Some problems are difficult or impossible to solve with standard mathematical or statistical approaches - these can often be solved by using the Monte Carlo method. This course covers multiple Monte Carlo applications for ready use.
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.
Course Overview [Autogenerated] everyone. My name is Chase de Han and welcome to my course Monte Carlo method and our I'm currently the manager of data science, AD DS Oreo and hold a PhD in economics from the University of Utah. In this course, we're going to cover multiple implementations of the Monte Carlo method and are the Monte Carlo. Method is an incredibly valuable approach to estimating uncertainty and numerical outputs that might be difficult or impossible using other methods. Some of the major topics that we will cover include fundamentals of Monte Carlo and the essential are functions the basic Monte Carlo approaches with rolling dice or estimating pie. Then we're gonna get in some fun topics with estimating asset prices and value at risk in financial applications for stock and commodity prices. And then we'll close it out by using Monte Carlo on a B testing for cases where you might not have enough data to perform with traditional statistical methods. By the end of this course, to be able to implement Monte Carlo methods in a variety of approaches. Before beginning this course, you should be quite familiar with er language and have the ability to use and write functions. E. I hope you'll join me on this journey to learn Monte Carlo on implementing Monte Carlo method and our course at Pluralsight.