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Six Sigma Black Belt Level Regression Analysis

If you are a Six Sigma Black Belt Aspirant or simply a Six Sigma Aspirant, you will find this course of real help. Here’s why: Regression Analysis is a topic of importance in ASQ and IASSC Certification Tests. With this course, you will be able to answer quite a few questions and easily add few marks. That’s guaranteed!

If you a machine learning enthusiast, then you already know that one of the foundation pillars of Machine Learning & Predictive Modeling is Statistical Modeling (& Regression Analysis). If you don’t have a formal education in statistics or modeling, but have a strong programming background, this course will serve as a primer, explaining the concepts, (without coding). Of course, in Machine Learning there are other models & algorithms that is not in the scope of this course.

What will you learn?

• Build Predictive Models based on Multiple Linear and Logistic Regression
• Analyze and Interpret results of Regression Models

Target Audience

• Six Sigma Black Belt Aspirants
• Six Sigma Aspirants, in general
• Machine Learning & Statistical Modeling Enthusiasts

Course Curriculum

• Correlation & Scatter Diagram
• Single Linear Regression using Line of Best Fit
• Multiple Linear Regression with Best sub-set method
• Residual Analysis
• Various Statistics : R-sq, R-sq(Adj), R-sq(Pred), S Value, Mallow’s Cp, VIF
• Multi-collinearity
• Spearman’s Coefficient
• Logistic Regression using Logit function
• Predictive Analytics

Course Validity

30 Days