BA 355: Business Analytics {Fall 2019}

General Course Material:   


First Half Material:

Notes:  Tu 9/2: ICE 1, Th 9/4, Tu 9/10: Work on Case 1.1, Th 9/12: Fit general logistic function to data, Tu 9/17: Clean 2017 data, Case 1.2, Th 9/19: More Case 1.2, Start Case 1.3, Tu 9/24, Th 9/26: Work on Case 2, Tu 10/1: Return/Discuss Case 1.2, Work on Case 2, Th 10/3: Discuss make-up for Case 1.2, show NCAA curve, catch up on Case 2 and Case 1.3.

Tu 10/8: ICE 2 (Data), Th 10/10: Case 2 Extensions, Tu 10/15: Start Case 3, Th 10/17: Outliers, ICE 3, Tu 10/22: No Class!, Th 10/24: Case 3.1, Tu 10/29: Case 3.2, discuss Zillow accuracy

Intro to BA:

Case 1: NFL Point Spreads

·         Case 1 Part 1

o   Answer Key

·         NFL Data for 2013 - 2016, Point Spreads and Win Percentages

·         Data with fitted general logistic function – file created in class on Th 9/12.

·         Case 1 Part 2

o   Answer Key

·         What to do with four ties from 2013 – 2016?  For underdog, a tie is a win?  https://en.wikipedia.org/wiki/1968_Yale_vs._Harvard_football_game

·         Case 1 Part 3

 

Case 2: Credit Scores/Probability of Default

·           Case 2

o    Extension

·           Credit Score Data

·           Short Assignment 2

·           ICE 2, Data

 

Case 3: Zillow/Real Estate Data

·         Case 3.1

o   Sample Outlier Data

·         ICE 3

·         Case 3.2 (Due Tuesday 11/5)

o   Combined Zillow Data


Second Half Material:

Notes:  Th 10/31:  Complete Case 3.2, Tu 11/5, Th 11/7: Modified Tukey’s Rule, Start Case 4, Tu 11/14: Start Case 5, Th 11/16: Work on Cases 4 and 5, Week 12:  Work on Cases 4 and 5, at least one of them must be turned in by Thursday 11/21, Tu 12/3, Th 12/5:  Work on Cases 5 and 6, Last Week! Work on Case 5, Case 6 and Take Home Final Exam – all due on Tuesday 12/17 by 4pm.

 

Take Home Final Exam (Data)

 

Knapsack Problem

·         Example

 

Case 4: Forecasting at Ska Brewing Company

 

Case 5: Zip Codes

 

Case 6:  Create an ICE or Case Study