University of Kansas

1. BSAN 450: Data Mining & Predictive Analytics (undergraduate) - Spring 2021 - 2024

   The primary objective of this course is to enable students to explain and perform statistical analysis of data, with the view of being able to critically evaluate statistical reports or findings. This course relies heavily on computer programming using R.

2. BSAN 730: Large Scale Data Analysis (graduate) - Spring 2021 - 2024

   In this course I focus on the statistical analysis of large-scale data. Students learn how some well-known statistical tools can be adapted for the analysis of Big Data and how the limitations of classical tools have engineered the development of modern techniques for data analysis. This course relies heavily on computer programming using R and the emphasis is on applications. Special thanks to the guest speakers (Weinan Wang, Aniruddha Neogi, Joshua Derenski, Bradley Rava, Jacob Dice, Sara Almohtasib) who have given a lecture in this class and have shared their unique experiences in managing and analyzing large data.

University of Southern California

1. BUAD 310g: Applied Business Statistics (undergraduate) - Summer 2018.
2. GSBA 604: Regression and Generalized Linear Models (graduate) - Teaching Assistant, Fall 2018.