What Is a Management Information System (MIS)? Your Career Guide
January 14, 2025
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This course is part of Six Sigma Green Belt Specialization
Instructors: Christina Scherrer, PhD
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This course is for you if you are looking to dive deeper into Six Sigma or strengthen and expand your knowledge of the basic components of green belt level of Six Sigma and Lean. Six Sigma skills are widely sought by employers both nationally and internationally. These skills have been proven to help improve business processes and performance. This course will take you deeper into the principles and tools associated with the "Define" and "Measure" phases of the DMAIC structure of Six Sigma.
It is highly recommended that you complete the "Yellow Belt Specialization" and the course "Six Sigma and the Organization (Advanced)" before beginning this course. In this course, your instructors will introduce you to, and have you apply, some of the tools and metrics that are critical components of Six Sigma. This course will provide you with the advanced knowledge of team dynamics and performance, process analysis, probability, statistics, statistical distributions, collecting and summarizing data, measurement systems analysis, process and performance capability, and exploratory data analysis associated with Six Sigma and Lean. Every module will include readings, videos, and quizzes to help make sure you understand the material and concepts that are studied. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Green Belt Handbook (2nd edition). The companion text is NOT required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly-recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).
This module is a Yellow Belt Refresher Area, since some learners may have entered this course without having taken the previous yellow belt material. This refresher area does not serve as a "replacement" for taking the yellow belt specialization. It is only a "patch" for those who already have some knowledge of six sigma, but find the yellow belt specialization to be too introductory for their current situation. If you find yourself struggling with the green belt material in this course, it is highly recommended that you travel through the yellow belt specialization before attempting the green belt content. In this module you will learn about team development, different types of teams, tools for decision making, and tools for communication.
7 videos
In this module you will learn the application of process maps and flow charts swim lane. You will also about the application of: written procedures and works instructions, CEDAC, the Pareto diagram, and the relationship matrix.
7 videos1 reading2 assignments
In this module, you will learn how mutually-exclusive events and independent events relate to probability. You will also learn how to solve basic probability problems, including those that require the addition, multiplicative, and conditional rules of probability.
5 videos2 assignments
In this module, you will learn how to solve probability problems related to combinations and permutations. You will also learn about central limit theorem and how to apply it to the concept of confidence intervals. This module also touches on descriptive and inferential statistics.
4 videos2 assignments
In this module, you will learn about the basic characteristics of probability distributions. You will also learn about binomial, normal, Poisson, t-, chi-square, and F-distributions.
7 videos2 assignments
In this module, you will learn the different types and sources of data. You will also learn: how to classify groups of data for descriptive statistics analysis, different ways to graphically display data, how to express the importance of measurement systems analysis, and the difference between precision and accuracy. This module also begins with a Yellow Belt Refresher Area, since some learners may have entered this course without having taken the previous yellow belt material. This refresher area does not serve as a "replacement" for taking the yellow belt material. It is only a "patch" for those who already have some knowledge of six sigma, but find the yellow belt specialization to be too introductory for their current situation. If you find yourself struggling with the green belt material in this course, it is highly recommended that you travel through the yellow belt specialization before attempting the green belt content.
8 videos4 assignments
In this module, you will learn how to use statistical tools and analyze data, including skills like: how to distinguish between natural process limits and specification limits, how to calculate the value of Cp and Ck, how to deal with process capability studies. This module also addresses multi-vari studies, the the correlation coefficient, and linear regression.
8 videos4 assignments
We asked all learners to give feedback on our instructors based on the quality of their teaching style.
Kennesaw State is a Carnegie-designated doctoral research institution (R2), placing it among an elite group of only 6 percent of U.S. colleges. A leader in innovative teaching and learning, KSU is making an impact across the region, the nation and around the world. As the third largest university in the state of Georgia, Kennesaw State has nearly 45,000 students enrolled in over 180 undergraduate, master’s, doctoral degree and certificate programs.
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Kennesaw State University
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Kennesaw State University
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Kennesaw State University
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Reviewed on Jun 17, 2023
It was a lot of numbers and the formulas are hard to incorporate considering the speed of some of the videos. Other than that it was a great course, with a lot of useful content.
Reviewed on Nov 15, 2020
Lots of math. It would be a great course to take if you do statistics, or want to learn about the math behind data analysis.
Reviewed on Feb 4, 2018
Amaizing Course, I am a Business Management Engineering Student, but I'm in an exchange program actually and this course made me remember all the topics I have been studied in my Quality Classes.
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