This course extends and deepens the material you learned in business analytics. We will apply these methods in more unstructured and diverse situations, introduce new analytics tools and methods (including Tableau Visualization, text mining, and random forests), and study a modern framework for overfitting reduction called regularization that underlies much of modern machine learning. This course does not require coding or knowledge beyond Business Analytics, but the mathematical sophistication level will be somewhat more advanced.
Senior Lecturer in the Discipline of Decision, Risk and Operations; Director Center for Pricing and Revenue Management and Business Analytics Initiative
Adjunct Assistant Professor of Business
Brett Martin is co-Founder and Managing Partner of Charge Ventures, a pre-seed focused venture fund based in Brooklyn, NY. He also serves as an Adjunct Professor at Columbia Business School.
A 2x founder and 3x investor, Brett has spent his entire career building or investing in technology startups, including stints as an EIR @PrimaryVC (NYC-based seed stage fund with >$100MM AUM...