Data Sciences and Operations 530:

Applied Modern Statistical Learning Methods (3.0 units)

Overview of highly computational modern statistical learning methods; applications of logistic regression, neural networks, LASSO, trees, boosting and GAM, etc., to finance and marketing data.
  • Restriction: Registration open to the following major(s): Accounting, Business Administration/East Asian Area Studies, Business Administration/Jewish Nonprofit Management, Business Administration/Pharmacy, Business Administration/Urban Planning, Business Administration/Real Estate Development, Business Administration/Systems Architecting and Engineering, Business Administration/Social Work, Business Research, Business Taxation, Gerontology/Business Administration, Business Administration, Global Supply Chain Management, Juris Doctor/Business Administration, Law/Business Taxation, Medicine/Business Administration, Marketing, Public Health/Social Entrepreneurship, Social Entrepreneurship, Business Administration/Industrial & Systems Engineering, Business Analytics, Accounting (Data and Analytics)
  • Restriction: Registration open to the following class level(s): Doctoral Student, Master Student
  • Note: DSO 530 is an MS in Business Analytics core course. Sections 16275 and 16276 are for students admitted to the MSBA program only.
80 of 75
Xin TongONLINEnotefeesession dates
16276D033Lecture11:00-12:20pmMon, Wed
62 of 62
Xin TongONLINEnotefeesession dates
Information accurate as of September 10, 2021 2:03 pm.
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