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Intermediate Tidyverse Toolbox

Take your tidyverse skills to the next level. This track covers getting your data in the right condition to start your analyses, writing better code with functional programming, and generating, exploring, and evaluating machine learning models. And you'll do all of this in the wonderful and clean world of the tidyverse.

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1
R
Dealing With Missing Data in R

Make it easy to visualize, explore, and impute missing data with naniar, a tidyverse friendly approach to missing data.

4 hours

2
R
Foundations of Functional Programming with purrr

Learn to easily summarize and manipulate lists using the purrr package.

4 hours

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Course Instructor

3
R
Intermediate Functional Programming with purrr

Continue learning with purrr to create robust, clean, and easy to maintain iterative code.

4 hours

Colin FAY Headshot

Colin FAY

Data Scientist & R Hacker

4
R
Machine Learning in the Tidyverse

Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.

5 hours

Dmitriy Gorenshteyn Headshot

Dmitriy Gorenshteyn

Lead Data Scientist at Memorial Sloan Kettering Cancer Center

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