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Moses Gummadi
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/vtk5ph/rstudio
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What's inside
Syllabus
Project Overview
Welcome to RStudio for Six Sigma - Control Charts. This is a project-based course which should take approximately 1 hour 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.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Delves into essential topics of process control, such as data types, statistical process control, and control chart selection
Offers practical insights through a project-based structure, allowing learners to apply their learnings
Suitable for learners involved in process improvement or quality assurance roles
Taught by Moses Gummadi, an experienced instructor in the field of Six Sigma
Assumes prior knowledge in statistics and process control, which may not be suitable for complete beginners
Focuses primarily on control charts, so learners seeking a broader understanding of Six Sigma may need to supplement with other resources
Save this course
Save RStudio for Six Sigma - Control Charts to your list so you can find it easily later:
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Reviews summary
Barebones content, unchallenging assignments
Learners say this course provides helpful materials, but assignments are very basic and there is no real way to take the materials with you.
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in RStudio for Six Sigma - Control Charts with these
activities:
Review the basics of probability and statistics
Show steps
This course builds on your understanding of probability and statistics. Reviewing these concepts will better prepare for the more advanced topics covered in this course.
Browse courses on
Probability
Show steps
-
Review notes from a previous probability and statistics course
-
Review textbooks or online resources on probability and statistics
-
Practice solving probability and statistics problems
Complete the online tutorial on control charts
Show steps
This course will introduce you to different types of control charts. Completing this tutorial will give you a solid foundation in control charts and help you understand the concepts covered in this course.
Browse courses on
Control Charts
Show steps
-
Find an online tutorial on control charts
-
Complete the tutorial, taking notes on important concepts
-
Review your notes and practice applying the concepts to real-world data
Practice ploting and interpreting control charts
Show steps
Plotting and interpreting control charts is an essential skill in this course. Completing these practice drills will help you develop proficiency in these skills and improve your understanding of the material.
Browse courses on
Data Analysis
Show steps
-
Find a dataset that contains control chart data
-
Plot the control chart using a statistical software package
-
Interpret the control chart and identify any patterns or trends
Two other activities
Expand to see all activities and additional details
Show all five activities
Create a control chart for a real-world process
Show steps
Applying the concepts of control charts to real-world processes is a valuable way to solidify your understanding. Completing this project will give you hands-on experience in creating and using a control chart to improve a process.
Browse courses on
Data Analysis
Show steps
-
Identify a real-world process that you can monitor using a control chart
-
Collect data from the process
-
Plot the control chart using a statistical software package
-
Interpret the control chart and make recommendations for process improvement
Contribute to the RStudio for Six Sigma - Control Charts project
Show steps
Contributing to open-source projects is a fantastic way to learn new skills and deepen your understanding of the material. Participating in this project will allow you to apply the concepts learned in this course and contribute to the community.
Browse courses on
RStudio
Show steps
-
Find an issue or feature request that you can work on
-
Fork the repository and clone it to your local machine
-
Make the necessary changes to the code
-
Submit a pull request with your changes
Review the basics of probability and statistics
Show steps
This course builds on your understanding of probability and statistics. Reviewing these concepts will better prepare for the more advanced topics covered in this course.
Browse courses on
Probability
Show steps
Show steps
Show steps
- Review notes from a previous probability and statistics course
- Review textbooks or online resources on probability and statistics
- Practice solving probability and statistics problems
Complete the online tutorial on control charts
Show steps
This course will introduce you to different types of control charts. Completing this tutorial will give you a solid foundation in control charts and help you understand the concepts covered in this course.
Browse courses on
Control Charts
Show steps
Show steps
Show steps
- Find an online tutorial on control charts
- Complete the tutorial, taking notes on important concepts
- Review your notes and practice applying the concepts to real-world data
Practice ploting and interpreting control charts
Show steps
Plotting and interpreting control charts is an essential skill in this course. Completing these practice drills will help you develop proficiency in these skills and improve your understanding of the material.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Find a dataset that contains control chart data
- Plot the control chart using a statistical software package
- Interpret the control chart and identify any patterns or trends
Two other activities
Expand to see all activities and additional details
Show all five activities
Create a control chart for a real-world process
Show steps
Applying the concepts of control charts to real-world processes is a valuable way to solidify your understanding. Completing this project will give you hands-on experience in creating and using a control chart to improve a process.
Browse courses on
Data Analysis
Show steps
Show steps
Show steps
- Identify a real-world process that you can monitor using a control chart
- Collect data from the process
- Plot the control chart using a statistical software package
- Interpret the control chart and make recommendations for process improvement
Contribute to the RStudio for Six Sigma - Control Charts project
Show steps
Contributing to open-source projects is a fantastic way to learn new skills and deepen your understanding of the material. Participating in this project will allow you to apply the concepts learned in this course and contribute to the community.
Browse courses on
RStudio
Show steps
Show steps
Show steps
- Find an issue or feature request that you can work on
- Fork the repository and clone it to your local machine
- Make the necessary changes to the code
- Submit a pull request with your changes
Career center
Learners who complete RStudio for Six Sigma - Control Charts will develop knowledge and skills
that may be useful to these careers:
Six Sigma Black Belt
Six Sigma Black Belt
Six Sigma Black Belts are responsible for leading and implementing Six Sigma projects, which are designed to improve the quality and efficiency of products and services. This course may be useful to a Six Sigma Black Belt by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Quality Assurance Analyst
Quality Assurance Analyst
Quality Assurance Analysts identify and solve problems that may arise during the production process to ensure that products meet specifications. This course may be useful to a Quality Assurance Analyst by providing an overview of Statistical Process Control (SPC) and how to use control charts to monitor and maintain the quality of products or services.
Process Engineer
Process Engineer
Process Engineers design and improve processes to ensure that they are efficient and effective. This course may be useful to a Process Engineer by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Industrial Engineer
Industrial Engineer
Industrial Engineers design and improve industrial processes to ensure that they are efficient and effective. This course may be useful to an Industrial Engineer by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Manufacturing Engineer
Manufacturing Engineer
Manufacturing Engineers design and improve manufacturing processes to ensure that they are efficient and effective. This course may be useful to a Manufacturing Engineer by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Quality Engineer
Quality Engineer
Quality Engineers work to improve the quality and efficiency of products and services. This course may be useful to a Quality Engineer by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Production Manager
Production Manager
Production Managers are responsible for the production of goods and services. This course may be useful to a Production Manager by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Operations Manager
Operations Manager
Operations Managers are responsible for the day-to-day operations of a business. This course may be useful to an Operations Manager by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Quality Control Inspector
Quality Control Inspector
Quality Control Inspectors are responsible for inspecting products and services to ensure that they meet specifications. This course may be useful to a Quality Control Inspector by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Statistician
Statistician
Statisticians collect, analyze, and interpret data to help businesses make better decisions. This course may be useful to a Statistician by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Data Analyst
Data Analyst
Data Analysts collect, analyze, and interpret data to help businesses make better decisions. This course may be useful to a Data Analyst by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Project Manager
Project Manager
Project Managers are responsible for planning, executing, and closing projects. This course may be useful to a Project Manager by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Business Analyst
Business Analyst
Business Analysts help businesses improve their performance by identifying and solving problems. This course may be useful to a Business Analyst by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
Software Quality Assurance Engineer
Software Quality Assurance Engineer
Software Quality Assurance Engineers are responsible for ensuring that software meets specifications. This course may be useful to a Software Quality Assurance Engineer by providing an overview of SPC and how to use control charts to monitor and maintain the quality of software.
Quality Management Consultant
Quality Management Consultant
Quality Management Consultants help businesses improve their quality management systems. This course may be useful to a Quality Management Consultant by providing an overview of SPC and how to use control charts to monitor and maintain the quality of products or services.
For more career information including salaries, visit:
OpenCourser.com/course/vtk5ph/rstudio
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
RStudio for Six Sigma - Control Charts.
Comprehensive guide to Six Sigma, including a detailed discussion of control charts. It valuable resource for those who want to learn more about the practical application of Six Sigma.
Provides a comprehensive overview of statistical quality control, including a detailed discussion of control charts. It valuable resource for those who want to learn more about the theoretical foundations of statistical quality control.
Provides a comprehensive guide to Six Sigma, including a detailed discussion of control charts. It valuable resource for those who want to learn more about the practical application of Six Sigma.
Provides a comprehensive overview of statistical process control in manufacturing. It valuable resource for those who want to learn more about the theoretical foundations of statistical process control in manufacturing.
Provides a comprehensive overview of statistical quality control. It valuable resource for those who want to learn more about the theoretical foundations of statistical quality control.
Provides a simplified overview of SPC. It useful primer for those who want to learn more about SPC without getting bogged down in the details.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/vtk5ph/rstudio
Share
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Effort
2 hours
Level
Introductory
Via
Coursera
Institution
Coursera Project Network
Instructor
Moses Gummadi
Language
English
Good to know
Delves into essential topics of process control, such as data types, statistical process control, and control chart selection
Offers practical insights through a project-based structure, allowing learners to apply their learnings
Suitable for learners involved in process improvement or quality assurance roles
Taught by Moses Gummadi, an experienced instructor in the field of Six Sigma
Assumes prior knowledge in statistics and process control, which may not be suitable for complete beginners
Focuses primarily on control charts, so learners seeking a broader understanding of Six Sigma may need to supplement with other resources
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