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Understanding and Applying Factor Analysis and PCA

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Course Features

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Duration

154 minutes

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

154 minutes

Course Description

PCA and Factor Analysis are two key techniques to reduce dimensionality and identify latent factors. This course, Understanding and applying factor analysis and PCA, will teach you how to apply and understand factor analysis and PCA. You'll first learn how to break through the clutter in factor analysis. Next, you will learn how to perform factor analysis using PCA. This powerful ML-based method is very effective. Next, you will learn how to perform the eigenvalue deduction, which is a standard linear algebra procedure. You'll also learn how to use PCA to explain Google stock returns in Excel, VBA, R and Python. This course will equip you with the knowledge and skills to apply factor analysis and PCA to solve complex business problems.

Course Overview

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International Faculty

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Hands-On Training,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

By the end of this course, you'll have a strong applied knowledge of factor analysis and PCA that will help you solve complex business problems

Finally, you'll learn how to implement PCA to explain Google's stock returns in Excel and VBA, R, and Python

First, you'll explore how to cut through the clutter with factor analysis

Next, you'll discover how to carry out factor analysis using PCA, a powerful ML-based approach

Then, you'll learn how to perform eigenvalue decomposition, a cookie-cutter linear algebra procedure

You'll learn how to understand and apply factor analysis and PCA

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