BADM 577

Spring 2020 Part of Term 1

Part of Term 1
Jan 21-May 6

Predictive Data Analytics

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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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BADM 577 class schedule data for spring 2020
	CRN	Type	Section	Time	Day	Location	Instructor	Section Details
	70098	Lecture-Discussion	A	12:30PM -1:50PM	TR	Business Instructional Fac	Ye, H	Part of Term: 1 Date Range: 01/21/20-05/06/20 Section Info: This course is open to students pursuing the Graduate Minor or Concentration in Business Data Analytics. Restriction(s): Restricted to MS:Business Administrtn -UIUC, MBA: (PT) Business Adm -- UIUC, MS: Technology Management-UIUC, or MBA:Bus Administration -UIUC.