Minitab®

simplilearn

Course

Online

Price on request

Description

  • Type

    Course

  • Methodology

    Online

Simplilearn is the World’s Largest Certification Training Provider, with over 400,000+ professionals trained globally
Trusted by the Fortune 500 companies as their learning provider for career growth and training
2000+ certified and experienced trainers conduct trainings for various courses across the globe
All our Courses are designed and developed under a tried and tested Unique Learning Framework that is proven to deliver 98.6% pass rate in first attempt.

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This centre's achievements

2017
2016

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 8 years

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

See related categories

Minitab®

Price on request