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Elke van Daal has completed

Tidyverse Fundamentals

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20hrs
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Loved by learners at thousands of companies

1
Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hr

David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

2
Reshaping Data with tidyr

Transform almost any dataset into a tidy format to make analysis easier.

4 hr

Jeroen Boeye Headshot

Jeroen Boeye

Machine Learning Engineer @ Faktion

3
Analyze the Popularity of Programming Languages

Analyze the popularity of programming languages over time based on Stack Overflow data.

2 hr

David Robinson Headshot

David Robinson

Principal Data Scientist at Heap

4
Modeling with Data in the Tidyverse

Discover different types in data modeling, including for prediction, and learn how to conduct linear regression and model assessment measures in the Tidyverse.

4 hr

Albert Y. Kim Headshot

Albert Y. Kim

Associate Professor of Statistical & Data Sciences, Smith College

5
Communicating with Data in the Tidyverse

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

4 hr

Timo Grossenbacher Headshot

Timo Grossenbacher

Head of Newsroom Automation at Tamedia

6
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 responses, using the Tidyverse landscape.

4 hr

Emily Robinson Headshot

Emily Robinson

Senior Data Scientist, Game Data Pros

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Instructors

  • David Robinson Headshot
    David RobinsonPrincipal Data Scientist at Heap
  • Jeroen Boeye Headshot
    Jeroen BoeyeMachine Learning Engineer @ Faktion
  • Sara Billen Headshot
    Sara BillenData Scientist at DataCamp
  • Albert Y. Kim Headshot
    Albert Y. KimAssociate Professor of Statistical & Data Sciences, Smith College

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