Master of Science in Data Science - Reference Materials

MS in Data Science & Business Analytics, Wayne State University

This resource is provided only as a reference for future students. Not all courses (or even all courses I personally took) are included here.

DSA 6000: Data Science & Analytics

• Textbook: An Introduction to Statistical Learning with Applications in R by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
• Coursework Fall 2019

DSE 6000: Computational Platforms for Data Science

• Assignment 1
• Assignment 2
• Assignment 3
• Final Project

DSB 6100: Marketing Analytics

Explanatory Modeling for Business Analytics: Goodbelly Case

• Technical Summary - summary of technical report (This portion of the project was originally completed by 3 of my classmates and me in a group of 4. Here, I’ve condensed my contribution both for the sake of brevity and in the interest of only publishing work I directly completed.)
• Things to Improve
• Code (Python) - includes the dataset provided by the instructor
• Model Outputs (Text Files) - details for each model w/ a list of the IVs, R-squared, regression equation, terms with coefficients and p-values
• 3D Plots
• Predicted vs. Actual Plots

DSE 6100: Data Modeling & Management

• Coming soon: Sample SQL from Assignments and Final Project

DSB 6200: Supply Chain Analytics

• Final Term Project
• Case Study from Textbook
• Textbook: Big Data Driven Supply Chain Management by Nada Sanders

DSE 6300: Data Science Apps & Development

• Can Twitter sentiment predict Bitcoin performance? (Final Term Project)
• Recommendation Algorithm Explanations (Final Term Project - Appendix)
• My (crappy) examples

Last Updated: May 8, 2019

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