Data Science

Predictive Modeling and Analytics

4.55 (101 Ratings)


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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 variety of 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

  • check Linear Regression
  • check Logistic Regression
  • check Discriminant Analysis

Course Syllabus

Predictive Modeling and Analytics

  • play Overview of Predictive Modelling
  • play Understanding Regression
  • play Regression using R
  • play Logistic Regression
  • play Logistic Regression using R
  • play Introduction to Linear Discriminant Analysis (LDA)
  • play LDA in R
  • play Frequency Based Algorithm
  • play Frequency Based Algorithms in R
  • play Model Comparison
  • play Cross Validation
  • play Cross Validation in R

Course Certificate

Get Predictive Modeling and Analytics course completion certificate from Great learning which you can share in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.

GL Academy Sample Certificate
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