Please be advised that LinkedIn Learning will retire this learning path on September 28, 2026. In order to receive a certificate of completion, you must complete all courses in the path before that date.

Learn one of the most used data-science-specific languages: R! This learning path provides a strong foundation of skills and knowledge on which to build your coding resume.

Learn how R works, from the foundational concepts on up.
Practice using R with Excel and Tableau.
Explore the applied use of R in social network analysis.

Syllabus

Courses under this program:
Course 1: Complete Guide to R: Wrangling, Visualizing, and Modeling Data
-Taking your R coding skills to the next level by wrangling, visualizing, and modeling data.

Course 2: Data Wrangling in R
-Learn about the principles of tidy data and discover how to import, transform, clean, and wrangle data using the R programming language.

Course 3: R for Data Science: Analysis and Visualization
-Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.

Course 4: R Code Challenges: Data Science
-Test your knowledge of R programming in this Code Challenges course.

Courses

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Learn how to choose and install a version of R-base R, tidyverse R, R Open, or Bioconductor R-and install useful R packages.
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Discover how to combine Tableau and R to provide your business with the ability to see and understand your data. Learn how to integrate these platforms and when to use either one.
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Update your data science skills by learning R. Learn how data analysis and statistics operations are run in Excel versus R and how to move data back and forth between each program.
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Examine the relationships and trends among social networks in new and exciting ways. Learn how to perform social network analysis with R.
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Practice coding with R. Explore common R programming challenges, and then compare the results with other programming languages in the Code Clinic series.
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Learn about the principles of tidy data and discover how to import, transform, clean, and wrangle data using the R programming language.
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Learn the basics of R, the free, open-source language for data science. Discover how to use R and RStudio for beginner-level data modeling, visualization, and statistical analysis.
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Learn how to perform logistic regression using R and Excel and use Power BI to integrate these methods into a scalable, sharable model.
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Learn how to wrangle data and create meaningful visualizations with R, the programming language powering modern data science.