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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Tidyverse fundamentals 2x

R Language
20 hours
5 Courses

1

Introduction to the Tidyverse

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

4 hours Play preview

David Robinson

Chief Data Scientist, DataCamp
2

Working with Data in the Tidyverse

Learn to work with data using tools from the tidyverse, and master the important skills of taming and tidying your data.

4 hours Play preview

Alison Hill

Professor and Data Scientist
3

Modeling with Data in the Tidyverse

Explore Linear Regression in a tidy framework.

4 hours Play preview

Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith Co...
4

Communicating with Data in the Tidyverse

Leverage the power of tidyverse tools to create publication-quality graphics and custom-styled reports that communica...

4 hours

Timo Grossenbacher

Data Journalist at SRF Data
5

Categorical Data in the Tidyverse

Get ready to categorize! In this course, you will work with non-numerical data, such as job titles or survey respons...

4 hours Play preview

Emily Robinson

Data Scientist at DataCamp
Statement of accomplishment

See all 5 courses

David Robinson

Chief Data Scientist, DataCamp

Alison Hill

Professor and Data Scientist

Albert Y. Kim

Assistant Professor of Statistical & Data Sciences at Smith College

Timo Grossenbacher

Data Journalist at SRF Data

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