Coursera Project Network
RStudio for Six Sigma - Process Capability
Coursera Project Network

RStudio for Six Sigma - Process Capability

Moses Gummadi

Instructor: Moses Gummadi

Included with Coursera Plus

Learn, practice, and apply job-ready skills with expert guidance
Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning
Learn, practice, and apply job-ready skills with expert guidance
Intermediate level

Recommended experience

2 hours
Learn at your own pace
Hands-on learning

What you'll learn

  • Import datasets into RStudio; perform Process Capability Analysis

  • Use RStudio to calculate DPU, DPO, DPMO, Yield, Rolled Throughput Yield (RTY)

  • Use RStudio to calculate Short & Long Term Z Scores, Cp, Cpk, Pp and Ppk

Details to know

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Taught in English
No downloads or installation required

Only available on desktop

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Learn, practice, and apply job-ready skills in less than 2 hours

  • Receive training from industry experts
  • Gain hands-on experience solving real-world job tasks
  • Build confidence using the latest tools and technologies
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About this Guided Project

Learn step-by-step

In a video that plays in a split-screen with your work area, your instructor will walk you through these steps:

  1. Introduction to RStudio environment; import data into RStudio and perform Process Capability Analysis.

  2. Process Capability  for Discrete Type I Data based on Product Quality -  Individual and Overall DPU, DPO, DPMO and Z-Score.

  3. Process Capability  for Discrete Type II Data based on Product Quality - Individual and Overall DPU, Yield and Z-Score.

  4. Process Capability based on Process Steps - Classical Yield, First Pass Yield and Rolled Throughput Yield (RTY) for Type I and II Discrete Data.

  5. Process Capability for Continous Data - Calculating Z Score and DPMO for a Mean, Standard Deviation and Specification Limits.

  6. Process Capability for Continous Data - Calculating Z Short Term (Potential), Z Long Term (Actual), Cp, Cpk, Pp, Ppk.

Recommended experience

Basic Statistics (RStudio for Six Sigma - Basic Descriptive Statistics), High School Math.

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Instructor

Moses Gummadi
Coursera Project Network
10 Courses6,888 learners

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How you'll learn

  • Skill-based, hands-on learning

    Practice new skills by completing job-related tasks.

  • Expert guidance

    Follow along with pre-recorded videos from experts using a unique side-by-side interface.

  • No downloads or installation required

    Access the tools and resources you need in a pre-configured cloud workspace.

  • Available only on desktop

    This Guided Project is designed for laptops or desktop computers with a reliable Internet connection, not mobile devices.

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