Connect the Dots: Factor Analysis

Connect the Dots: Factor Analysis, available at $19.99, has an average rating of 4.3, with 19 lectures, based on 88 reviews, and has 7695 subscribers.

You will learn about Use Principal Components Analysis to Extract Factors Build Regression Models with Principal Components in Excel, R, Python This course is ideal for individuals who are Yep! Data analysts who want to move from summarizing data to explaining and prediction or Yep! Folks aspiring to be data scientists or Yep! Any business professionals who want to apply Factor analysis and Linear regression to solve relevant problems It is particularly useful for Yep! Data analysts who want to move from summarizing data to explaining and prediction or Yep! Folks aspiring to be data scientists or Yep! Any business professionals who want to apply Factor analysis and Linear regression to solve relevant problems.

Enroll now: Connect the Dots: Factor Analysis

Summary

Title: Connect the Dots: Factor Analysis

Price: $19.99

Average Rating: 4.3

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $89.99

Quality Status: approved

Status: Live

What You Will Learn

Use Principal Components Analysis to Extract Factors
Build Regression Models with Principal Components in Excel, R, Python

Who Should Attend

Yep! Data analysts who want to move from summarizing data to explaining and prediction
Yep! Folks aspiring to be data scientists
Yep! Any business professionals who want to apply Factor analysis and Linear regression to solve relevant problems

Target Audiences

Yep! Data analysts who want to move from summarizing data to explaining and prediction
Yep! Folks aspiring to be data scientists
Yep! Any business professionals who want to apply Factor analysis and Linear regression to solve relevant problems

Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect. �

This course will help you understand Factor analysis and it’s link to linear regression. See how Principal Components Analysis is a cookie cutter technique to solve factor extraction and how it relates to Machine learning .�

What’s covered?

Principal Components Analysis�

Understanding principal components
Eigen values and Eigen vectors
Eigenvalue decomposition
Using principal components for dimensionality reduction and exploratory factor analysis.�

Implementing PCA in Excel, R and Python

Apply PCA to explain the returns of a technology stock like Apple
Find the principal components and use them to build a regression model�

Course Curriculum

Chapter 1: Introduction

Lecture 1: You, This Course and Us

Chapter 2: Factor Analysis and PCA

Lecture 1: Factor Analysis and the Link to Regression

Lecture 2: Factor Analysis and PCA

Chapter 3: Basic Statistics Required for PCA

Lecture 1: Mean and Variance

Lecture 2: Covariance and Covariance Matrices

Lecture 3: Covariance vs Correlation

Chapter 4: Diving into Principal Components Analysis

Lecture 1: The Intuition Behind Principal Components

Lecture 2: Finding Principal Components

Lecture 3: Understanding the Results of PCA – Eigen Values

Lecture 4: Using Eigen Vectors to find Principal Components

Lecture 5: When not to use PCA

Chapter 5: PCA in Excel

Lecture 1: Setting up the data

Lecture 2: Computing Correlation and Covariance Matrices

Lecture 3: PCA using Excel and VBA

Lecture 4: PCA and Regression

Chapter 6: PCA in R

Lecture 1: Setting up the data

Lecture 2: PCA and Regression using Eigen Decomposition

Lecture 3: PCA in R using packages

Chapter 7: PCA in Python

Lecture 1: PCA and Regression in Python

Instructors

Loony Corn
An ex-Google, Stanford and Flipkart team

Rating Distribution

1 stars: 2 votes
2 stars: 5 votes
3 stars: 8 votes
4 stars: 33 votes
5 stars: 40 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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