WEEKLY NOTES

Learning Reflections and Key Concepts

Author

Tess Vu

WEEK 1: COURSE INTRODUCTION

09-08-2025 Notes: Course Introduction

WEEK 2: DPLYR BASICS AND CENSUS DATA

09/15/2025 Notes: dplyr Basics and Census Data

WEEK 3: EXPLORATORY DATA ANALYSIS (EDA) & VISUALIZATION

09/22/2025 Notes: Exploratory Data Analysis (EDA) & Visualization

WEEK 4: SPATIAL DATA & GIS OPERATIONS IN R

09/29/2025 Notes: Spatial Data & GIS Operations in R

WEEK 5: PREDICTIVE MODELING WITH LINEAR REGRESSION

10/06/2025 Notes: Predictive Modeling with Linear Regression

WEEK 6: SPATIAL MACHINE LEARNING & ADVANCED REGRESSION

10/13/2025 Notes: Spatial Machine Learning & Advanced Regression

WEEK 7: MODEL DIAGNOSTICS & SPATIAL AUTOCORRELATION

10/20/2025 Notes: Model Diagnostics & Spatial Autocorrelation

WEEK 8: MIDTERM PROJECT

10/27/2025: Midterm Project

WEEK 9: CRITICAL PERSPECTIVES ON PREDICTIVE POLICING

11/03/2025 Notes: Critical Perspectives on Predictive Policing

WEEK 10: LOGISTIC REGRESSION FOR BINARY OUTCOMES

11/10/2025 Notes: Logistic Regression for Binary Outcomes