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Minitab®

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Course programme

Course Preview
  • Minitab
    • Lesson 01 - Introduction to MINITAB
      • 1.1 Lesson 01 - Introduction to Minitab
      • 1.2 Overview and Imp of Minitab
      • 1.3 Worksheet Format and Structure
      • 1.4 Data Windows Conventions
      • 1.5 Menu Bar Overview
      • 1.6 Quiz
      • 1.7 Summary
    • Lesson 02 - Interoperability in Minitab
      • 2.1 Lesson 02 - Interoperability in Minitab
      • 2.2 Transferring data from MS Excel to Minitab
      • 2.3 Transfer Data from Excel to Minitab Demo
      • 2.4 Exporting Analysis data from Minitab to Word and PPT
      • 2.5 Export Analysis Data from Minitab to PPT and Word Demo
      • 2.6 Exporting data from Session Window to Word and PPT
      • 2.7 Exporting data Session Window to Word and PPT Demo
      • 2.8 Quiz
      • 2.9 Summary
    • Lesson 03 - Lean Six Sigma Green Belt case study
      • 3.1 Lesson 03 - Lean Six Sigma Green Belt case study
      • 3.2 Case Study of Healthcare
      • 3.3 Generate Bar Chart in Minitab
      • 3.4 Generating Bar Chart Demo
      • 3.5 Using Pie Chart
      • 3.6 Pie Chart Demo
      • 3.7 Computing Pareto Chart
      • 3.8 Pareto Chart Demo
      • 3.9 Defining Normality Test
      • 3.10 Normality Test Demo
      • 3.11 Preparing Run Chart
      • 3.12 Run Chart Demo
      • 3.13 Creating Histogram
      • 3.14 Histogram Demo
      • 3.15 Creating Box Plot
      • 3.16 Generate Box Plot Demo
      • 3.17 Categorizing Measuring CT and Spread
      • 3.18 Measuring Central Tendency and Spread Demo
      • 3.19 Examine Sample Size Determination
      • 3.20 Sample Size Determination Demo
      • 3.21 Use Control Charts for Continuous Data
      • 3.22 Control Charts for Continuous Data Demo
      • 3.23 Quiz
      • 3.24 Summary
    • Lesson 04 - Case Study on Lean SS Green Belt
      • 4.1 Lesson 04 - Case Study on Lean SS Green Belt
      • 4.2 Sorting Data
      • 4.3 Sorting Data Demo
      • 4.4 Project Duration
      • 4.5 Using Calculator
      • 4.6 Apply Formulas to Columns
      • 4.7 Applying Formulas to Columns Demo
      • 4.8 Changing Data Types
      • 4.9 Changing Data Type Demo
      • 4.10 Process Capability Indices
      • 4.11 Process Capability Indices Demo
      • 4.12 Dot Plot
      • 4.13 Dot Plot Demo
      • 4.14 Individual Value Plot
      • 4.15 Individual Value Plot Demo
      • 4.16 Interval Plot
      • 4.17 Interval Plot Demo
      • 4.18 Scatter Plot
      • 4.19 Scatter Plot Demo
      • 4.20 Calculate Z Value
      • 4.21 Calculate Z Value Demo
      • 4.22 Identify Distribution
      • 4.23 Identify Distribution Demo
      • 4.24 Transform data to Normal distribution
      • 4.25 Transform data to Normal distribution Demo
      • 4.26 Control Charts for Discrete Data
      • 4.27 Control Charts for Discrete Data Demo
      • 4.28 Quiz
      • 4.29 Summary
    • Lesson 05 - Gage R and R Analysis and Attribute R and R Analysis
      • 5.1 Lesson 05 - Gage R and R Analysis and Attribute R and R Analysis
      • 5.2 Measurement System Analysis
      • 5.3 Gage Repeatability and Reproducibility Analysis Method
      • 5.4 Gage Repeatability and Reproducibility Analysis Method Demo
      • 5.5 Attribute Repeatability and Reproducibility Analysis Method
      • 5.6 Attribute Repeatability and Reproducibility Analysis Method Demo
      • 5.7 Conclusion
      • 5.8 Quiz
      • 5.9 Summary
    • Lesson 06 - Case Study on Lean SS Black Belt
      • 6.1 Lesson 06 - Case Study on Lean SS Black Belt
      • 6.2 Generate CCA in Minitab
      • 6.3 Interpret Correlation Coefficient Analysis
      • 6.4 Interpreting Correlation Coefficient Analysis Demo
      • 6.5 Conclusion
      • 6.6 Use of Contour Graph
      • 6.7 Create Contour Graph Demo
      • 6.8 Hypothesis Test for Normally Distributed Data
      • 6.9 2 Sample t Test Demo
      • 6.10 Hypothesis 1 Sample t-Test
      • 6.11 1 Sample t Test Demo
      • 6.12 Hypothesis-Paired t-Test
      • 6.13 Paired t Test Demo
      • 6.14 Quiz
      • 6.15 Summary
    • Lesson 07 - Regression Analysis in Minitab
      • 7.1 Lesson 07 - Regression Analysis in Minitab
      • 7.2 Simple Linear Regression
      • 7.3 Simple Linear Regression in Minitab Demo
      • 7.4 Conclusion
      • 7.5 Multiple Regression
      • 7.6 Multiple Regression in Minitab Demo
      • 7.7 Conclusion
      • 7.8 Quiz
      • 7.9 Summary
    • Lesson 08 - Hypothesis Tests for Non-Normally distributed Data
      • 8.1 Lesson 08 - Hypothesis Tests for Non-Normally Distributed Data
      • 8.2 Non Parametric Tests
      • 8.3 1 Sample Sign test in Minitab Demo
      • 8.4 Hypothesis-2 Sample Mann Whitney U Test
      • 8.5 2 Sample Mann Whitney U Test in Minitab Demo
      • 8.6 Hypothesis-Kruskal Wallis Test
      • 8.7 Kruskal Wallis Test in Minitab Demo
      • 8.8 Quiz
      • 8.9 Summary
    • Lesson 09 - Analysis of Variance
      • 9.1 Lesson 09 - Analysis of Variance
      • 9.2 Analysis of Variance
      • 9.3 Test of Normality Demo
      • 9.4 Analyze the next assumption
      • 9.5 Test of Equal Variances Demo
      • 9.6 One-way ANOVA test Demo
      • 9.7 Conclusion
      • 9.8 Main Effects Plot
      • 9.9 Main Effects Plot Demo
      • 9.10 Interaction Plot
      • 9.11 Interaction Plot Demo
      • 9.12 Conclusion
      • 9.13 Quiz
      • 9.14 Summary
    • Lesson 10 - Chi Square Test for Association
      • 10.1 Lesson 10 - Chi Square Test for Association
      • 10.2 Chi-Square Testing
      • 10.3 Chi Square Test of Independence using Minitab Demo
      • 10.4 Quiz
      • 10.5 Summary
    • Lesson 11 - Design of Experiments
      • 11.1 Lesson 11 - Design of Experiments
      • 11.2 Design of Experiment
      • 11.3 Factorial Design in Minitab Demo
      • 11.4 Conclusion
      • 11.5 Quiz
      • 11.6 Summary
    • Lesson 12 - Common Pitfalls while Analyzing Data
      • 12.1 Lesson 12 - Common Pitfalls while Analyzing Data
      • 12.2 Common Pitfalls in Data Analysis
      • 12.3 Quiz
      • 12.4 Summary

Additional information

  • What is this course about?

    This course ensures that you learn the practical applications of the latest version of the statistical tool, Minitab® 17 and excel at the tools used by both Lean Six Sigma Green Belt and Black Belt professionals.

    The course covers 9 case studies in the domains of Healthcare, IT and IT Services, and Manufacturing, and each case study describes a problem and its solution using Minitab® 17.

  • What are the course objectives?

    By the end of Minitab training you will be able to:
    • Process key statistical data operations using Minitab
    • Export data to various MS office applications
    • Understand and apply various statistical tools in various quality projects
    • Understand and remove common pitfalls in data analysis
    • Master all statistical tools/topics needed for Green/Black belt projects

  • Who should do this course?

    Minitab is most beneficial for organizations that encourage employees to take up efficiency/ quality projects and bring in key insights using data analysis. This course is most suited for:
    • Individuals looking forward to learn data analysis using Minitab
    • Analysts
    • Quality System Managers
    • Quality Engineers
    • Quality Supervisors
    • Quality Auditors