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Implementing Monte Carlo Method in R

Repeated sampling using the Monte Carlo method can be a much more efficient approach in solving difficult problems vs. standard mathematical or statistical practices. In this course, Implementing Monte Carlo Method in R, you’ll gain the ability to build your own Monte Carlo simulations using a variety of approaches and know which solution is most effective. First, you’ll explore the basics behind Monte Carlo and the fundamental functions in R. Next, you’ll discover some simple methods, followed by simulations on stock and commodities data for estimating return probabilities. Finally, you’ll learn how to use Monte Carlo methods on A/B tests. When you’re finished with this course, you’ll have the skills and knowledge of Monte Carlo methods needed to implement these methods yourself.
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Rating Not enough ratings
Length 1.7 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructors C, h, a, S, e
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional

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Pluralsight

Rating Not enough ratings
Length 1.7 hours
Starts On Demand (Start anytime)
Cost $35/month (Access to entire library- free trial available)
From Pluralsight
Instructors C, h, a, S, e
Download Videos On Windows, MacOS, iOS, and Android Pluralsight app
Language English
Subjects IT & Networking
Tags Data Professional

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