Schedule

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)
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)
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)
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)
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)