Hands On Training

Implementing Monte Carlo Method in R

Pluralsight

Course Features

Duration

102 minutes

Delivery Method

Online

Available on

Downloadable Courses

Accessibility

Mobile, Desktop, Laptop

Language

English

Subtitles

English

Level

Advanced

Teaching Type

Self Paced

Video Content

102 minutes

Course Description

The Monte Carlo method is a more efficient way to solve difficult problems than standard statistical or mathematical practices. This course, Implementing Monte Carlo Method In R, will teach you how to create your own Monte Carlo simulations. You'll also learn which approach is best. You'll first learn about Monte Carlo and its fundamental functions in R. Then, you will discover simple methods and then simulate stock and commodities data to estimate return probabilities. You'll also learn how to perform A/B tests using Monte Carlo methods. You'll be able to apply the Monte Carlo methods on your own after you complete this course.

Course Overview

International Faculty

Post Course Interactions

Instructor-Moderated Discussions

Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

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 Content

Expand all sections

Module 1: Understanding Monte Carlo Basics

Module 2: Making Predictions with Monte Carlo

Module 3: Using Monte Carlo for Value at Risk

Module 4: Utilizing MC for A/B Testing

Course Instructors

Chase DeHan

Instructor

Chase is currently Lead Data Scientist at Tesorio and formerly was an Assistant Professor of Finance and Economics at the University of South Carolina Upstate. He holds a BS, MS, and PhD, all in Econ...