Teaching

INFO 3237 Business Analytics II (Undergraduate level), Instructor, Fall 2020-Fall 2023, Syllabus
- This course's primary goal is to equip students with the proficiency to comprehend, dissect, and interpret business scenarios through data analysis. The course is strategically structured to impart highly sought-after business analytics competencies that are in high demand within the job market. The curriculum’s core focus revolves around analytic skills in predictive analytics, encompassing an in-depth exploration and application of various machine learning models such as random forest, text analysis and cluster analysis. Hands-on experience with practical tools like Python and R.

DSBA/MBAD 6211 Advanced Business Analytics (Graduate level), Instructor, Spring 2021, 2022, 2023, Syllabus

- This course is designed to help students apply advanced business analytics techniques to explore and analyze various data types, so they can find subtle and non-trivial relationships that are understandable, useful, and executable to business owners. Managers in various functional areas can exploit valuable insights gained via fact-based decision-making to achieve competitive advantages. Hands-on experience with practical tools like Python and R.

Data Mining and Predictive Analytics (Graduate Level), Teaching Assistant, Fall 2014
Data Models and Decisions (Graduate Level), Teaching Assistant, Spring 2014