Week 1: Course Overview

Jan 17 & Jan 19

Lecture Materials:
Lecture Slides

Lab Materials:
Tableau Terminology Handout
Week 1 Lab Notes

Problem Set 1 Materials - Due Thursday, Jan 25 by 11:59 PM:
Problem Set 1 Instructions
Download Supermarket Sales Data
Description of Supermarket Sales Data


Week 2: Making Data-Driven Decisions

Jan 24 & Jan 26

Lecture Materials:
Lecture Slides

Lab Materials:
Tableau Terminology Handout
Week 2 Lab Notes

Problem Set 2 Materials - Due Thursday, Feb 01 by 11:59 PM:
Problem Set 2 Instructions
Download Supermarket Sales Data
Description of Supermarket Sales Data


Week 3: Effective Data Visualizations


Week 4: Mini Project


Week 5: Intro to Time Series

Feb 14 & Feb 16

Lecture Materials:
Lecture Slides

Lab Materials:
Week 5 Lab Notes
Download Carrot Price Data
Download Corn Price Data
Download Tomato Price Data

Problem Set 5 Materials - Due Friday, Feb 23 by 11:59 PM:
Problem Set 5 Instructions


Week 6: Intro to Linear Regression and Forecasting

Feb 21 & Feb 23

Lecture Materials:
Lecture Slides

Lab Materials:
Week 6 Lab Notes
Download Carrot Price Data

Problem Set 6 Materials - Due Friday, Mar 01 by 11:59 PM:
Problem Set 6 Instructions


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

Feb 28 & Mar 01

Lecture Materials:
Lecture Slides

Lab Materials:
Week 7 Lab Notes
Download Carrot Price Data

Project Materials:
Video Presentation - Due Friday, Mar 08 (11:59 pm)
Project 1 Instructions
Project 1 Rubric


Week 8: Project 1

Mar 06 & Mar 08

Lecture Materials:
Lecture Slides

Project Materials:
Video Presentation - Due Friday, Mar 08 (11:59 pm)
Report - Due Friday, Mar 22 (11:59 pm)
Project 1 Instructions
Project 1 Rubric

Peer Evaluation - Due Friday, Mar 22 (11:59 pm)
Peer Evaluation Form


Week 9: Intro to Cross-Sectional and Clustering

Mar 20 & Mar 22

Lecture Materials:
Lecture Slides

Lab Materials:
Week 9 Lab Notes
Download arizona_grocery_foot_traffic.csv

Problem Set Materials - Due Friday, March 29 by 11:59 PM:
Project 2 Problem Set 1 Instructions


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


Week 11: Connecting Analysis to Your Objectives

Apr 03 & Apr 05

Lecture Materials:
Lecture Slides

Lab Materials:
Download shopper_info.csv
Download gtin.csv
Download store_info.csv

Project Materials:
Video Presentation - Due Thursday, April 11 (10:00 am)
Project 2 Instructions
Project 2 Rubric


Week 12: Project 2

Apr 10 & Apr 12

Lecture Materials:
Lecture Slides

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

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

Video Presentation - Due Thursday, April 11 (10:00 am)

Report - Due Friday, April 19 (11:59 pm)
Project 2 Instructions
Project 2 Rubric

Peer Evaluation - Due Friday, April 19 (11:59 pm)


Week 13: Project 3 Overview and Intro to Spatial Data

Apr 17 & Apr 19

Lecture Materials:
Lecture Slides

Lab Materials:
Lab Notes
store_info.csv.gz
shopper_info.csv.gz
Weather Data

Problem Set Materials - Due Friday, April 26 by 11:59 PM:
Problem Set 1 Instructions


Week 14: Intro to Regression

Apr 24 & Apr 26

Lecture Materials:
Lecture Slides

Lab Materials:
Lab Notes

Problem Set Materials - Due Friday, May 3 by 11:59 PM:
Project 3 Problem Set 2 Instructions

Project Materials:
Video Presentation - Due Monday, May 06 (10:00 am)
Project 3 Instructions
Project 3 Rubric


Week 15: Regression Analysis Project

May 01 & May 03

Lecture Materials:
Lecture Slides

Lab Materials:
Lab Notes

Project Materials:
Video Presentation - Due Monday, May 06 (10:00 am)
Note: We will meet on Tuesday, May 07 (4:15 pm) in Nutrien 103 for student presentation summaries.

Report - Due Thursday, May 09 (11:59 pm)
Project 3 Instructions
Project 3 Rubric

Peer Evaluation - Due Thursday, May 09 (11:59 pm)