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Statistical and Predictive Modeling for Analytics II

Code:
DATA 2284

Students will build on the learnings from the Statistical and Predictive Modelling I course and cover more advanced concepts such as regression analysis, clustering algorithms, conjoint measurement, and decision tree analysis. Students will also be able to integrate and calibrate these model structures for evaluation and implementation purposes.

Notes:

This course is part of the Data Analytics for Business Decision Making (Graduate Certificate) which has minimum computer requirements. Please visit the program page to ensure you meet the requirements prior to enrolling into this course.


Textbooks:

  • Fall - None required
  • Spring/Summer - None required

Equivalents:

  • DATA 2204

Prerequisites:

  • (DATA 1284 Statistical and Predictive Modeling for Analytics I
  • Or DATA 1204 STATISTICAL PREDICTIVE MODELING FOR ANALYTICS I )

This course is part of the following program(s):

Note: Clicking on any of the following links will take you to the program of studies where you can obtain more information or choose additional courses for your shopping cart.

Scheduled Dates

CRN Day Date Time Hours Location Fee Availability
1157410-SEP-19 to 17-DEC-1912:00 am - 12:01 am56Online $407.51
1083612-MAY-20 to 18-AUG-2012:00 am - 12:01 am56Online $407.51
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