Six Sigma Advanced Define and Measure Phases

University System of Georgia via Coursera

Go to Course: https://www.coursera.org/learn/six-sigma-define-measure-advanced

Introduction

### Course Review: Six Sigma Advanced Define and Measure Phases on Coursera #### Overview If you're looking to deepen your understanding of Six Sigma methodologies and strengthen your proficiency in Lean principles, the **Six Sigma Advanced Define and Measure Phases** course on Coursera is an excellent choice. This course is tailored for individuals who already possess basic knowledge of Six Sigma, particularly those at the Green Belt level or those who want to revisit the Yellow Belt concepts without wading through introductory content. In today’s competitive job market, Six Sigma skills are highly coveted, with organizations globally seeking professionals who can improve their business processes and performance. This course not only provides a thorough examination of the DMAIC (Define, Measure, Analyze, Improve, Control) framework but also focuses specifically on the Define and Measure phases, essential to any successful Six Sigma project. #### Course Structure & Syllabus The course comprises several comprehensive modules, each aimed at building essential skills and knowledge critical for advanced Six Sigma applications: 1. **Yellow Belt Refresher - Team Basics**: - **Content**: Familiarizes students with team development, types of teams, decision-making tools, and communication strategies. - **Remark**: Perfect for those who may have missed foundational concepts. 2. **Process Analysis and Documentation**: - **Content**: Covers process maps, flowcharts, Pareto diagrams, and tools for documenting processes. - **Benefit**: Equips learners with practical skills for visualizing and improving processes. 3. **Probability and Statistics - Parts 1 & 2**: - **Content**: Introduces the principles of probability, combinations, permutations, and the central limit theorem. - **Importance**: Essential for understanding data variability and making informed decisions. 4. **Statistical Distribution**: - **Content**: Discusses probability distributions including normal and binomial distributions. - **Value**: Offers key insights into data analysis and forecasting. 5. **Collecting and Summarizing Data & Measuring System Analysis**: - **Content**: Explores data collection methods, descriptive statistics, and the significance of measurement systems. - **Focus**: Differentiates between precision and accuracy, vital for effective data interpretation. 6. **Process and Performance Capability & Exploratory Data Analysis**: - **Content**: Teaches students how to analyze data and assess process capability through various statistical tools. - **Application**: Covers multi-vari studies, correlation coefficients, and linear regression analysis. #### Recommendations This course is ideal for professionals in quality management, operations, and business analytics who want to upgrade their skills to manage complex processes effectively. Whether you are in manufacturing, healthcare, finance, or any field that relies on data-driven decision-making, the knowledge gained from this course will be invaluable. **Pros**: - Comprehensive understanding of key Six Sigma principles. - Strong emphasis on practical applications and tools. - Flexible online format suits busy professionals. **Cons**: - A basic knowledge of Six Sigma is required; beginners may need to complete the Yellow Belt Specialization before enrolling. - The content could be dense for those not familiar with statistical methods or data analysis. In conclusion, the **Six Sigma Advanced Define and Measure Phases** course on Coursera offers an excellent opportunity to elevate your understanding of business process improvements. With its detailed syllabus and practical approach, it's highly recommended for anyone serious about mastering Six Sigma techniques and enhancing their career prospects. Whether you're looking to implement Six Sigma in your organization or simply want to stay competitive in your field, this course is a significant investment in your professional development.

Syllabus

Yellow Belt Refresher - Team Basics

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.

Process Analysis and Documentation

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.

Probability and Statistics - pt1

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.

Probability and Statistics - pt2

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.

Statistical Distribution

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.

COLLECTING AND SUMMARIZING DATA & MEASURING SYSTEM ANALYSIS

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.

PROCESS AND PERFORMANCE CAPABILITY & EXPLORATORY DATA ANALYSIS

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.

Overview

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

Skills

Reviews

Sir n maam I am so grateful for being a student of yours in this course where i got all my doubt cleared.It was mind blowing course I ever had in online platform

It was quit interesting and valuable! Several mathematical guidelines to apply to define the issue, measure and test the issues.

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.

Good course with good statistical explanations. I recommend to use this course with Data Analytics for Lean Six Sigma here in Coursera.

An interesting and challenging training. I really appreciate the excellent online training platform to be honest. Really worth my time.