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
  • Posit Cloud

Schedule

Week Modules Lecture topic Lab topic Lab activity
Week 1 (Aug 25) 12 Welcome, and Introduction to Data Visualization Crude and Adjusted Stats
Week 2 (Sep 01) 3 No Class - Labor Day ggplot2 Basics
Week 3 (Sep 08) 4 Plotting with ggplot2 (and a bit of Data Wrangling) Data Wrangling
Week 4 (Sep 15) 567 Probability, Sampling, and Descriptive Statistics Cross Tabulations
Week 5 (Sep 22) 89 Understanding Uncertainty and Confidence Intervals Confidence Intervals
Week 6 (Sep 29) Mid-term Exam Importing, Wrangling, and Prepping Data
Week 7 (Oct 06) 1011 Regression Modeling Fitting SLR and MLR models in R   
Week 8 (Oct 13) 12 Inference for Regression Introduction to Model Building
Week 9 (Oct 20) 1314 Categorical Predictors, and Moderation Blair Replciation -- Setting up a RStudio Project
Week 10 (Oct 27) 15 Fitting Non-Linear Models Blair Replication -- Logarithms and Polynomials   
Week 11 (Nov 03) 16 Null Hypothesis Significance Testing Blair Replication -- Fit the 5 Models
Week 12 (Nov 10) 1718 Causal Inference Checking Assumptions
Week 13 (Nov 17) Final Exam Writing APA papers with Quarto
Week 14 (Nov 24) No Class - Thanksgiving No Lab - Thanksgiving
Week 15 (Dec 01) Final Project Presentations Advanced Model Building
Week 16 (Dec 08) Final Project Presentations Regression to the Mean

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