STA-230 - Introduction to Data Science (Fall 2023)

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Last updated: Fri Dec 8 2023, 09:23

Syllabus

Welcome to the course website for STA 230, Introduction to Data Science. To begin, you can find the course syllabus linked below:

Click here to view the course syllabus

You can locate course content by scrolling, or by using the navigation bar in the upper left.

Please note: material will not be posted until we’ve reached that point in the course.

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.

Lab Topics and Links:

Introduction to R
- Lab 1 (intro)
- Lab 2 (R Markdown)
- Optional Lab (common hypothesis tests)
- Labs due as a single document on pweb 9/6
Data visualization
- Lab 3 (intro to ggplot)
- Lab 4 (Themes and Scales - ggplot)
- Bonus Lab (ggplot)
- Labs due (excluding bonus) as a single document 9/13 at 11:59pm
Data manipulation
- Lab 5 (reshaping data with tidyr)
  - Visual aid (pivot)
  - Visual aid (aes)
- Lab 6 (manipulation with dplyr)
  - Summary summary
- Lab 7 (merging and joining)
- Labs due (excluding bonus) as a single document 9/25 at 11:59pm
- Optional lab (functions, iteration, and files)
Misc topics
- Lab 8 (string processing with stringr)
- Lab 9 (functions conditionals and files)
- Lab 10 (dates)
- Labs due as a single document (MUST BE HTML) by 10/9 at 11:59pm
Interactive data visualizations
- Lab 11 (interactive graphics with plotly)
- Lab 12 (maps with ggplot)
- Labs due Wednesday AFTER break, 10/25 at 11:59pm
R Shiny applications
- Lab 13 Shiny UI
- Lab 14 Shiny Server
- Lab 15 Shiny Style 😎
- Resources for Shiny
- Labs due 11/3 at 11:59pm
Regression
- Lab 16 Simple Linear Regression
- Lab 17 Multivariate Regression
- Lab 18 Logistic Regression
- Regression Review
- Labs due 12/01 at 11:59pm
Misc
- Lab 19 Principal Components Analysis
- Labs due 12/08 at 11:59pm

Misc Announcements

Grade Calculator

End of Semester Evals

11/28 Statistics Major survey

10/11 Please fill out this mid semester course evaluation!

Math and Stats concentration welcome session, 2nd year students only, Thursday Oct 5 11AM - 12PM in Math Commons area (Noyce 2520). Faculty and SEPC members will be present. Ice cream and popsicles.

MASS Talk Graduate school in statistics, seminar, Thursday November 9 at 4pm in Noyce 2517

Course Summary and Cheatsheets

ggplot2 Cheatsheet

stringr Cheatsheet

lubridate Cheatsheet

R Shiny Cheatsheet

R Markdown Cheatsheet

Summary

Homework Assignments

Throughout the semester there will be 6-7 homework assignments:

Homework #1
- Template .Rmd File
- Due date: 9/6
Homework #2
- Due date: 9/15 at 11:59pm
Homework #3
- Due date: Monday 9/25 at 11:59pm
Homework #4
- Due date: Friday 10/25 at 11:59pm
Homework #5
- Due date: 12/8 at 11:59

Projects

Data cleaning and visualization take-home (midterm 1)
- Current plan is to release this Tuesday (9/26) at 8am and have it due Thursday (9/28) by 11:59pm
- No class on Wednesday (9/27) to allow extra time
- Will offer extra office hours during those times
- Practice take-home (from Spring 2023)
R Shiny Presentations (midterm 2)
- Details here!
- Proposal due 10/27
- Data cleaning/visualization sketch due 11/1
- Final code, data, and report due 11/10
- Don’t forget about the resources page
- ZOOM LINK
- WEBEX LINK
- webex link 2 (try this first)
- Submission Format Example
  - Zip file with raw data, clean data, cleaning script and app
Final Endeavor
- Due Thursday December 14 at 5pm