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Principal Component Analysis (PCA) and Factor Analysis

Analytics / Machine Learning / Dimensionality Reduction : PCA & Factor Analysis using SAS and R program
4.4
4.4/5
(207 reviews)
811 students
Created by

8.0

CourseMarks Score®

5.2

Freshness

9.3

Feedback

8.9

Content

Platform: Udemy
Video: 1h 40m
Language: English
Next start: On Demand

Table of contents

Description

The course explains one of the important aspect of machine learning – Principal component analysis and factor analysis in a very easy to understand manner. It explains theory as well as demonstrates how to use SAS and R for the purpose. 
The course provides entire course content available to download in PDF format, data set and code files. The detail course content is as follows.
•Intuitive Understanding of PCA 2D Case•what is the variance in the data in different dimensions?•what is principal component?•Formal definition of PCs•Understand the formal definition of PCA•Properties of Principal Components•Understanding principal component analysis (PCA) definition using a 3D image•Properties of Principal Components•Summarize PCA concepts•Understand why first eigen value is bigger than second, second is bigger than third and so on•Data Treatment for conducting PCA •How to treat ordinal variables?•How to treat numeric variables?•Conduct PCA using SAS: Understand•Correlation Matrix•Eigen value table•Scree plot•How many pricipal components one should keep?•How is principal components getting derived?•Conduct PCA using R•Introduction to Factor Analysis•Introduction to factor analysis•Factor analysis vs PCA side by side•Factor Analysis Using R•Factor Analysis Using SAS•Theory for using PCA for Variable Selection•Demo of using PCA for Variable Selection

You will learn

✓ Understand Principal Component Analysis and Factor Anallysis in crysal clear manner
✓ Will know how to coduct principal component analysis and factor analysis using SAS / R
✓ Will understand, how PCA helps in dimensionality reduction
✓ Will understand the difference and similarity between PCA and factor analysis
✓ Students will be able to use PCA for variable selection

Requirements

• The course will start with elementary concepts but knowledge of basic statistics will help
• For execution – it will help to know basic SAS or R programming

This course is for

• Analytics Professionals
• Research Scholars
• Data Scientists

How much does the Principal Component Analysis (PCA) and Factor Analysis course cost? Is it worth it?

The course costs $14.99. And currently there is a 25% discount on the original price of the course, which was $19.99. So you save $5 if you enroll the course now.
The average price is $4.8 of 319 Business Analytics courses. So this course is -212% cheaper than the average Business Analytics course on Udemy.

Does the Principal Component Analysis (PCA) and Factor Analysis course have a money back guarantee or refund policy?

YES, Principal Component Analysis (PCA) and Factor Analysis has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Principal Component Analysis (PCA) and Factor Analysis course, but there is a $5 discount from the original price ($19.99). So the current price is just $14.99.

Who is the instructor? Is Gopal Prasad Malakar a SCAM or a TRUSTED instructor?

Gopal Prasad Malakar has created 17 courses that got 10,363 reviews which are generally positive. Gopal Prasad Malakar has taught 110,120 students and received a 4.2 average review out of 10,363 reviews. Depending on the information available, Gopal Prasad Malakar is a TRUSTED instructor.
Trains Industry Practices on data science / machine learning
       I am a seasoned Analytics professional with 20+ years of professional experience. I have industry experience of impactful and actionable analytics, data science, decision strategy and enterprise wise data strategy. 
I am a keen trainer, who believes that training is all about making users understand the concepts. If students remain confused after the training, the training is useless. I ensure that after my training, students (or partcipants) are crystal clear on how to use the learning in their business scenarios. 
My expertise is in Credit Card Business, Scoring (econometrics based model development), score management, loss forecasting, business intelligence systems like tableau /SAS Visual Analytics, MS access based database application development,  Enterprise wide big data framework and streaming analysis. 
Please refer to my course for 
– SAS / R program details (syntax and options)
– SAS / R output deep dive
– Practical usage in Industrial situation
Browse all courses by on Coursemarks.
Platform: Udemy
Video: 1h 40m
Language: English
Next start: On Demand

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