Six Sigma Statistics using Minitab 19 with practice examples
Six Sigma Statistics using Minitab 19 with practice examples, available at $44.99, has an average rating of 4.3, with 74 lectures, 5 quizzes, based on 28 reviews, and has 136 subscribers.
You will learn about Students will be able to use Minitab on basic level of statistical analysis Students will be able to understand the statistical concepts of Six Sigma White Belt (basic) to Six Sigma Yellow Belt (intermediate Level) Even the hard concepts will be fun to learn with this course Helpful for aspiring students of Statistics, Mathematics, Project Management, Operational Management, Six sigma White and Yellow Belt (SSWB, SSYB) This course is ideal for individuals who are Anyone who wants to learn MINITAB and STATISTICS or Six Sigma White Belts or Six Sigma Yellow Belts or Project Management Professionals or Aspiring Six Sigma Green and Black Belt Students and Professionals It is particularly useful for Anyone who wants to learn MINITAB and STATISTICS or Six Sigma White Belts or Six Sigma Yellow Belts or Project Management Professionals or Aspiring Six Sigma Green and Black Belt Students and Professionals.
Enroll now: Six Sigma Statistics using Minitab 19 with practice examples
Summary
Title: Six Sigma Statistics using Minitab 19 with practice examples
Price: $44.99
Average Rating: 4.3
Number of Lectures: 74
Number of Quizzes: 5
Number of Published Lectures: 74
Number of Published Quizzes: 5
Number of Curriculum Items: 79
Number of Published Curriculum Objects: 79
Number of Practice Tests: 1
Number of Published Practice Tests: 1
Original Price: $24.99
Quality Status: approved
Status: Live
What You Will Learn
- Students will be able to use Minitab on basic level of statistical analysis
- Students will be able to understand the statistical concepts of Six Sigma White Belt (basic) to Six Sigma Yellow Belt (intermediate Level)
- Even the hard concepts will be fun to learn with this course
- Helpful for aspiring students of Statistics, Mathematics, Project Management, Operational Management, Six sigma White and Yellow Belt (SSWB, SSYB)
Who Should Attend
- Anyone who wants to learn MINITAB and STATISTICS
- Six Sigma White Belts
- Six Sigma Yellow Belts
- Project Management Professionals
- Aspiring Six Sigma Green and Black Belt Students and Professionals
Target Audiences
- Anyone who wants to learn MINITAB and STATISTICS
- Six Sigma White Belts
- Six Sigma Yellow Belts
- Project Management Professionals
- Aspiring Six Sigma Green and Black Belt Students and Professionals
Starting with ‘WHY’. WHY should you try this course?
Statistics is often considered a difficult and a complex subject to learn. Even professionals deal with many difficult issue when it comes to analyzing facts and coming to a conclusion. This course is designed in step by step learning methodology in increasing order of difficulty for every students interested in statistics and certification level for SIX SIGMA WHITE BELT & SIX SIGMA YELLOW BELT.However, this course can be equally beneficial for students interested in statistics and only using MINITAB in general as this course covers almost all the aspects of MINITAB and Statistics in general. This course also prepares you for SIX SIGMA GREEN BELT & SIX SIGMA BLACK BELTstatistics.
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In this course we will learn
In White Belt (Basic Level) -Students learn Basic Statistics with Minitab along with Graphs and tools
In Yellow Belt (Medium Level)- Students learn Quality tools such as Pareto Analysis, Histograms, Scatter plots, Stratification, Fishbone or Cause and Effect diagram & Control Charts along with Capacity Analysis
In Preparation (Higher level) this course prepares you with the basics of different Hypothesis tests, Design of experiment pathway, Regression pathway etc, which will prepare you for advanced level of Minitab usage.
******Besides this, this course is compatible for all versions of Minitab including Minitab 17,18 and 19.There are practice data files for all these versions inside.For any other version of Minitab, you can copy and paste the data from the EXCEL file to your Minitab file*****
NOTE:This course doesn’t need any prior knowledge on Minitab or any advanced level of knowledge of statistics as this course is self explanatory in itself as it is based on step by step learning methodology.
How do I really know that I have learned enough?
There are 3 ways to do so inside the course-
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By practicing with practice data files (there are more than 100 practice data files inside)
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By checking your knowledge through other Quizzes
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By participating in FINAL PRACTICE TEST.
What you get inside the course ?
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20+ Excel Templates to further improve your understanding
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Notes and Handouts to make learning easier
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100+ Minitab Practice Files
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Practice tests with 20+ questions to help you improve your learning curve
What’s the safety?
With 30 days money back guaranteeyou can sit back and relax as you learn. Give it a try because this course will change your organizational improvement knowledge and that’s a person promise from the instructor.
Let’s make it a learning celebration and a skill for lifetime. Welcome to the course!
Course Curriculum
Chapter 1: Introduction
Lecture 1: A peek: What can you learn from this course
Lecture 2: How to download a free version of Minitab?
Lecture 3: How to use the calculator function in Minitab like in Excel?
Lecture 4: Support
Lecture 5: How do you rank and sort the data with Minitab?
Lecture 6: Your Task: Please sort these numbers out
Lecture 7: Answer of your Task
Lecture 8: How to round off the numbers in Minitab?
Lecture 9: Task: Please round off these numbers
Lecture 10: Answer of your Task
Chapter 2: Minitab Basics I: White Belt Level
Lecture 1: Some basic concepts
Lecture 2: Descriptive and Inferential Statistics
Lecture 3: Performing Row Statistics
Lecture 4: Performing Column Statistics
Lecture 5: Task: Please perform these calculations
Lecture 6: Answer of your task
Lecture 7: How is it going?
Chapter 3: Minitab Basics II: Chart Functions (White Belt Level)
Lecture 1: Introduction to Graphs
Lecture 2: Pie chart in Minitab
Lecture 3: Bar chart and their types in Minitab
Lecture 4: Simple Box Plot
Lecture 5: Task: Please perform these calculations
Lecture 6: Answer of your task !
Lecture 7: Multiple Box Plot
Lecture 8: Box Plot with Groups
Lecture 9: Introduction to Pareto Analysis
Lecture 10: Pareto Chart with Minitab
Lecture 11: Introduction: Scatterplots
Lecture 12: Simple Scatterplot with Minitab
Lecture 13: Individual Value Plot
Lecture 14: Time Series Scatterplot
Lecture 15: Scatterplot with Regression
Lecture 16: Intermission
Chapter 4: More on Descriptive and Inferential statistics (YB I)
Lecture 1: Mean, Median, Mode, Standard Deviation, Variation
Lecture 2: Simple Histogram with Minitab
Lecture 3: Histogram for Making Comparisons
Lecture 4: Histogram with Fit
Lecture 5: Task Please perform these simple calculations
Lecture 6: Answer of your task !
Chapter 5: Probability Distributions in Minitab: Yellow Belt Level
Lecture 1: Checking Normal Distribution in Minitab I
Lecture 2: Checking Normal Distribution in Minitab II
Lecture 3: Notes on Binomial Distribution
Lecture 4: Binomial Distribution with Minitab
Lecture 5: Task: Please perform these calculations
Lecture 6: Answer of your task
Lecture 7: Notes on Poisson Distribution
Lecture 8: Poisson Distribution in Minitab
Lecture 9: Task: Please perform these calculations
Lecture 10: Answer of your Task
Chapter 6: Control Charts (Yellow Belt: Level III)
Lecture 1: Introduction of Control Charts
Lecture 2: Stability of data
Lecture 3: Control Chart: Continuous data selection pathway
Lecture 4: Pathway for attribute control chart
Lecture 5: Individuals chart
Lecture 6: X-R chart
Lecture 7: p chart
Lecture 8: np chart
Lecture 9: u chart
Lecture 10: c chart
Lecture 11: Control Chart for Showing Improvements
Chapter 7: Preparing for Higher Levels: Key for Green and Black Belt Certifications
Lecture 1: Basics of Hypothesis testing
Lecture 2: 1 sample t test
Lecture 3: 2 sample t test
Lecture 4: Analysis of variance
Lecture 5: Chi square test
Lecture 6: Basics of Corelation
Lecture 7: Selection of Correlation
Lecture 8: Basics of Design of Experiments
Lecture 9: Selection criteria of Design of Experiments
Lecture 10: Measurement System Analysis
Lecture 11: Selection Criteria on Measurement System Analysis
Lecture 12: Gage R and R
Lecture 13: Process Capability Analysis
Chapter 8: Conclusion:
Lecture 1: Bonus
Instructors
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Gunjan Subedi
Lean Six Sigma and Quality Assurance Specialist
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- 2 stars: 0 votes
- 3 stars: 7 votes
- 4 stars: 8 votes
- 5 stars: 13 votes
Frequently Asked Questions
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