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.
Overview
Syllabus
- 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.
- Foundations of Functional Programming with purrr
- Learn to easily summarize and manipulate lists using the purrr package.
- Intermediate Functional Programming with purrr
- Continue learning with purrr to create robust, clean, and easy to maintain iterative code.
- Machine Learning in the Tidyverse
- Leverage tidyr and purrr packages in the tidyverse to generate, explore, and evaluate machine learning models.
Taught by
DataCamp Content Creator, Colin FAY, and Dmitriy Gorenshteyn
