Foundations in Data Science
PSY 652 Details
Syllabus
Schedule
Modules
01 — Intro to the Tools
02 — No Code Intro to Describing Data
03 — Data Visualization
04 — Data Wrangling
05 — Basic Rules of Probability
06 — Probability Distributions
07 — Sampling and Descriptive Statistics
08 — Quantifying Uncertainty in Descriptive Statistics
09 — Confidence Intervals for Descriptive Statistics
10 — Simple Linear Regression
11 — Multiple Linear Regression
12 — Quantifying Uncertainty in Regression Models
13 — Categorical Predictors
14 — Moderation
15 — Non-linear effects
16 — Null Hypothesis Significance Testing
17 — Checking Assumptions and Remediation
18 — Causal Inference
Apply and Practice Activities
Crude and Adjusted Statistics
Wealth Inequality
American Dream
ARCOS Buyers
ARCOS Compare States
ARCOS Maps
ARCOS gt Table
Pivoting the American Dream
Pew Project Tutorial
NSDUH Cross Tabulations
NSDUH Confidence Intervals
Gatsby Curve SLR
Gatsby Curve MLR
Intro to Model Building
Blair Replication Set Up
Blair Replication Explore Logarithms
Blair Replication Explore Polynomials
Blair Replication Fit Models
Blair Replication Quarto APA Manuscript
Model Building with MIDUS
Lectures
Week 1 — August 25, 2025
Week 2 — September 1, 2025
Week 3 — September 8, 2025
Week 4 — September 15, 2025
Week 5 — September 22, 2025
Week 6 — September 29, 2025
Week 7 — October 6, 2025
Week 8 — October 13, 2025
Week 9 — October 20, 2025
Week 10 — October 27, 2025
Posit Cloud
On this page
Non-linear models fit with ordinary least squares regression
Slide deck
Lecture Materials for Week 10
October 27, 2025
Non-linear models fit with ordinary least squares regression
Slide deck
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