price: $25 per month

4. Machine Learning Algorithms with R in Business Analytics (University of Illinois via Coursera)

  • Description: This course focuses on applying machine learning algorithms in a business setting. It covers predictive modeling, classification, and clustering techniques using various R packages.
  • Level: Intermediate
  • Duration: 14 hours
  • Price: $59 per month

R programming courses

1. Introduction to R Programming (Udacity)

  • Description: This course provides an introduction to R programming, covering fundamental concepts and practical skills needed for data analysis and visualization.
  • Level: Beginner
  • Duration: 1 month
  • Price: $249 per month

2. Programming for Data Science with R (Udacity)

  • Description: This course delves into essential programming skills for data science using R. It helps learners gain proficiency in data manipulation, analysis, and visualization through practical applications.
  • Level: Beginner
  • Duration: 2 months
  • Price: $249 per month

3. R Programming Skills Track (DataCamp)

  • Description: This course provides a comprehensive introduction to R programming, covering fundamental concepts, data structures, and practical coding skills in R.
  • Level: Beginner
  • Duration: 22 hours
  • Price: $25 per month

4. R Developer Career Track (DataCamp)

  • Description: This course equips learners with advanced skills in R programming for software development, covering package development, debugging, and best practices for R coding.
  • Level: Beginner
  • Duration: 52 hours
  • Price: $25 per month

5. Mastering Software Development in R (Johns Hopkins University via Coursera)

  • Description: This course offers rigorous training in the R language, focusing on complex data handling, building R packages, and developing custom visualizations.
  • Level: Beginner
  • Duration: 2 months
  • Price: $59 per month

6. Building R Packages (Johns Hopkins University via Coursera)

  • Description: This course provides learners with the skills to design and distribute R packages, enabling them to create custom tools for data science applications using R.
  • Level: Intermediate
  • Duration: 20 hours
  • Price: $59 per month

7. Advanced R Programming (Johns Hopkins University via Coursera)

  • Description: This course covers advanced topics in R programming necessary for developing powerful, robust, and reusable data science tools, enhancing learners’ proficiency in R programming.
  • Level: Advanced
  • Duration: 18 hours
  • Price: $59 per month

Statistics courses

1. Statistics Fundamentals with R (DataCamp)

  • Description: This course provides foundational knowledge of statistics using R, covering key concepts and practical applications of statistical analysis.
  • Level: Beginner
  • Duration: 20 hours
  • Price: $25 per month

2. Introduction to Probability and Data with R (Duke University via Coursera)

  • Description: This course introduces learners to probability theory and its applications in data analysis using R.
  • Level: Beginner
  • Duration: 14 hours
  • Price: $59 per month

3. Statistician with R Career Track (DataCamp)

  • Description: This course focuses on advanced statistical analysis using R, covering techniques for data modeling, hypothesis testing, and statistical inference.
  • Level: Beginner
  • Duration: 52 hours
  • Price: $25 per month

4. Statistical Analysis with R for Public Health (Imperial College London via Coursera)

  • Description: This course offers an in-depth exploration of statistical analysis using R within the context of public health. It provides comprehensive training in statistical methods for public health research.
  • Level: Beginner
  • Duration: 1 month
  • Price: $59 per month

5. Statistical Inference with R Skills Track (DataCamp)

  • Description: This course explores statistical inference concepts and techniques using R, helping learners gain skills in drawing conclusions from data and making predictions based on statistical models.
  • Level: Intermediate
  • Duration: 16 hours
  • Price: $25 per month

6. Modern Regression Analysis in R (University of Colorado via Coursera)

  • Description: This course focuses on modern regression analysis techniques using R, covering advanced regression models and their applications in data analysis and prediction.
  • Level: Intermediate
  • Duration: 45 hours
  • Price: $59 per month

Tidyverse courses

1. Introduction to R Programming and Tidyverse (University of Colorado via Coursera)

  • Description: This course offers a gentle introduction to programming in R tailored for data analysis, encompassing foundational knowledge of using the tidyverse package for efficient data manipulation and visualization.
  • Level: Beginner
  • Duration: 23 hours
  • Price: $59 per month

2. Introduction to the Tidyverse (Johns Hopkins University via Coursera)

  • Description: This course provides a gentle introduction to the tidyverse package in R, offering foundational knowledge and practical skills for efficient data wrangling and visualization.
  • Level: Beginner
  • Duration: 7 hours
  • Price: $59 per month

3. Tidyverse Fundamentals (DataCamp)

  • Description: This course explores the tidyverse package’s core functions and best practices for data manipulation and visualization using R.
  • Level: Beginner
  • Duration: 20 hours
  • Price: $25 per month

4. Tidyverse Skills for Data Science in R (Johns Hopkins University via Coursera)

  • Description: This course provides a comprehensive exploration of the tidyverse package within the context of data science. It is designed to equip learners with essential knowledge for effective data manipulation and visualization in R.
  • Level: Beginner
  • Duration: 2 months
  • Price: $59 per month

5. Intermediate Tidyverse Toolbox (DataCamp)

  • Description: This course covers intermediate-level skills in using the tidyverse package for efficient data manipulation, preparing learners to tackle more complex data wrangling tasks in R.
  • Level: Intermediate
  • Duration: 17 hours
  • Price: $25 per month

6. R Programming and Tidyverse Capstone Project (University of Colorado via Coursera)

  • Description: This course allows learners to apply their R programming and tidyverse skills to solve real-world data analysis challenges, showcasing their proficiency in R and the tidyverse package.
  • Level: Intermediate
  • Duration: 9 hours
  • Price: $59 per month