Management
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Principal Component Analysis

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Course Features

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Duration

1 hour

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Delivery Method

Online

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Available on

Lifetime Access

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Accessibility

Mobile, 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

1 hour

Course Description

In this class, you will learn about Business Analytics and a hypothesis to better understand the concept. In the following, you will be taught the most important terms used in the field, including data collection specifications, data collection, and transformation to aid in analysis. The primary goal of the course is on Principal Component Analysis, popularly changing large data sets. The idea helps you become familiar with the statistical and error concepts within PCA. In the final, the instructor will provide you with the example of a real-world case study to aid you in understanding MS Excel's statistical capabilities. Are you looking to improve yourself more with Machine Learning? It's time to get started with our expert Machine Learning Courses that cover all the topics you require to build your career in this field.

Course Overview

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

Skills You Will Gain

What You Will Learn

Introduction to Business Analytics

Hypothesis Testing

Deep Dive into Principal Component Analysis

PCA Case Study

Course Instructors

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Dr. R.L. Shankar

Professor, Finance & Analytics

Instructor for this course
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