Teaching Materials

Core MBA class: Business Analytics for Managers / Quantitative Analysis

• Created a well-received course project involving 50+ different public datasets. Students are able to dive into a real dataset and simulate being a manager and analyst in that industry, using the dataset to create visuals, run statistical analyses, and identify insights based on the data. 

• Part-time students are actively encouraged and supported to find ways to bring in data from their current jobs, with the professor and TAs helping to clean the data.
  
  

Executive MBA (in-development): 3-hour class on the central limit theorem, why data provides statistical confidence, and the exciting power of standard errors. Confidence intervals, hypothesis testing, and regression applications.
  

Additional Extracurrical Teaching

• (2017) (co-taught/created) Introduction to Causal Inference for Data Scientists [slides, materials] (2-day, 8-hour workshop)

• (2017) Created R Cheatsheets for "Large Scale Data Analysis for Public Policy" [link]
  
  

Previous TA for Masters Classes: Machine Learning for Problem Solving, Statistics for IT Managers, Exploring and Visualizing Data in R, Programming R for Analytics, Urban Economics