Multivariate Tools: Complete Course In Minitab With Examples

This is a complete and easy course in Multivariate Analysis with detailed illustration of practical examples in Minitab

What you'll learn

What is Multivariate Analysis and various Tools uses in it

All important concepts used in Multivariate Analysis like variance, covariance, eigen values, eigen vectors, principal components, etc.

Multivariate Analysis with the help of Practical Examples in Minitab

Principal Components Analysis with Practical Example in Minitab

Factor Analysis with Practical Example in Minitab

Item Analysis with Practical Example in Minitab

Cluster Observations Analysis with Practical Example in Minitab

Cluster Variables Analysis with Practical Example in Minitab

Cluster K-Means Analysis with Practical Example in Minitab

Discriminant Analysis with Practical Example in Minitab

Simple Correspondence Analysis with Practical Example in Minitab

Multiple Correspondence Analysis with Practical Example in Minitab

Requirements

Must able to understand English to some extent

Description

This is a complete, easiest and detailed course in Multivariate Analysis with a detailed illustration of practical examples in Minitab.It consists of the following topics and tools with practical examples for easy understanding and better clarity.1. All important terms and concepts used in Multivariate Analysis like Variance, Standard Deviation, Covariance, Eigenvectors, Eigenvalues, Principal Components (PC), etc.2. Introduction of all Multivariate Tools used in Minitab3. Selection of the correct Multivariate Tool based on the data and application4. Principal Component Analysis (PCS) with a practical example in Minitab5. Factor Analysis with a practical example in Minitab6. Item Analysis with a practical example in Minitab7. Cluster Observations Analysis with a practical example in Minitab8. Cluster Variables Analysis with a practical example in Minitab9. Cluster K-Means Analysis with a practical example in Minitab10. Discriminant Analysis with a practical example in Minitab11. Simple Correspondence Analysis with a practical example in Minitab12. Multiple Correspondence Analysis with a practical example in MinitabEach of these Multivariate Tools is explained with a systematic approach following:Detailed introduction of the Multivariate ToolsData Considerations (Requirements) for each Multivariate Tools, that will help you to collect data in a correct quantity and qualityWhen to use each of the Multivariate Tools?Practical Example of Each Multivariate Tools for easy understanding and better clarityDetailed procedure to use each Multivariate Analysis Tools in Minitab Selection of various options while conducting each of the Multivariate Analysis ToolsDetailed interpretation of results from session window after conducting Multivariate Analysis by Each ToolDetailed interpretation of results from graph window after conducting Multivariate Analysis by Each ToolI am sure you will be liked this course.During the learning process, please write me back with any of your questions, queries, or comments. I will be more than happy to reply to all your messages.

Overview

Section 1: Multivariate Analysis: Introduction, Important Concepts and Multivariate Tools

Lecture 1 Multivariate Analysis: Introduction, Important Concepts and Multivariate Tools

Section 2: Assess the Structure of data by evaluating the correlations between variables

Lecture 2 Principal Component Analysis (PCA): Illustration with Example in Minitab

Lecture 3 Factor Analysis: Illustration with Practical Example in Minitab

Section 3: Item Analysis: Detailed illustration with Practical Example in Minitab

Lecture 4 Item Analysis: Detailed illustration with Practical Example in Minitab

Section 4: Group variables into clusters that share common characteristics

Lecture 5 Cluster Observations Analysis (PART-1): Detailed illustration with Example

Lecture 6 Cluster Observations Analysis (PART-2): Detailed interpretation of results

Lecture 7 Cluster Variables Analysis: Detailed illustration with Example in Minitab

Lecture 8 Cluster K-means Analysis: Detailed illustration with Example in Minitab

Section 5: Discriminant Analysis: Detailed illustration with Practical Example in Minitab

Lecture 9 Discriminant Analysis: Detailed illustration with Practical Example in Minitab

Section 6: Simple and Multiple Correspondence Analysis: illustration with Examples

Lecture 10 Simple Correspondence Analysis: Detailed illustration with Practical Example

Lecture 11 Multiple Correspondence Analysis: Detailed illustration with Example in Minitab

Students,Professionals,Company Employees,Professors,Analysts,Managers,Lean Six Sigma Experts