RStudio for Six Sigma - Control Charts

提供方
Coursera Project Network
在此指導項目中,您將:

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初級
Cloud無需下載
Video分屏視頻
Comment Dots英語(English)
Laptop僅限桌面

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.

您要培養的技能

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

分步進行學習

在與您的工作區一起在分屏中播放的視頻中,您的授課教師將指導您完成每個步驟:

  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

指導項目工作原理

您的工作空間就是瀏覽器中的雲桌面,無需下載

在分屏視頻中,您的授課教師會為您提供分步指導

常見問題

常見問題

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