Factor Analysis Online Course

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Sale price£27.00 Regular price£48.00


Course Description

This ’Factor Analysis’ online training course will help you understand Factor Analysis and its 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.

Factor analysis helps to cut through the clutter when you have a lot of correlated variables to explain a single effect. In this course, you will follow along with expert instructors to learn about topics such as Mean & Variance, Eigen Vectors, Covariance Matrices, and so much more!

Course Highlights:
  • Understand & Analyze Principal Components
  • Use Principal Components for dimensionality reduction and exploratory factor analysis
  • Apply PCA to explain the returns of a technology stock like Apple®
  • Build Regression Models with Principal Components in Excel, R, & Python

Course Requirements:

  • No statistics background required. Everything is built up from basic math.
  • The models are implemented in Excel, R, & Python. Install these environments to follow along with the demos.

Target Audience:

  • Data analysts who want to move from summarizing data to explaining and prediction
  • Folks aspiring to be data scientists
  • Any business professionals who want to apply Factor Analysis and Linear Regression to solve relevant problems
Length: 1 hr 45 min

Example Video

Course Outline

Chapter 01: Introduction

  • Lesson 01: You, This Course, & Us!

Chapter 02: Factor Analysis & PCA

  • Lesson 01: Factor Analysis & the Link to Regression
  • Lesson 02: Factor Analysis & PCA

Chapter 03: Basic Statistics Required for PCA

  • Lesson 01: Mean & Variance
  • Lesson 02: Covariance & Covariance Matrices
  • Lesson 03: Covariance vs Correlation

Chapter 04: Diving into Principal Components Analysis

  • Lesson 01: The Intuition Behind Principal Components
  • Lesson 02: Finding Principal Components
  • Lesson 03: Understanding the Results of PCA – Eigen Values
  • Lesson 04: Using Eigen Vectors to find Principal Components
  • Lesson 05: When not to use PCA

Chapter 05: PCA in Excel

  • Lesson 01: Setting up the data
  • Lesson 02: Computing Correlation & Covariance Matrices
  • Lesson 03: PCA using Excel & VBA
  • Lesson 04: PCA & Regression

Chapter 06: PCA in R

  • Lesson 01: Setting up the data
  • Lesson 02: PCA and Regression using Eigen Decomposition
  • Lesson 03: PCA in R using packages

Chapter 07: PCA in Python

  • Lesson 01: PCA & Regression in Python


Length of Subscription: 12 Months Online On-Demand Access
Running Time: 1 hrs 45 min
Platform: Windows & MAC OS
Level: Beginner to Advanced
Project Files: Included

Learn anytime, anywhere, at home or on the go.

Stream your training via the internet, or download to your computer and supported mobile device, including iPad, iPhone, iPod Touch and most Android devices.

Need to train your Team? Contact Us for Discounts on Multiple Subscription Purchases.

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