RStudio for Six Sigma - Control Charts

제공자:
Coursera Project Network
학습자는 이 안내 프로젝트에서 다음을 수행하게 됩니다.

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
Beginner초급
Cloud다운로드 필요 없음
Video분할 화면 동영상
Comment Dots영어
Laptop데스크톱 전용

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.

개발할 기술

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

단계별 학습

작업 영역이 있는 분할 화면으로 재생되는 동영상에서 강사는 다음을 단계별로 안내합니다.

  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

안내형 프로젝트 진행 방식

작업 영역은 브라우저에 바로 로드되는 클라우드 데스크톱으로, 다운로드할 필요가 없습니다.

분할 화면 동영상에서 강사가 프로젝트를 단계별로 안내해 줍니다.

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