Course Catalog

Apply AI to Data Analysis, Quality Tools, Flowcharts, Audit Checklists, and SOP Development

In an era of increasing complexity and rapid change, quality professionals are expected to do more with less; faster, smarter, and with greater precision. This hands-on course equips modern quality management leaders with the skills to integrate ChatGPT and GPT-4o into their daily work, dramatically improving efficiency, insight, and communication across the quality function.

Whether you're writing procedures, conducting audits, performing root cause analysis, or preparing reports, ChatGPT can act as your intelligent assistant, guiding, drafting, analyzing, and even visualizing data. This course provides not just theory, but also immediately applicable skills, customized GPTs, and practical examples from manufacturing, service, and regulated industries.

What You'll Learn:

1. How ChatGPT works, including the differences between GPT-4o, GPT-4.5, and custom GPTs
2. How to use AI for root cause analysis using structured 5 Whys and Fishbone methods
3. How to generate and interpret the 7 Basic Quality Tools with AI, including charts and visual aids
4. How to build flowcharts and process maps using AI-powered tools
5. How to create audit checklists, simulate auditor questions
6. How to write or revise SOPs, policies, and work instructions using ISO 9001 aligned formats
7. Best practices for prompt engineering and building GPTs tailored to your quality needs
8. How to balance AI assistance with human judgment for reliable, defensible outputs

Tools and Features You'll Use:

1. ChatGPT Plus (GPT-4o access at $20/month recommended)
2. Custom GPTs designed for Fishbone Analysis, Flowchart Design, and Data Visualization
3. Live examples using uploaded files (CSV, Excel, etc.) for charting and analysis
4. Templates and prompt guides for audits, procedures, RCA, and training content

Who Should Take This Course:

1. Quality Managers, Engineers, and Auditors
2. Operational Excellence and Continuous Improvement Professionals
3. Process Owners, Trainers, and Quality System Leads
4. Anyone responsible for quality documentation, reporting, or analysis

Outcome:

By the end of this course, you will be equipped to use AI as a strategic extension of your quality role, saving hours of manual effort, increasing the quality of your outputs, and driving smarter decisions through data, structure, and insight.

Welcome to the Most Comprehensive Lean Six Sigma Green Belt Course! With 24 hours of in-depth video content, this course covers the full scope of Lean Six Sigma Green Belt (LSSGB) concepts. Unlike other courses that only skim the surface, this course dives deep into the internationally accepted Body of Knowledge. This updated version includes 18 new videos added in June 2022 to align with the updated ASQ® CSSGB Body of Knowledge (BoK).

Why This Course?

• Experienced Instructor: Learn from Sandeep Kumar, an expert with 35 years of practical experience in Quality Management and Continuous Performance Improvement.
• Extensive Coverage: The course fully aligns with the Lean Six Sigma Green Belt BoK provided by most internationally recognized certification bodies.
• Proven Success: Join over 6,000 satisfied students who have taken this course in its second release, and 14,000 students from the first release.
• Comprehensive Content: This course covers everything you need to know to pass the CSSGB, LSSGB, or any other Green Belt certification exam, or to become an effective Green Belt leader in your organization.
• Interactive Learning: Engage with 150 quiz questions across sections to reinforce your understanding.

Course Structure:

Section 1: Overview - Six Sigma and the Organization

• Six Sigma and Organizational Goals: Align Six Sigma projects with business objectives.
• Lean Principles: Incorporate Lean methodologies to enhance efficiency.
• Design for Six Sigma (DFSS): Understand DFSS methodologies for designing robust processes and products.

Section 2: Define Phase

• Project Identification: Learn to select and define Six Sigma projects.
• Voice of the Customer (VOC): Capture and translate customer needs into project goals.
• Project Management Basics: Master the essentials of managing Six Sigma projects.
• Management and Planning Tools: Utilize tools for effective project planning and execution.
• Business Results for Projects: Measure the financial impact of Six Sigma projects.
• Team Dynamics and Performance: Foster high-performing project teams.

Section 3: Measure Phase

• Process Analysis and Documentation: Document and analyze processes for improvement.
• Probability and Statistics: Grasp fundamental statistical concepts.
• Statistical Distributions: Understand different statistical distributions and their applications.
• Collecting and Summarizing Data: Learn methods for data collection and summarization.
• Measurement System Analysis (MSA): Assess and improve measurement systems.
• Process and Performance Capability: Evaluate process performance and capability.

Section 4: Analyze Phase

• Exploratory Data Analysis: Explore data to uncover patterns and insights.
• Hypothesis Testing: Conduct hypothesis tests to validate assumptions.

Section 5: Improve Phase

• Design of Experiments (DOE): Design and analyze experiments to optimize processes.
• Root Cause Analysis: Identify and eliminate root causes of problems.
• Lean Tools: Apply Lean tools to streamline processes.

Section 6: Control Phase

• Statistical Process Control (SPC): Implement SPC to monitor process performance.
• Control Plan: Develop control plans to sustain improvements.

What Are Other Students Saying About This Course?

• "I have taken multiple courses with Sandeep. Really amazing instructor; straight to the point, examples with each concept and most importantly covering all Body-of-Knowledge requirements." - 5 stars by Mohamed Khatib
• "Excelente curso y buen instructor, recomendable." - 5 stars by Ivan Sanchez Orozco
• "I actually took a relatively low-priced course before taking this course. And attempted a couple of mock tests, it was a disaster. I was quite lucky to come across this course later. I cleared my ASQ CSSGB with thumping confidence. During the entire course, I was amazed at the grip Mr. Sandeep had on each and every topic. He is making a difference in the lives of a lot of professionals in enhancing their career prospects. A big thank you to him." - 5 stars by Mucheli Thulasirami Reddy (MTR)
• "Great Course !!! I have passed the IASSC- CSSGB exam on the first attempt. I would recommend this course to anyone who wants to clear the CSSGB exam with confidence and on the first attempt." - 5 stars by Sandeep Joshi
• "Covers everything there is to know about the ASQ Six Sigma Green Belt Body of Knowledge." - 5 stars by Josue Alcantara
• "It is a really good course. As I am preparing for ASQ CSSGB, this course helps me a lot in preparation." - 5 stars by Neha Saste
• "Out of many courses available for LSSGB, I find this to be the best to have a total grip over the entire curriculum." - 5 stars by Rajeev R Prasad
• "Passed my ASQ CSSGB on the first attempt by learning through this course and reading the ASQ CSSGB Handbook." - 5 stars by Sanni Rose Tumambing

Note: We are not a representative of ASQ, IASSC, or any other certification organization. ASQ is the registered trademark of the American Society for Quality. IASSC is the registered trademark of the International Association for Six Sigma Certification.

Welcome to the most comprehensive Quality Engineering course! With 38 hours of detailed video content, this course covers the complete Body of Knowledge required for Certified Quality Engineer (CQE) certification. In July 2022, we added 23 new videos to reflect the updated CQE BoK. Whether you aim to pass a Quality Engineer certification exam or excel as a Quality Engineer in your organization, this course is designed for you.

Why This Course?

• Expert Instructor: Learn from Sandeep Kumar, who has 35 years of practical experience in Quality Management and Continuous Performance Improvement.
• Proven Success: Join over 5,700 satisfied students who have benefited from this course.
• Comprehensive Coverage: This course fully aligns with the Certified Quality Engineer (CQE) Body of Knowledge.
• Interactive Learning: Engage with 175 quiz questions to reinforce your understanding.

Are You Preparing for the Certified Quality Engineer (CQE) Exam?

• Do you struggle with statistics and complex concepts like the central limit theorem, probability distributions, hypothesis testing, and design of experiments?
• Wish someone could explain these topics in plain and simple terms?

If this sounds familiar, this course is tailored for you. We break down complex topics into easy-to-understand language at an affordable price.

What Are Other Students Saying About This Course?

• "I had my CQE exam yesterday and passed on my first attempt! This content was spot on and very helpful for taking the exam. Thanks a bunch!" - 5 stars by David Gonzalez
• "Yes, it was a great match. Just wished I found it sooner." - 5 stars by Amos Battoo
• "I went through this course and it exceeded my expectations, as I passed my CQE exams at a sitting. Sandeep dissected the CQE handbook for easy understanding and provided well-grounded knowledge on the modules. Highly recommended!" - 5 stars by Ndubuisi N Ogbuezi
• "I have cleared ASQ CQE on my 1st attempt. This course helped me understand basic concepts through Mr. Sandeep's simple examples." - 5 stars by Sarath K Jolly
• "Best affordable online lectures for passing the CQE exam. Thanks to Sandeep, I passed my CQE exam by reviewing this course multiple times." - 5 stars by Sudhakar Thamodharan
• "Just took my CQE exam and this class is definitely the reason I passed on the first try." - 5 stars by Hilary High
• "I really liked the way complex topics are simplified by Sandeep Sir." - 5 stars by Babeeta Nautiyal
• "This preparation course helped me clear my ASQ CQE exam." - 5 stars by Vivek S A
• "I have passed the CQE successfully. This course is more than helpful to crack it." - 5 stars by Manohar Thummapudi
• "I learned a lot from this course and it helped me pass my CQE exam." - 5 stars by Jose Cortes
• "This course explains the Body of Knowledge in a very clear and comprehensive manner. I cleared my CQE exam on the first attempt." - 5 stars by Dupinderjit Singh
• "Excellent course, it has helped me a lot for preparing for the CQE exam. Totally recommended." - 5 stars by Miroslav Vulinovic
• "I have not taken the CQE test yet but with my notes from this training, I hope it will be enough to pass." - 5 stars by Priscilla Acquah

What Is Covered in This Course? Master the advanced concepts of Quality Engineering at your own pace and add value to your organization by improving existing processes. The course includes:

1. Management & Leadership
2. The Quality System
3. Product & Process Design
4. Product & Process Control
5. Continuous Improvement
6. Quantitative Methods & Tools
7. Risk Management

Key Features:

• Comprehensive Videos: Short and easy-to-understand videos covering the complete Body of Knowledge.
• Downloadable Materials: Lecture slides available for download after each section.
• Interactive Quizzes: Quiz questions after each section to test your understanding.
• Support: Ask questions in the Q&A section.
• Satisfaction Guaranteed: 30-day money-back policy with no questions asked.
• Certificate of Completion: Provided upon course completion.

What Are You Waiting For? This course comes with Udemy's 30-day money-back guarantee. If you are not satisfied, get your money back. Join us and become a Quality Engineering hero!

Note: We are not a representative of ASQ®, IASSC®, or any other certification organization. ASQ® is the registered trademark of the American Society for Quality. IASSC® is the registered trademark of the International Association for Six Sigma Certification. We are an independent training provider and are not associated with these organizations. The names and titles of the certification exams mentioned in this course are trademarks of the respective certification organizations, used here only for descriptive purposes.

Welcome to "Design and Analysis of Experiments (DoE)," a comprehensive course designed to take you from the basics to the intermediate level of understanding and applying DoE principles. This course is crafted for learners from various sectors, using simple case studies such as coffee tasting and catapult experiments to ensure a clear focus on core concepts.

Why Choose This Course?

• Systematic Approach: Learn the systematic approach to studying the relationship between various inputs (factors) and key outputs (responses).
• Hands-On Learning: Engage with manual calculations on simpler processes to build a solid foundation in DoE.
• Sector-Neutral Case Studies: Focus on fundamental concepts through easy-to-understand examples.
• Statistical Knowledge: A quick refresher on ANOVA and Regression Analysis ensures you have the necessary background to interpret DoE results.

Course Structure: This course consists of video lectures, readings, and quizzes that build upon each other to ensure you gain a firm grasp of the topics covered.

Topics Covered:

Section 1: Basics of Design of Experiments

• Understand common terms used in DoE.
• Learn about factorial and partial factorial designs through the coffee tasting example.
• Explore the catapult experiment to understand process variation.
• Other key concepts include Blocking, Analysis of Covariance, Replication, Confounding, and Design Resolutions.

Section 2: ANOVA and Regression

• Review these critical statistical principles to provide sufficient knowledge for interpreting experimental results.

Section 3: Screening, Modelling, and Optimizing

• Screening: Use Plackett-Burman Design to reduce the number of factors to be studied.
• Modelling: Apply full factorial, fractional factorial, and Split Plot Designs (for Hard to Change Factors).
• Optimizing: Optimize processes using Central Composite Design (CCD).

Who This Course Is For:

• Quality Engineers
• Quality Managers
• All Engineers
• Performance Improvement Professionals
• Anyone who wants to understand the behavior of complex processes to achieve desired outcomes

What You'll Learn:

• Fundamentals of the Design of Experiments (DoE) using simple, understandable examples.
• Techniques for Screening (Plackett-Burman), Modelling (Full, Fractional Factorial, and Split Plot Designs), and Optimizing (Central Composite Design) Designs.
• A quick refresher on ANOVA and Regression Analysis to help you clearly understand analysis results.
• A clear understanding of Blocking, Analysis of Covariance, Replication, Confounding, and Design Resolutions.

Enroll Now: Join us in this comprehensive course to master the principles and applications of the Design of Experiments, and take your understanding of quality and process improvement to the next level. Enroll now and start your journey to becoming proficient in DoE!

Welcome to "Mastering the Seven Basic Quality Improvement Tools," a comprehensive course designed to equip you with the foundational knowledge and practical skills to solve quality-related problems using the seven basic quality tools proposed by Kaoru Ishikawa. These tools have stood the test of time, remaining relevant and effective for over 50 years. By leveraging modern computing power and Microsoft Excel, this course will teach you how to apply these tools in today's automated data collection environment.

What You'll Learn:

• Seven Basic Quality Tools: Understand and apply the seven quality tools (Cause and Effect Diagram, Check Sheet, Control Chart, Histogram, Pareto Chart, Scatter Diagram, Flow Chart) to solve more than 90% of quality-related problems.
• Historical and Modern Application: Learn the historical significance of these tools and how they can be adapted to modern environments with automated data collection.
• Excel Integration: Use Microsoft Excel to enhance the application of these tools, taking their power to the next level.
• Practical Case Studies: Apply the tools through practical case studies, understanding their use in real-world situations.

Course Structure: This course includes video lectures, practical exercises, and case studies to reinforce learning and ensure a thorough grasp of the seven basic quality tools.

Detailed Topics Covered:

Section 1: Introduction to the Seven Basic Quality Tools

• Historical Background: Learn about Kaoru Ishikawa and the post-war industrial revolution that led to the development of these tools.
• Relevance Today: Understand why these tools are still relevant and how they have evolved with modern technology.

Section 2: Understanding and Applying Each Tool

• Cause and Effect Diagram: Identify root causes of problems and organize them in a fishbone diagram.
• Check Sheet: Collect and analyze data systematically, transitioning from manual to automated data collection with Excel.
• Control Chart: Monitor process stability and control with control charts, ensuring consistent product quality.
• Histogram: Visualize data distribution to identify patterns and variations.
• Pareto Chart: Prioritize problems and identify the most significant factors affecting quality.
• Scatter Diagram: Analyze relationships between variables to identify potential causes of quality issues.
• Flow Chart: Map out processes to understand workflows and identify areas for improvement.

Section 3: Additional Tools

• Run Chart: Track data over time to identify trends and shifts.
• Stratification: Separate data to identify patterns within different categories.

Section 4: Practical Application Through Case Studies

• Case Study 1: Analyze and solve a high repair rate problem in a painting job, focusing on rework and waste reduction.
• Case Study 2: Use Control Charts to ensure product dimensions meet required specifications, demonstrating process control and improvement.

Certification: Students who complete this course have the option to apply for the certification exam by Quality Gurus Inc. and achieve the Verified Certification. This certification is optional and free of charge.

Who This Course Is For:

• Quality Engineers
• Project Managers
• Production Supervisors
• Process Improvement Professionals
• Anyone involved in quality management and improvement

Enroll Now: Join us in mastering the seven basic quality improvement tools and enhance your ability to solve quality-related problems effectively. Gain practical skills and knowledge to apply these timeless tools in today's dynamic environments. Enroll now and take the first step towards becoming a quality improvement expert!

Welcome to the "Root Cause Analysis and the 8D Problem Solving Bootcamp," a comprehensive course designed to equip you with the skills and tools needed to perform effective root cause analysis and implement permanent corrective actions. This course covers four broad strategies for Root Cause Analysis (RCA) and problem-solving, providing a deep dive into more than 40 tools and proven approaches to ensure problems are eliminated permanently.

What You'll Learn:

• Root Cause Analysis (RCA): Master the techniques to identify and eliminate the root cause of problems permanently.
• Choosing the Right Tools: Learn to select the most appropriate tools for RCA from a wide range of options.
• Problem-Solving Tools: Gain knowledge of over 40 tools that can be used for effective problem-solving.
• Proven Problem-Solving Approaches: Understand and apply proven approaches for solving problems effectively.
• Permanent Corrective Actions: Implement corrective actions that prevent problems from recurring.

Course Structure: This course includes video lectures, practical exercises, and real-world examples to help you understand and apply RCA and problem-solving techniques effectively.

Detailed Topics Covered:

Section 1: Introduction to Root Cause Analysis (RCA) and Problem-Solving

• Understanding RCA: Learn the importance and fundamentals of Root Cause Analysis.
• Choosing the Right Approach: Understand how to select the appropriate RCA approach based on problem complexity.

Section 2: Four Broad Strategies for RCA and Problem-Solving

1. Five Why's: A simple yet powerful technique to get to the root cause of a problem by asking "Why" multiple times.
2. Cause and Effect Diagram: Visualize the potential causes of a problem using a fishbone diagram.
3. A3 Problem Solving Approach: A structured approach to problem-solving that includes documenting the process on an A3-sized paper.
4. Eight Disciplines (8D) Problem Solving Approach: A detailed method for solving complex problems that involves eight disciplined steps.

Section 3: Tools and Techniques for Problem-Solving

• Seven Basic Quality Tools: Cause and Effect Analysis, Flow Chart, Check Sheet, Pareto Chart, Scatter Plot, Control Charts, and Histograms.
• Descriptive Statistics: Mean, Mode, Median, Range, and Standard Deviation.
• Graphs and Charts: Box and Whisker Plot, Individual Value Plot, Bar Chart, Pie Chart, Bubble Chart, Matrix Plot, and Time Series.
• Value Stream Mapping: Visualize and analyze the flow of materials and information.

Section 4: Detailed Tools for Each Discipline of 8D

• D1: Establish the Team: Team Roles, Team Stages, Conflict Management, and Negative Team Behaviors.
• D2: Describe the Problem: 5W2H, SIPOC, Gemba Walk, and Stakeholder Analysis.
• D3: Interim Containment: Identification and Traceability.
• D4: Root Cause Analysis: Brainstorming, Nominal Group Technique, and Affinity Diagram.
• D5: Develop Corrective Actions (CA): Poka-yoke, Force Field Analysis, Control Plan, and Benefit-Cost Analysis.
• D6: Implement CA: Gantt Chart, RACI Matrix, Reports, and Dashboard.
• D7: Prevent Recurrence: Failure Mode and Effects Analysis (FMEA).
• D8: Recognize the Team: Celebrate success.

Who This Course Is For:

• Quality Engineers
• Quality Managers
• Production Supervisors
• Process Improvement Professionals
• Anyone involved in problem-solving and root cause analysis

Enroll Now: Join us in this comprehensive bootcamp to master the skills and tools needed for effective root cause analysis and problem-solving. Learn to implement permanent corrective actions and prevent problems from recurring. Enroll now and take the first step towards becoming an RCA and problem-solving expert!

In this course, I will teach you one of the most commonly used classification techniques in data science, machine learning and statistics and that is: Binary Logistic Regression.

A binomial logistic regression is used to predict the binary output (yes/no, true/false, sick/healthy) based on one or more continuous independent variables. It is often referred to as logistic regression. However, in Minitab, it is called binary logistic regression.

I will use Minitab 19 to perform the analysis. The focus of my teaching will be on explaining the theoretical concepts and on analyzing and interpreting the results of the analysis.

Performing Binary Logistic Regression in Minitab is easy. It is just a few selections and clicks and you are done with it. However, the difficult part is understanding and interpreting the results.

The following concepts are covered in this course:

• The purpose of Binary Logistic Regression

• The concept of Odds and ln(Odds)

• Logistic Regression Equation

• Odds Ratio

• Confusion Matrix

• Receiver Operating Characteristic (ROC) Curve

• R-Squared in context of Logistic Regression

• Hosmer-Lemeshow Goodness of Fit Test

• Project work to practice all the above concepts

In the project work, marketers at a cereal company investigate the effectiveness of an ad campaign for a new cereal. Three factors considered in this project are the income, whether the person has seen the advertisement and whether the person has kids in the house.

Here we performed binary logistic regression to determine whether people who saw the ad are more likely to buy the cereal.

After completing this course, you will be easily able to perform the logistic regression, select the model.

Welcome to the "Enterprise Risk Management" course, designed to provide a comprehensive understanding of risk management concepts in a simple and accessible language. This course covers not only the fundamental definitions and concepts related to risk management but also practical steps to implement risk management in an organization effectively.

What You'll Learn:

• Five Steps of Managing Risk: Understand the five crucial steps of risk management: Planning for Risk Management, Identifying Risks, Analyzing Risks, Planning and Implementing Risk Responses, and Monitoring and Controlling Risks.
• Risk Register: Learn how to record identified risks in a risk register and analyze them using quantitative or qualitative techniques.
• Probability and Impact Matrix: Gain proficiency in using the Probability and Impact Matrix, a commonly used qualitative technique for risk analysis.
• Positive and Negative Risks: Explore approaches to address both negative risks and positive opportunities.
• Risk-Based Thinking: Understand the requirement of ISO 9001:2015 to apply risk-based thinking to all processes.

Course Structure: This course includes video lectures, practical examples, and templates to help you implement risk management in your organization. The course is structured into three main sections:

Section 1: Introduction to Risk Management

• Defining Risk: Learn what risk is and how it differs from issues.
• Risk Appetite and Tolerance: Understand the concepts of risk appetite and tolerance.
• Defining Risk Management: Get a clear definition of risk management and its principles.
• Application of Risk Management: Explore how to apply risk management in various contexts.

Section 2: Five Simple Steps

• Plan Risk Management: Learn to develop a risk management plan.
• Identify Risks: Understand techniques for identifying potential risks.
• Analyze Risks: Use quantitative and qualitative techniques to analyze risks.
• Plan and Implement Risk Responses: Develop and implement effective risk response plans.
• Monitor and Control Risks: Learn to monitor and control risks continuously.

Section 3: Conclusion

• Risk Register: Utilize the provided risk register template to record and track risks.
• Risk-Based Thinking: Apply risk-based thinking as required by ISO 9001:2015.
• Failure Mode and Effects Analysis (FMEA): Understand and apply FMEA in risk management.

Testimonials: What are other students saying about this course?

★★★★★ "The course is really helpful. It gives a comprehensive picture of ERM and has specific examples so I can understand it easily." - Hoa Thi Tran

★★★★★ "The course was a good match for me based on the task which I am currently doing." - Suzan Shuma

★★★★★ "Overall, it’s a great concept refresh exercise to listen in and get pointers on practices that we forget or don’t execute on our projects." - Omar Mendez

★★★★★ "Very well structured presentation." - Chigozie Okonkwo

★★★★★ "Clear and succinct introduction to risk management which can be immediately applied to your workplace. The study notes are great!" - Phua Li Ern Eleanor

Who This Course Is For:

• People new to risk management.
• Quality managers and individuals associated with quality management, especially those interested in ISO 9001:2015.
• Employees in industries such as financial, medical, technology, research, military, insurance, or any other sector subjected to risk.

Enroll Now: What are you waiting for? This course comes with Udemy's 30-day money-back guarantee. If you are not satisfied with the course, get your money back. Enroll now and take the first step towards mastering enterprise risk management!

Welcome to "Statistics for Data Analysis Using Excel 2016," a comprehensive course designed to teach you both descriptive and inferential statistics through simple yet practical examples. This course will show you how to harness the power of Microsoft Excel to perform statistical calculations effortlessly, eliminating the need to memorize long formulas and equations. By the end of this course, you will be able to use statistics to solve business problems and make fact-based decisions.

What You'll Learn:

• Descriptive and Inferential Statistics: Understand and apply statistical concepts from basic to advanced levels.
• Microsoft Excel Proficiency: Use Excel to perform statistical calculations, making data analysis straightforward and efficient.
• Data Interpretation: Make sense of vast amounts of data to make informed decisions based on factual analysis.
• Data Visualization: Learn to create and interpret histograms, box and whisker plots, and scatter plots to visualize data effectively.

Course Structure: This course includes video lectures, practical exercises, and examples to help you understand and apply statistical concepts using Microsoft Excel.

Detailed Topics Covered:

Section 1: Introduction to Statistics and Data Analysis

• Basic Concepts: Learn the foundational concepts of statistics and data analysis.
• Excel for Data Analysis: Get introduced to using Excel for statistical calculations and data analysis.

Section 2: Descriptive Statistics

• Measures of Central Tendency: Calculate and interpret mean, mode, and median.
• Measures of Spread: Understand and compute quartiles, range, interquartile range, and standard deviation.

Section 3: Data Visualization

• Histograms: Create and interpret histograms to understand data distribution.
• Box and Whisker Plots: Use box plots to visualize data spread and identify outliers.
• Scatter Plots: Analyze relationships between variables using scatter plots.

Section 4: Probability

• Basic Probability Concepts: Understand permutations, combinations, and basic probability.
• Probability Distributions: Explore normal, binomial, and Poisson distributions and their applications.

Section 5: Population and Sampling

• Understanding Populations and Samples: Learn the difference between populations and samples.
• Sampling Techniques: Discover various sampling methods and their importance in statistics.

Section 6: Hypothesis Testing

• One Sample Tests: Conduct one-sample z-tests, t-tests, and p-tests.
• Two Sample Tests: Perform two-sample z-tests, t-tests, and p-tests.
• F Test and Chi-Square Test: Understand and apply these tests for hypothesis testing.

Section 7: Analysis of Variance (ANOVA)

• ANOVA Basics: Learn to perform Analysis of Variance (ANOVA) step by step.
• Manual Calculations and Excel: Conduct ANOVA calculations manually and using Excel to understand the process thoroughly.

Testimonials: What are other students saying about this course?

★★★★★ "Very structured and clear lessons on how each Excel function can be used for different statistical analysis. I have benefited tremendously from attending this course." - Kang Han Qi

★★★★★ "I have learned a lot already and it is still a long way to go!" - Dennis Dominic Mendoza

★★★★★ "Great course, great synergy between theory and practical use." - Patrick Silangit

★★★★★ "This is awesome and really easy to understand the statistical concepts without any stress for a guy like me who used to fail in math classes." - Lester Deepak Martis

★★★★★ "He's better than all my university lecturers, very clear, concise, and seamless progression of the evolution of concepts in a systematic way that makes it easy to understand...Bravo!!" - Ayanda Peter

★★★★★ "A well-planned curriculum, fantastic resources for downloads, professionally presented slides, very easy to understand, truly the best course for every financial analyst." - Arumugam K Chandrasekar

★★★★★ "I am a fan of his teachings. It is recommended to every other person who is not confident in Statistics and wants to be a pro." - Apnatav Bhatia

★★★★★ "Brilliant course. Takes the difficult, sometimes even boring statistics model and breaks them into easy bite-sized portions. Explains the theory behind it and then the Excel way of doing it." - Karthikeyan Stalin

★★★★★ "The self-study step by step and the Excel examples are very great. I can follow the course and practice on my computer alongside. Thank you for putting this whole thing together. Not a very exciting subject to teach so I appreciate being able to put this long course together to make it easy for people like us to utilize and study." - Dr. Stanley Adjabeng

Who This Course Is For:

• Business Analysts
• Data Analysts
• Financial Analysts
• Students and professionals looking to enhance their data analysis skills using Excel
• Anyone interested in learning statistics to make data-driven decisions

Welcome to "Six Sigma Statistics Using Minitab 17," a comprehensive course designed to provide you with a solid understanding of the most commonly used statistical concepts in Six Sigma. This course will teach you how to apply these concepts using Minitab 17 software, enabling you to perform effective statistical analysis for your Six Sigma projects.

Why This Course?

• Expert Instruction: Learn from an experienced instructor with 35 years of practical experience in implementing Quality Management and Continuous Performance Improvement.
• Comprehensive Coverage: This course covers a wide range of topics, from basic to advanced statistical concepts.
• Practical Application: Gain hands-on experience using Minitab 17 for your Six Sigma Green and Black Belt projects.
• Continual Learning: Even though Minitab has been updated, the concepts taught in this course remain applicable to the latest versions of the software.

Course Structure: The course is designed to first explain the statistical concepts in plain and simple terms and then show how to implement these concepts using Minitab 17. You will learn through short, easy-to-understand video lessons and quizzes. A discussion forum is also available for addressing specific problems and issues.

Detailed Topics Covered:

• Basic Statistical Concepts: Understand the fundamentals of statistics, including measures of central tendency and variability.
• Measurement System Analysis (MSA): Learn how to perform MSA and Gage R&R studies to ensure your measurement systems are accurate and reliable.
• Hypothesis Testing: Conduct hypothesis tests to make data-driven decisions. Learn about z-tests, t-tests, F-tests, and Chi-Square tests.
• ANOVA: Perform Analysis of Variance (ANOVA) to identify significant differences between groups.
• Design of Experiments (DOE): Understand the principles of DOE and how to apply them to optimize processes and improve quality.

What You'll Learn:

• Descriptive Statistics: Calculate and interpret mean, median, mode, range, and standard deviation.
• Data Visualization: Create and interpret charts and graphs, such as histograms and scatter plots, using Minitab.
• Inferential Statistics: Apply inferential statistics to draw conclusions from data and make predictions.
• Advanced Statistical Techniques: Master advanced techniques like regression analysis, control charts, and capability analysis.

Testimonials: What are other students saying about this course?

★★★★★ "Easy to understand and hands-on exercises." - Forest SL Zhang

★★★★★ "I highly recommend it if you want to improve your analysis skill on Minitab 17. Probably the most complete course about it on Udemy." - Marcos de Morais Silva

★★★★★ "This helped me to get my statistics concepts cleared from the basics! Also, this assisted me to learn various concepts related to MINITAB software." - Vishwesh Kumar Jha

★★★★★ "I'd recommend this course to anybody aspiring for Lean Six Sigma Green Belt or Black Belt." - Matt Rold

★★★★★ "Steady Paced & Interactive Course Content." - Shashank Dubey

Who This Course Is For:

• Six Sigma Green Belt and Black Belt candidates.
• Quality Engineers and Managers.
• Data Analysts and Business Analysts.
• Anyone interested in learning statistical analysis using Minitab.

Enroll Now: Join us in this comprehensive journey to master Six Sigma statistics using Minitab 17. Learn the skills you need to perform effective statistical analysis and drive quality improvement in your organization. Enroll now and take the first step towards becoming a Six Sigma expert!