Udemy
    •  
    •  
    •  
    •  
    •  
    •  
    •  
    •  
Subscribe
Turn what you know into an opportunity and reach millions around the world.
Learn More
Your cart is empty.
Keep shopping
Six Sigma Black Belt Level Regression Analysis
Rating: 4.5 out of 5(555 ratings)
12,315 students

What you'll learn

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

Course content

3 sections • 21 lectures • 2h 15m total length

  • Introduction5:51

    Welcome!

    Get to know what you will learn and how you can make the best out of 'Six Sigma Black Belt level Regression Analysis' course.

  • Scatter Diagram10:05

    This lecture will give you a foundation for establishing relationship between dependent and independent variables and validate this graphically. A Six Sigma Black Belt level regression analysis lecture.

  • Applying Scatter Diagram1:39

    This Six Sigma Black Belt Level lecture gives you a quick practical context to the application of scatter diagram.

  • Correlation Coefficient3:41

    This Six Sigma Black Belt Level lecture introduces you to the concept of correlation coefficient. For some of you, this will be a refresher before we deep dive into regression analysis.

  • Introduction to Linear & Multiple Regression2:40

    This Six Sigma Black Belt Level lecture introduces you to regression, in its simplest form. Again, this is a good refresher.

Requirements

  • Real Life Scenario Based Exposure to following tools and concepts
  • Scatter Diagrams, Correlation, Co-correlation & Multicollinearity
  • Multiple Linear Regression - Line of Best Fit, Least Sq Method, Best Sub-set Metho
  • Logistic Regression using Logit Function
  • Residual Analysis
  • Terms such as: Pearson's Correlation, Spearman's Rho, VIF, R-sq, R-sq (adj), R-sq (pred), S Value, Mallow's Cp
  • Confidence Band and Prediction Band

Description

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

Who this course is for:

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

Report abuse