Business Analytics

2 credits · Owen Graduate School of Management

Efficiently leveraging the abundance of data to make business decisions is key to staying competitive in the digital economy. This course introduces data analytics techniques that cover Perception (understanding what is happening through data), Prediction (what is likely to happen in the future based on past data), and Prototyping (what is likely to work based on pilot tests). Through in-class group exercises, students will learn how to apply appropriate analytics techniques to various business cases in marketing, operations, strategy, and other disciplines. The goal of this course is to understand key principles and processes for analyzing data and to get an introductory exposure to coding in Python and several advanced analytics/machine learning techniques. Starter code will be provided for all exercises and prior programming experience is not required. Prerequisite: MGT 6381. [2]