Schedule

Day 1

When	What
09:00-09:30	Preliminaries
09:30-10:15	Introduction to R and RStudio
10:15-10:30	Break ☕
10:30-12:00	Data Visualization with ggplot2
12:00-01:30	Lunch 🍱
01:30-02:30	Data Manipulation with dplyr
02:30-02:45	Break 🍵
02:45-03:30	Data Manipulation with dplyr
03:30-04:30	Office Hours (sign-up required)

Day 2

When	What
09:00-10:15	Data Types
10:15-10:30	Break ☕
10:30-12:00	Import Data with readr
12:00-01:30	Lunch 🍕
01:30-02:30	Tidy Data with tidyr
02:30-02:45	Break 🍵
02:45-03:30	Tidy Data with tidyr
03:30-04:30	Office Hours (sign-up required)

Day 3

When	What
09:00-10:00	Case Study
10:00-10:15	Break ☕
10:15-12:00	Prediction with parsnip
12:00-01:30	Lunch 🌯
01:30-02:30	Classification with parsnip
02:30-02:45	Break 🍵
02:45-03:30	Classification with parsnip
03:30-04:30	Office Hours (sign-up required)

Day 4

When	What
09:00-10:15	Resampling with rsample
10:15-10:30	Break ☕
10:30-12:00	Ensembling with parsnip
12:00-01:30	Lunch 🥗
01:30-02:30	Ensembling with parsnip
02:30-02:45	Break 🍵
02:45-03:30	Modeling Pipelines with workflows
03:30-04:30	Office Hours (sign-up required)

Day 5

When	What
09:00-10:00	Feature Engineering with recipes
10:00-10:15	Break ☕
10:15-12:00	Model Tuning with tune
12:00-01:30	Lunch 🍔
01:30-02:30	Case Study
02:30-02:45	Break 🍵
02:45-03:30	Getting Help with reprex
03:30-04:30	Office Hours (sign-up required)