BADM 577 A - Predictive Data Analytics
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. Course Information: 4 graduate hours. No professional credit. Credit is not given for BADM 577 and BADM 590 (47816), Section AN.
This course is open to students pursuing the Graduate Minor or Concentration in Business Data Analytics. Students are required to log in and use Compass2g (compass2g.illinois.edu) in order to complete this course.
Academic Program Restrictions:
MS: Technology Management-UIUC
Option 1Number of Required Visit(s): 0
Course Level: Graduate