Skill Track

Tidyverse Fundamentals with R

Experience the whole data science pipeline from importing and tidying data to wrangling and visualizing data to modeling and communicating with data. Gain exposure to each component of this pipeline from a variety of different perspectives in this tidyverse R track.

  • R
  • 20 hours
  • 5 courses
1
R Icon

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collecti…

4 hours
David Robinson

Chief Data Scientist, DataCamp

3
R Icon

Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hours
Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith College

Instructors

David Robinson

Chief Data Scientist, DataCamp

Alison Hill

Professor and Data Scientist

Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith College

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