Courses I teach at the Kellogg School of Management
One of the flagship MBA experiential learning experiences at the Kellogg School of Management. I bring real clients with real data challenges into the classroom, and students spend the term working directly with them under my supervision. Projects range from primary empirical analysis—using statistics and machine learning—to data and AI strategy work, where students help clients identify and map out high-value use cases. The course combines analytical rigor with creative, big-picture business thinking to prepare the next generation of business leaders.
Making Data Work
An MBA course for future leaders in data-rich environments. I teach students how to make data a source of influence and impact across an organization: how to frame the right questions, lead teams, and navigate the opportunities and challenges of analytics and AI. We study real cases and apply practical frameworks to issues such as building trust in data, measuring ROI, and guiding data and AI transformations. The course develops both the judgment and the strategic perspective needed to turn data into true advantage.
Generating Business Value with Data Science
A graduate course for aspiring data scientists in the MS in Machine Learning and Data Science program at the McCormick School of Engineering and Applied Sciences. I teach students how to connect technical skill with professional influence: how to frame problems, communicate insights, and guide decisions so that their work creates measurable business value. The course blends analytical rigor with strategic perspective, preparing students to become data scientists who lead by influencing critical decisions and shaping strategy.
Turning Data Into Revenue: Decision-Making Analytics for Sales and Revenue Executives
A 1.5 day executive course on how to use data to achieve greater business performance using for sales and revenue leaders.