UCSD MGT 100: Customer Analytics

Prepared by Kenneth C. Wilbur and Dan Yavorsky

Navigation Guide : Tap to expand

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Class Slides, R Scripts and Class Videos: The links below provide the latest versions of all class content.

Study Groups, Homeworks, Intermissions and Grades: Available on Canvas.ucsd.edu

Asynchronous communication: Piazza--linked from Canvas--for all student questions, comments, requests, etc. After class or office hours are for discussions. Please, no student emails or Canvas messages.

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2024 Syllabus | Data | Past Exams |

Week 1: Customer Data Visualization
Slides | R Script | Class Video-Part 1 Slides | Class Video-Part 2 Script

Week 2: Customer Attributes
Slides | R Script | Class Video

Week 3: Product Attributes
Slides | R Script | Class Video

Week 4: Demand Modeling: Multinomial Logit
Slides | R Script | Class Video

Week 5: Midterm
No slides, script or video

Week 6: Demand Modeling: Heterogeneous Logit
Slides | R Script | Class Video

Week 7: Pricing & Optimal Pricing
Slides | R Script | Class Video

Week 8: Branding
Slides | R Script | Class Video

Week 9: Market Size & Customer Lifetime Value
Slides | R Script | Class Video

Week 10: Marketing+Finance
Slides | No R Script & No Homework | Class Video

Why do we share these class materials? Tap to expand

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1. We are public employees, so we like to make our work products publicly accessible when possible.

2. We want as many people as possible to be as good at analytics as possible. We hope that sharing these materials could encourage that.

3. We hope our materials could help other teachers in their analytics course designs. The github repository contains .qmd Quarto source files to modify presentation pages. We invite others to remix or extend these materials. Please share any revisions or corrections back with us, so we can consider incorporating them with attribution into our next iteration.

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