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.

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  • R
  • 20 hours
  • 5 courses
1
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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
Photo of David Robinson
David Robinson

Chief Data Scientist, DataCamp

3
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Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hours
Photo of Albert Y. Kim
Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith College

Instructors

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David Robinson

Chief Data Scientist, DataCamp

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Alison Hill

Professor and Data Scientist

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Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith College

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