4.4  408 reviews on Udemy

Six Sigma Black Belt Level Regression Analysis

Get ready for ASQ & IASSC Six Sigma Black Belt Certification BoK Topic | Get a Primer on Predictive Modeling
Course from Udemy
 8677 students enrolled
 en
Build Predictive Models based on Multiple Linear and Logistic Regression
Analyze and Interpret results of Regression Models

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 are you going to get:

  • 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
Six Sigma Black Belt Level Regression Analysis
Free
per course
Also check at

FAQs About "Six Sigma Black Belt Level Regression Analysis"

About

Elektev is on a mission to organize educational content on the Internet and make it easily accessible. Elektev provides users with online course details, reviews and prices on courses aggregated from multiple online education providers.
DISCLOSURE: This page may contain affiliate links, meaning when you click the links and make a purchase, we receive a commission.

SOCIAL NETWORK