Slides

Topic	Title	Date
First day	Introduction	Thu, Jan 09
Productivity Tools	Unix	Thu, Jan 09
Productivity Tools	RStudio	Thu, Jan 09
Productivity Tools	Quarto	Tue, Jan 14
Productivity Tools	Git and GitHub	Tue, Jan 14
R	R Basics	Thu, Jan 16
R	Vectorization	Thu, Jan 16
R	Tidyverse	Thu, Jan 16
R	ggplot2	Thu, Jan 16
R	Tidying data	Tue, Jan 21
Wrangling	Introduction to Wrangling	Tue, Jan 21
Wrangling	Importing files	Tue, Jan 21
Wrangling	Dates And Times	Tue, Jan 21
Wrangling	Locales	Tue, Jan 21
Wrangling	Data APIs	Thu, Jan 23
Wrangling	Web Scraping	Thu, Jan 23
Wrangling	Joining Tables	Thu, Jan 23
Data Visualization	Data Visualization Principles	Tue, Jan 28
Data Visualization	Distributions	Tue, Jan 28
Data Visualization	Dataviz In Practice	Thu, Jan 30
Probability	Introduction to Probability	Tue, Feb 04
Probability	Foundations of Statistical Inference	Tue, Feb 04
Inference	Introduction to Statistical Inference and Models	Thu, Feb 06
Inference	Parameters and Estimates	Thu, Feb 06
Inference	Confidence Intervals	Thu, Feb 06
Inference	Data-driven models	Tue, Feb 11
Inference	Bayesian Models	Tue, Feb 11
Inference	Hierarchical Models	Thu, Feb 13
Linear Models	Introduction	Thu, Feb 20
Linear Models	Regression	Thu, Feb 20
Linear Models	Multivariate Regression	Thu, Feb 27
Linear Models	Treatment Effect Models	Tue, Mar 11
High dimensional data	Introduction to Linear Algebra	Thu, Mar 13
High dimensional data	Matrices In R	Thu, Mar 13
High dimensional data	Distance	Tue, Mar 18
High dimensional data	Dimension Reduction	Tue, Mar 18
Machine Learning	Introduction	Thu, Mar 20
Machine Learning	Evaluation Metrics	Thu, Mar 20
Machine Learning	Conditionals	Thu, Mar 20
Machine Learning	Smoothing	Thu, Mar 20
Machine Learning	k-nearest neighbors (knn)	Tue, Mar 25
Machine Learning	Resampling Methods	Tue, Mar 25
Machine Learning	The caret package	Tue, Mar 25
Machine Learning	Algorithms	Thu, Mar 27
Machine Learning	ML In Practice	Thu, Mar 27