RStudio for Six Sigma - Monte Carlo Simulation

Overview

Class Central Tips

In this 2-hour long project-based course, you will learn how to 1. Generate Continuous, Discrete and Categorical Data (Xs) Using Statistical Distributions 2. Create A Transfer Function That Relates The Xs With The Y (Dependent Variable) 3. Perform Monte Carlo Simulation & Sensitivity Analysis Using RStudio Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Syllabus

Project Overview

Welcome to RStudio for Six Sigma - Monte Carlo Simulation . This is a project-based course which should take under 2 hours to finish. Before diving into the project, please take a look at the course objectives and structure. By the end of this project, you will understand what is Monte Carlo Simulation, why it is useful and how to perform the simulation using RStudio. You will learn how to generate Continuous and Discrete data for Xs based on various statistical distributions, how to write a Transfer Function to calculate Y, how to perform Monte Carlo Simulation and Sensitivity Analysis.