Principal Component Analysis

Offered byGreat Learning

Principal Component Analysis
at
Great Learning
Overview

Duration	1 hour
Total fee	Free
Mode of learning	Online
Difficulty level	Intermediate
Official Website	Explore Free Course
Credential	Certificate

Principal Component Analysis
at
Great Learning
Highlights

Earn a certificate of completion

Principal Component Analysis
at
Great Learning
Course details

What are the course deliverables?

Introduction to Business Analytics
Hypothesis Testing
Deep Dive into Principal Component Analysis
PCA Case Study

More about this course

PCA is a key part of the analysis sets that are performed on the data to help extract vital information from the data at hand
Machine Learning is considered to be one of the domains that is adding maximum value to almost all the other domains out there
This is because of the wide scope of what can be done when using Machine Learning and various analysis methodologies that follow
It becomes key that you as a learner have a complete understanding of these concepts
Keeping exactly this in mind, we have come up with this course to help you get started with PCA and understand the same to a good amount of depth

Principal Component Analysis
at
Great Learning
Curriculum

Introduction to Business Analytics

Hypothesis Testing Part 1

Hypothesis Testing Part 2

Deep Dive into Principal Component Analysis

Principal Component Analysis Case Study

Principal Component Analysis
at
Great Learning
Faculty details

Dr. R.L. Shankar

Designation : Professor, Finance & Analytics Description : Dr. R.L. Shankar is a professor of finance and analytics with over ten years of experience teaching MBA students, Ph.D. scholars and working executives. He has BTech from IIT Madras, MS in computational finance from Carnegie Mellon University, US, Ph.D. in Finance, EDHEC (Singapore), and has trained over 2,000 executives from prestigious firms. With multiple research papers published under his name, he recently received a research grant from NYU Stern School of Business and NSE for original research on Low latency trading and co-movement of asset prices. Noteworthy achievements: Ranked 15th in the "20 Most Prominent Analytics & Data Science Academicians In India: 2018". Rated among the" Top 40 under 40" infuential teachers by the New Indian Express. Current Academic Position: Professor of Finance and Analytics, Great Lakes Institute of Management. Prominent Credentials: He has been a visiting professor at IIM Kozhikode, IIM Trichy, and IIM Ranchi. He is also a TEDx speaker. Research Interest: Algorithmic trading, market microstructure, imperfections in derivatives markets and non-parametric risk measurement techniques. Teaching Experience: More than 15 years. Ph.D. in Finance from EDHEC (Singapore).