Course Software

Helpful R Resources

Project 00: Data for Project

Project 01: Choose Your Own Time-Series Data from These Sources

Project 02: Choose Your Own Cross-Sectional and Spatial Data from These Sources

Project 03: Data for Project


Week 1: Course Overview


Week 2: Making Data-Driven Decisions


Week 3: Effective Data Visualizations


Week 4: Mini Project


Week 5: Intro to Time Series


Week 6: Intro to Forecasting

Lecture: Feb 26
Lecture Slides

Lab: Feb 28
Week 6 Lab Notes
Download Carrot Price Data

Problem Set 6: Due Mar 7 at 11:59 PM
Problem Set 6 Instructions


Week 7: Prediction Intervals, Forecasting Options, and Presenting in Tableau

Lecture: Mar 5
Lecture Slides

Lab: Mar 7
Week 7 Lab Notes
Download Carrot Price Data

Project 1 (Problem Set 7):
Video Presentation - Due WEDNESDAY Mar 12 at 11:59 PM
Project 1 Instructions
Project 1 Rubric


Week 8: Project 1

Lecture: Mar 12
Lecture Slides

Project 1:
Video Presentation - Due WEDNESDAY Mar 12 at 11:59 PM
Report - Due Mar 21 at 11:59 PM
Project 1 Instructions
Project 1 Rubric

Peer Evaluation - Due Mar 22 at 11:59 PM
Peer Evaluation Form


Week 9: Intro to Cross-Sectional and Clustering

Lecture: Mar 26
Lecture Slides

Lab: Mar 28
Week 9 Lab Notes
Download arizona_grocery_foot_traffic.csv

Problem Set 8: Due Apr 4 at 11:59 PM
Problem Set 8 Instructions


Week 10: Intro to Mapping and Visualizing Cross-Sectional Data


Week 11: Connecting Analysis to Your Objectives

Lecture: Apr 9
Lecture Slides

Lab: Apr 11
Download shopper_info.csv
Download gtin.csv
Download store_info.csv

Project 2 (Problem Set 10):
Video Presentation - Due WEDNESDAY Apr 16 at 11:59 PM
Project 2 Instructions
Project 2 Rubric


Week 12: Project 2

Lecture: Apr 16
Lecture Slides

Lab: Apr 18
Each student pair will be asked questions about their presentation during class.

Project 2:
Download shopper_info.csv
Download gtin.csv
Download store_info.csv

Video Presentation - Due WEDNESDAY April 16 at 11:59 PM

Report - Due Apr 18 at 11:59 PM
Project 2 Instructions
Project 2 Rubric

Peer Evaluation - Due Apr 18 at 11:59 PM


Week 13: Project 3 Overview and Intro to Panel Data

Lecture: Apr 23
Lecture Slides

Lab: Apr 25
Lab Notes
store_info.csv.gz
shopper_info.csv.gz
Weather Data

Problem Set 11: Due May 2 at 11:59 PM
Problem Set 11 Instructions


Week 14: Intro to Regression Analysis

Lecture: Apr 30
Lecture Slides

Lab: May 2
Lab Notes

Problem Set 12: Due MONDAY May 5 at 11:59 PM
Problem Set 12 Instructions

Project 3:
Video Presentation - Due WEDNESDAY May 7 at 11:59 PM
Project 3 Instructions
Project 3 Rubric


Week 15: Regression Analysis Project

Lecture: May 7
Lecture Slides

Lab: May 9
Lab Notes

Project 3:
Video Presentation - Due WEDNESDAY May 7 at 11:59 PM
Report - Due May 9 at 11:59 PM
Project 3 Instructions
Project 3 Rubric

Peer Evaluation - Due May 9 at 11:59 PM