Slides

Topic	Title	Date
First day	Introduction	Wed, Sep 03
Productivity Tools	Unix	Wed, Sep 03
Productivity Tools	RStudio IDE	Wed, Sep 03
Productivity Tools	Quarto	Mon, Sep 08
Productivity Tools	Git and GitHub	Wed, Sep 10
R	R Basics	Mon, Sep 15
R	Vectorization	Wed, Sep 17
R	Tidyverse	Mon, Sep 22
R	ggplot2	Mon, Sep 22
R	Tidying data	Wed, Sep 24
Wrangling	Introduction to Wrangling	Mon, Sep 29
Wrangling	Importing files	Mon, Sep 29
Wrangling	Dates And Times	Mon, Sep 29
Wrangling	Locales	Mon, Sep 29
Wrangling	Data APIs	Mon, Sep 29
Wrangling	Web Scraping	Mon, Sep 29
Wrangling	Joining Tables	Mon, Sep 29
Data Visualization	Data Visualization Principles	Mon, Oct 06
Data Visualization	Distributions	Wed, Oct 08
Data Visualization	Dataviz In Practice	Wed, Oct 08
Probability	Introduction to Probability	Mon, Oct 20
Probability	Foundations of Statistical Inference	Mon, Oct 20
Inference	Introduction to Statistical Inference and Models	Wed, Oct 22
Inference	Parameters and Estimates	Wed, Oct 22
Inference	Confidence Intervals	Wed, Oct 22
Inference	Data-driven models	Mon, Oct 27
Inference	Bayesian Models	Mon, Oct 27
Inference	Hierarchical Models	Wed, Oct 29
Linear Models	Introduction	Mon, Nov 03
Linear Models	Regression	Mon, Nov 03
Linear Models	Multivariate Regression	Mon, Nov 10
Linear Models	Treatment Effect Models	Mon, Nov 10
Other topics	Association Not Causation	Wed, Nov 12
High dimensional data	Introduction to Linear Algebra	Mon, Nov 17
High dimensional data	Matrices In R	Mon, Nov 17
High dimensional data	Distance	Wed, Nov 19
High dimensional data	Dimension Reduction	Wed, Nov 19
Machine Learning	Introduction	Mon, Dec 01
Machine Learning	Evaluation Metrics	Mon, Dec 01
Machine Learning	Conditionals	Mon, Dec 01
Machine Learning	Smoothing	Wed, Dec 03
Machine Learning	k-nearest neighbors (knn)	Mon, Dec 08
Machine Learning	Resampling Methods	Mon, Dec 08
Machine Learning	The caret package	Mon, Dec 08
Machine Learning	Algorithms	Wed, Dec 10
Machine Learning	ML In Practice	Mon, Dec 15
Other topics	Introduction to Shiny	Wed, Dec 17