RStudio for Six Sigma - Monte Carlo Simulation

提供方
Coursera Project Network
在此指导项目中,您将:

Generate Continuous, Discrete and Categorical Data (Xs) Using Statistical Distributions

Create A Transfer Function That Relates The Xs With The Y (Dependent Variable)

Perform Monte Carlo Simulation & Sensitivity Analysis Using RStudio

Clock2 hours
Beginner初级
Cloud无需下载
Video分屏视频
Comment Dots英语(English)
Laptop仅限桌面

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.

您要培养的技能

  • R Programming
  • Data Analysis
  • Monte Carlo Method
  • Six Sigma
  • Rstudio

分步进行学习

在与您的工作区一起在分屏中播放的视频中,您的授课教师将指导您完成每个步骤:

  1. Random Generation of Categories & Integers Based On Uniform, Binomial, Poission and User Defined Statistical Distributions using RStudio.

  2. Random Generation of Continuous Data Based On Uniform, Normal, Log-normal, Exponential, Gamma and Triangular Statistical Distributions using RStudio.

  3. Example 1: Development of a Transfer Function Linking Xs with Y, and Perform Monte Carlo Simulation

  4. Example 2: Develop Transfer Function Using RStudio's "Function" Feature. Peform Monte Carlo Simulation.

  5. Perform Sensitivity Analysis Using Two Approaches. (A) Sensitivity of a Transfer Function at given Xs. (B) Sensitivity Analysis over a range of Simulated Xs.

指导项目工作原理

您的工作空间就是浏览器中的云桌面,无需下载

在分屏视频中,您的授课教师会为您提供分步指导

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