Predictive Analytics 102: A look under the hood of a statistical model.

Presenters: Mike Laracy, Rapid Insight; Chuck McClenon, UT Austin
Year: 2013
Price: Members: FREE, Non-Members: $39
Body of Knowledge Alignment:
Domain: Data Analytics
Competencies and Levels:  

  • Competency 1: Cross Industry Standard Process for Data Mining (CRISP-DM) Competencies, Level I & Level II
  • Competency 2: Project Management, Level I 
  • Competency 3: Data Manipulation Skills, Level I & Level II
  • Competency 4: Statistical Techniques and Competencies, Level I & Level II
  • Competency 5: Visualization/Reporting Techniques and Competencies, Level I & Level II
  • Competency 6: Communication, Level I & Level II  
  • Competency 7: Fund Raising Knowledge, Level I & Level II
  • Competency 9: Change Management/Strategic Thinking, Level I & Level II

In this session Chuck McClenon from UT Austin and Mike Laracy from Rapid Insight will discuss some of the statistical concepts behind predictive modeling. From demystifying R-squared to understanding how hypothesis testing and p values work, this session will give attendees a deeper understanding of the basic concepts that enable us to build predictive models. The Rapid Insight® Analytic Suite will be used at the end of the webinar to demonstrate some of these concepts.

Learning Objective 1: Attendees will acquire a deeper understanding of the mathematical concepts and statistical theory behind modeling.

Learning Objective 2: Attendees will gain knowledge that can be applied to their modeling efforts and data analytics in general.


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