UMD Data Science 2026: Schedule

This page contains the schedule and links for lectures, activities, homework, common code, and assignments. Working Version

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Week 1: Foundations

01 - Introduction - Start with R

02 - Project Design and Graphing Data

Week 2

03 - Wrangling and Summary Statistics

04 - T-Tests and Hypotheses

Week 3

05 - Quarto and Markdown Reports

06 - Regressions

Week 4

07 - Downloading and Summarizing Weather Data

08 - Intro to the Final Project

Week 5

09 - Lake Superior Ice

10 - Factors

Week 6

11 - One-Way ANOVA

12 - Joins

Week 7

13 - Mapping — Bigfoot & GBIF

14 -

Week 8

15 -

16 -

Week 9

17 -

18 -

Week 10

19 - Review

20 -

Week 11

21 -

22 -

Week 12

23 -

24 -

Week 13

25 -

26 -

Week 14

27 -

28 -

Week 15

29 -

30 -

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

Joins

Dates

Factors

Functions

purrr

Quarto Markdown Basics