Data Science for Business Analytics Teaching Material

Teaching material for the Data Science for Business Analytics course - INFO-UB.0057 (Spring 2014)
IOMS Department, Stern School of Business, New York University, New York
Overall evaluation of the instructor: 6.9 / 7.0 (Department average: 5.3/7.0)
Overall evaluation of the course: 6.7 / 7.0 (Department average: 5.2/7.0)

Developed teaching material was adopted by instructors at Harvard University, Arizona State University, McGill University, George Mason University, New York University, Fordham University, Stevens Institute of Technology, etc.

Slides

Lecture 1 - Introduction to Data Mining view download

Lecture 2 - Introduction to Predictive Modeling view download

Lecture 3 - Supervised Segmentation view download

Lecture 4 - Discriminant Functions view download

Lecture 5 - Model Performance Analytics view download

Lecture 6 - Decision Analytic Thinking view download

Lecture 7 - Visualizing Model Performance view download

Lecture 8 - Prediction via Evidence Combination view download

Lecture 9 - Representing and Mining Text view download

Lecture 10 - Similarity and Nearest Neighbors view download

Lecture 11 - Unsupervised Data Mining and Clustering view download

Lecture 12 - Other Data Science Tasks and Techniques view download