- 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.
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Overview
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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.
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.
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.
Taught by
Barton Poulson, Mark Niemann-Ross, Mike Chapple, Barton Poulson, Curtis Frye, Mark Niemann-Ross, Ben Sullins, Conrad Carlberg and Conrad Carlberg