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Hi!

Welcome

Tidy Data Science with the Tidyverse and Tidymodels

W. Jake Thompson

https://tidyds-2021.wjakethompson.com · https://bit.ly/tidyds-2021

Tidy Data Science with the Tidyverse and Tidymodels is licensed under a Creative Commons Attribution 4.0 International License.

Workshop content is based on the prior work of:

First Half:

How to work with data in R

First Half:

How to work with data in R

Second Half:

How to learn from data in R

First Half:

How to work with data in R

Visualize

Transform

Tidy

First Half:

How to work with data in R

Visualize

Transform

Tidy

Second Half:

How to learn from data in R

Predicting

Classifying

Sampling and Resampling

Ensembling

First Half:

How to work with data in R

First Half:

How to work with data in R

Second Half:

How to learn from data in R

R for Data
Science

Tidy Modeling
with R

R Markdown: The Definitive Guide

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)

Office Hours

  • One-on-one consulting

    • Ask questions

    • Problem solving

    • Consultation on projects

  • Sign-up required

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