Teaching

UNC Chapel Hill

BIOS 635 - Intro to Machine Learning
Spring 2021: GitHub; GitHub_Classroom

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Statistics and R Programming with IBIS (2020-2021)
Material for course designed to teach fundamental statistic concepts, analytical methods, and carrying out data management and analysis using R software. Focus is placed on learning R as a language and not simply memorizing specific commands, to allow one to tackle examples beyond what are covered in the course, and on relating the R code back to the corresponding statistical concept. First, links to the main text source for the tutorials and corresponding R code (R code as RMD files) are provided.
Textbook; R Code

Links to previously recorded sessions are provided, along with R code.
Save as .R file or copy-paste text into R/RStudio.
GitHub for all sessions provided below; download to get all files (code, data).
Video Files; Video Files Pt. 2; GitHub
Introduction to Github: Video
10/22/2020: Introduction to R and Course Slides; Code
11/12/2020: Data Wrangling Slides; Code_Pt1; Code_Pt2
11/19/2020: Data Visualization Slides; Slides_Markdown_Code; Code
12/10/2020: Creating Tables in R Code
12/10/2020: R Markdown Introduction Slides; Code
12/17/2020: Advanced Data Wrangling Slides; Slides_Markdown_Code; Code
1/15/2021: Statistical Inference Slides; Slides_Markdown_Code
1/29/2021: Association and Regression Analyses Slides; Slides_Markdown_Code; Code
2/12/2021: Longitudinal Analysis 1: Mixed Models Slides; Slides_Markdown_Code; Code; Code HTML
2/25/2021: Generalized Linear Models Slides; Slides_Markdown_Code; Code; Code HTML
3/12/2021: Presenting Results From Regression Analyses Slides; Slides_Markdown_Code; Code; Code HTML
3/26/2021: Presenting Results Pt. 2: Effect Sizes and Diagnostics Slides; Slides_Markdown_Code; Code
4/16/2021: Analyzing Contingency Tables in R Slides; Code
4/23/2021: Machine Learning Pt. 1: Supervised Learning Slides; Code
5/14/2021: Machine Learning Pt. 2: Supervised Learning Methods Slides; Code
5/28/2021: Machine Learning Pt. 3: Unsupervised Learning Slides Pt. 1; Slides Pt. 2; Code