Sensitivity Analysis | Types of Sensitivity Analysis | Great Learning

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Sensitivity analysis is a very important part of multiple domains today. It is a way of assessing and analyzing how multiple variables affect the outcome or other dependant variables. This is a critical component to assess especially in domains such as data science and machine learning because of the fact that making changes to data points can have good or adverse effects on the solution. To have solutions in place that are obtained by data-driven algorithms and other processes is very important in today’s world of information technology. Since it is very important for all of you to understand this in detail, we here at Great Learning have come up with this course to help you get started with Sensitivity Analysis and to understand it completely.

00:00 Introduction
02:10 Agenda
04:45 What is Sensitivity Analysis
13:50 Types of Sensitivity Analysis?
18:15 How Sensitivity Analysis works ?
28:20 Sensitivity Analysis vs Scenario Analysis
31:30 Key Applications
40:30 Practical Demonstration
51:55 Summary

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