Six Sigma Black Belt Level Regression Analysis

Six Sigma Black Belt Level Regression Analysis, available at Free, has an average rating of 4.65, with 21 lectures, based on 520 reviews, and has 11587 subscribers.

You will learn about Build Predictive Models based on Multiple Linear and Logistic Regression Analyze and Interpret results of Regression Models This course is ideal for individuals who are Six Sigma Black Belt Aspirants or Six Sigma Aspirants, in general or Machine Learning & Statistical Modeling Enthusiasts It is particularly useful for Six Sigma Black Belt Aspirants or Six Sigma Aspirants, in general or Machine Learning & Statistical Modeling Enthusiasts.

Enroll now: Six Sigma Black Belt Level Regression Analysis

Summary

Title: Six Sigma Black Belt Level Regression Analysis

Price: Free

Average Rating: 4.65

Number of Lectures: 21

Number of Published Lectures: 21

Number of Curriculum Items: 21

Number of Published Curriculum Objects: 21

Original Price: Free

Quality Status: approved

Status: Live

What You Will Learn

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

Who Should Attend

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

Target Audiences

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

If you are a Six Sigma Black Belt Aspirantor 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

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Lecture 2: Scatter Diagram

Lecture 3: Applying Scatter Diagram

Lecture 4: Correlation Coefficient

Lecture 5: Introduction to Linear & Multiple Regression

Chapter 2: Regression in Detail

Lecture 1: Line of Best Fit

Lecture 2: Regression in Minitab

Lecture 3: Fits & Residuals

Lecture 4: Partial Correlation

Lecture 5: Importance of Rsq

Lecture 6: Confidence Band and Prediction Band

Lecture 7: Multiple Linear Regression

Lecture 8: Multi-collinearity

Lecture 9: Best Subsets

Lecture 10: Logistic Regression Intro

Lecture 11: Performing Logistic Regression

Chapter 3: Concluding Lectures & Practice Files

Lecture 1: Correlation & Regression Practice Files

Lecture 2: Preparation Tips for Six Sigma Certifications

Lecture 3: GB & BB Curricula

Lecture 4: Bonus Lecture : Next Steps

Lecture 5: Bonus Lecture : Details of our courses

Instructors

Nilakantasrinivasan Janakiraman
Customer Experience & Business Transformation Leader

Rating Distribution

1 stars: 6 votes
2 stars: 16 votes
3 stars: 60 votes
4 stars: 211 votes
5 stars: 227 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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