Introduction

General Information

  • STAT 3000: Statistics with R Programming

  • Tentative Plan: lectures mixed with labs.

Course Description

Lecture notes: https://ywanglab.github.io/STAT3000/

Lecture Repo: https://github.com/ywanglab/STAT3000/

Statistics with R Notes: https://ywanglab.github.io/statistics_r/

To be successful in this course, you will

  1. Pre-read each chapter before coming to each lecture
  2. Attend each lecture
  3. Review lecture notes after the lecture
  4. Complete each ungraded lab solidly
  5. Complete homework Assignments

What’s coming

  • UNIX/Linux shell
  • Reproducible document preparation
  • R programming
  • Data wrangling with dplyr
  • Data visualization with ggplot2
  • Probability theory, inference and modeling
  • Regression Analysis with R
  • Intro to Machine Learning

LLM as a Tutor-very Useful

Let’s get started