RStudio for Six Sigma - Control Charts

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

Import datasets into RStudio; plot and interpret Control Charts.

Understand data types (Variables, Attribute Type I & II). Choose the correct Control Chart using the algorithm.

Plot & interpret IMR Charts (XMR), Xbar-R Charts, Xbar-S Charts, NP Charts, P Charts, C Charts and U Charts.

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

Welcome to RStudio for Six Sigma - Control Charts. 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 learn to identify data types (Variables, Attribute Type I & II), understand the overview of Statistical Process Control, pick the right Control Chart based on the data type and other criteria, plot and interpret control charts. This Guided Project covers IMR Charts (XMR), Xbar-R Charts, Xbar-S Charts, NP Chart, P Chart, C Chart and U Chart. You will also learn about Western Electric Rules and Nelson's rules used to interpret the stability of the process.

您要培养的技能

  • Control Chart
  • R Programming
  • Six Sigma
  • Rstudio
  • Statistical Process Control

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. Introduction to RStudio environment; overview of Data Types, Control Chart selection algorithm, and the rules to detect out of control signals in the process (Western Electric & Nelson Rules)

  2. Plot & Interpret IMR (XMR) Chart for real life scenarios

  3. Plot & Interpret Xbar-R Char and Xbar-S Chart for real life scenarios

  4. Plot & Interpret NP Chart and P Chart for real life scenarios

  5. Plot & Interpret C Chart and U Chart for real life scenarios

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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常见问题

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