BADM 577

spring 2021
 
All Classes

Credit: 4 hours.

This course covers advanced techniques of data analytics, with an emphasis on the predictive perspective. This course provides both rationale and real-world applications of data analytics and is ideal for students seeking to extract insights from real data to support business decision-making. In particular, students will learn to: (1) mine, summarize and visualize data (2) formulate, identify, and design optimal procedure for prediction, forecast and inferential decision-making (3) uncover and quantify the influence of performance drivers with data (4) draw data-driven conclusions to create competitive advantage for businesses.

4 graduate hours. No professional credit. Credit is not given for BADM 577 and BADM 590 (47816), Section AN.

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