Schedule

Week	Link	Topic	Lab	Notes
1		Introduction	No Lab	CIT Ch. 1
2		Plots and Hypotheses	Lab 0: Setup	CIT Ch. 2
3		Tabular Data and Python	Lab 1: Using Pandas	No Class M (Labor Day) DS CH. 1, 2
4		Statistics Intro	Lab 2: Visualizing Stats
5		Data Wrangling	Lab 3: Filtering and Aggregation
6		Data Limitations	Lab 4: Dirty Data
7		Visualizations I	Lab 5: Plot Critique	No Class F (Fall Break)
8		Visualizations II	Project Workshop
9		Communicating Findings	Lab 6: Filing a Report	Proposal Due M @ 11:59pm
10		Inferential Statistics	Lab 7: A/B Tests
11		Linear Relationships	Lab 8: Linear Regression	Check-in Due F @ 11:59pm
12		Uncertainty	Lab 9: Communicating Confidence
13		Private Data Analysis	Lab 10: Private Data Analysis
14		Causal Inference	No Lab	No Class W/F (Thanksgiving Break)
15		Project Presentations	No Lab	Report Due M @ 11:59pm

Assigned reading is from Computational and Inferential Thinking: The Foundations of Data Science (CIT) and Data Science: A First Introduction with Python (DS).