Predictive Modeling and Analytics

 4.55 (101 Ratings)

About this course

In this highly competitive global environment, any professional and progressive organization that aims to grow significantly cannot depend solely on qualitative methods of prediction. Instead, robust quantitative methods that model large amounts of data can be used for more accurate prediction. Predictive Modeling encompasses a linear techniques that can be used by organizations to predict continuous (for example, sales or demand data) as well as categorical (is someone a buyer or non-buyer?) dependent variables based on a host of input variables (independent variables).

Skills covered

  • Linear Regression
  • Logistic Regression

Course Syllabus

Predictive Modeling and Analytics

  • Overview of Predictive Modelling
  • Understanding Regression
  • Regression using R
  • Logistic Regression
  • Logistic Regression using R

Predictive Modeling and Analytics

1 thought on “Predictive Modeling and Analytics

Leave a Reply

Your email address will not be published. Required fields are marked *