STA 230 Spring 2025

Welcome to the Spring 2025 section(s) of STA 230: Introduction to Data Science

Syllabus

The syllabus can be found here

R Downloads

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 were modified from labs by Professor Ryan Miller.

Homework Assignments

  • Homework 0: Course basics. Due week 1. Gradescope only
  • Homework 1: R basics. Due week 2
  • Homework 2: Functions, Iterations, and Simulations. Due week 3
  • Homework 3: Data Visualization. Due week 4
  • Homework 4: Data Manipulation. Due week 5
  • Homework 5: Data Processing. Due week 7
  • Homework 6: Mid Semester Evaluation. Due week 8. Gradescope only
  • Homework 7: Clustering and PCA. Due week 10
  • Homework 8: SQL. Due week 11

Midterms/Extended Homeworks/Projects

  • Midterm 1: Released week 5, Due Week 6.
    • Individual
  • Midterm 2: Released week 8, Due Week 9.
    • Pseudo Random Group Assignment:
      • Groups will be released in class on Tuesday March 25
  • Midterm 3: Released Week 10, Due Week 12.
    • Choice of Group
  • Midterm 4: Released Week 12, Due Week 14.
    • 3 projects available. you have 6 points to use to rank the projects.
    • I will assign groups based on who wants to do what

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