BUSA 8330 - Data Analytics with Python

3 hour(s)

Provides an introduction into practical forecasting techniques. Students will acquire in depth knowledge of database construction, estimation, forecasting and evaluation. Employs the basic techniques of econometric modeling and time series analysis. Topics are chosen from applied probability, sampling, estimation, hypothesis testing, and multivariate statistics. Introduction to Python programming techniques and its statistical applications. Grading Basis: Letter Grade Repeatable for credit? No
Prerequisite(s): Addmission in the MS in Business Analytics Degree
Fee: $ 25