STA 230 Fall 2024

Welcome to the Fall 2024 section(s) of STA 230: Introduction to Data Science

Syllabus

The syllabus can be found here
Proposed Schedule change 05 November

R Downloads

• R
• RStudio
• RTools44

Labs

Sta-230 uses a workshop style class format. This means that the majority of our class time will be devoted towards collaboratively working through guided lab activities. You should consult the syllabus for a more detailed description of lab procedures and expectations. The majority of these labs come from Professor Ryan Miller.

• Introduction
  • Lab 1: Introduction to R
  • Lab 2: R Markdown
  • Lab 3: Files, Functions, and FilePaths
• Data Visualization
  • Lab 4: ggplot part 1
  • Lab 5: ggplot part 2
• Data Manipulation in R
  • Lab 6: tidyr
  • Lab 7: dplyr
• Joins and working with SQL
  • Lab 8: Joins using dplyr
  • Lab 9: SQL Basics
• Data Processing
  • Lab 10: Text Processing
  • Lab 11: Date/Time Processing
• Interactive Graphics
  • Lab 12: R Shiny
  • Lab 13: plotly
• Functions, Iterations, and simulations
  • Lab 14: FIS 1
  • Lab 15: FIS 2
• Clustering and PCA
  • Lab 16: Clustering 1
  • Lab 17: Clustering 2
  • Lab 18: PCA
• Biased Graphics
  • Lab 19: Misleading Graphics 1
  • Lab 20: Misleading Graphics 2

Homework Assignments

• Homework 0: Due 07Sep2024. Available on Gradescope only
• Homework 1: Due 13Sep2024 RMD template
• Homework 2: Due 20Sep2024
• Homework 3: Due 27Sep2024
• Homework 4: Due 11Oct2024
• Homework 5: Due 18Oct2024
• Homework 5.5: Due 01Nov 2024. Available on Gradescope only
• Homework 6: Due 15Nov2024
• Homework 7: Due 22Nov2024

Projects

R Shiny Project: Proposal due Friday October 18, Sketch due Friday November 01, Project due Friday November 08.

Final Project: Due Tuesday December 10 at 10 pm

Recommended Readings

• Example of how I approach matching figures (e.g. HW 3)

Midterm Instructions

Will be added on Tuesday If you were unable to get Lab9 working on your personal laptop, use the csvs below and make a note.
csv1 csv2 csv3 csv4