UMD Data Science 2026: Schedule

This page contains the schedule and links for lectures, activities, homework, common code, and assignments. Working Version and subject to many updates!!

Week 1: Foundations

01 - Introduction — Start with R

02 - Project Design and Graphing Data


Week 2

03 - GGplot I — Grouped Summaries and Facets

04 - GGplot II — More Geoms, Coordinates, and Themes


Week 3

05 - Wrangling Data

06 - Summary Statistics


Week 4

07 - Quarto and Markdown Reports

08 - Flex / Catch-up


Week 5

09 - T-Tests I — Setting Up the Test

10 - T-Tests II — Running, Reporting & Extension


Week 6

11 - Regressions

12 - Weather Data & Regressions


Week 7

13 - Intro to the Final Project

14 - Finding Data & Examples for Your Project


Week 8

15 - One-Way ANOVA I — Setting Up the Test (with Factors)

16 - One-Way ANOVA II — Running, Reporting & Extension


Week 9

17 - Lake Superior Ice


Week 10

19 - Final Project Pitches (Day 1 of 2)


Week 11

21 - Joins — Fishers & the Weasel Family


Week 12

23 - Mapping — Bigfoot & GBIF


Week 13


Week 14


Week 15

29 - Final Project Presentations — Posters


Common Code you might reference

Libraries

Reading and Writing Files

GGPlot Basics

Filtering and Selecting Data

Mutating Data

Pivoting Data

Advanced Plotting

Themes

Descriptive Statistics

T-Tests

Correlation and Regression

One-Way ANOVA

purrr

Quarto Markdown Basics