Slides

Topic	Title	Date
First day	Introduction	Wed, Sep 04
Productivity Tools	Unix	Wed, Sep 04
Productivity Tools	RStudio	Wed, Sep 04
Productivity Tools	Quarto	Mon, Sep 09
Productivity Tools	Git and GitHub	Mon, Sep 09
R	R Basics	Mon, Sep 16
R	Vectorization	Wed, Sep 18
R	Tidyverse	Mon, Sep 23
R	ggplot2	Mon, Sep 23
R	Tidying data	Wed, Sep 25
Wrangling	Introduction to Wrangling	Mon, Sep 30
Wrangling	Importing files	Mon, Sep 30
Wrangling	Dates And Times	Mon, Sep 30
Wrangling	Locales	Mon, Sep 30
Wrangling	Data APIs	Mon, Sep 30
Wrangling	Web Scraping	Mon, Sep 30
Wrangling	Joining Tables	Mon, Sep 30
Data Visualization	Data Visualization Principles	Mon, Oct 07
Data Visualization	Distributions	Wed, Oct 09
Data Visualization	Dataviz In Practice	Wed, Oct 09
Probability	Introduction to Probability	Mon, Oct 21
Probability	Foundations of Statistical Inference	Mon, Oct 21
Inference	Introduction to Statistical Inference and Models	Wed, Oct 23
Inference	Parameters and Estimates	Wed, Oct 23
Inference	Confidence Intervals	Wed, Oct 23
Inference	Data-driven models	Mon, Oct 28
Inference	Bayesian Models	Wed, Oct 30
Inference	Hierarchical Models	Wed, Oct 30
Linear Models	Introduction	Tue, Nov 05
Linear Models	Regression	Tue, Nov 05
Linear Models	Multivariate Regression	Tue, Nov 12
Linear Models	Treatment Effect Models	Tue, Nov 12
High dimensional data	Introduction to Linear Algebra	Tue, Nov 12
High dimensional data	Matrices In R	Tue, Nov 12
High dimensional data	Distance	Mon, Dec 02
High dimensional data	Dimension Reduction	Mon, Dec 02
Machine Learning	Introduction	Mon, Dec 02
Machine Learning	Evaluation Metrics	Wed, Dec 04
Machine Learning	Conditionals	Wed, Dec 04
Machine Learning	Smoothing	Wed, Dec 04
Machine Learning	k-nearest neighbors (knn)	Tue, Dec 10
Machine Learning	Resampling Methods	Mon, Dec 09
Machine Learning	The caret package	Mon, Dec 09
Machine Learning	Algorithms	Wed, Dec 11
Machine Learning	ML In Practice	Mon, Dec 09
Other topics	Association Not Causation	Mon, Dec 16
Other topics	Introduction to Shiny	Mon, Dec 16