Minitab Skills you will learn

  • Methods of data input
  • Worksheet manipulation
  • Graph creation
  • Basic data analysis

Who should learn this free Minitab course?

  • Data Professionals
  • Project Managers
  • Business Analysts

What you will learn in this free Minitab training?

  • Minitab

    • Lesson 01: Course Introduction

      05:55
      • Course Introduction
        05:55
    • Lesson 02: Introduction to Minitab

      22:42
      • 2.01 Introduction
        00:28
      • 2.02 Importance of Minitab
        01:49
      • 2.03 Demo: Minitab
        00:44
      • 2.04 Demo: Minitab Menu Bar
        03:36
      • 2.05 Demo: Graph Tab
        01:42
      • 2.06 Demo: Stat Tab
        03:26
      • 2.07 Demo: Other Tabs
        02:30
      • 2.08 Common Pitfalls in Analyzing Data
        00:47
      • 2.09 Bias
        02:18
      • 2.10 Error in Methodology
        01:19
      • 2.11 Problems in Interpretation
        02:22
      • 2.12 Avoiding the Common Pitfalls
        00:51
      • 2.13 Key Takeaways
        00:50
      • Knowledge Check
    • Lesson 03: Graphical Analysis

      15:35
      • 3.01 Introduction
        00:28
      • 3.02 Basic Statistics
        01:21
      • 3.03 Case Study: Amazing Inc
        02:16
      • 3.04 Demo: Bar Chart and Pie Chart
        02:10
      • 3.05 Demo: Pareto Chart and Histogram
        01:53
      • 3.06 Demo: Box Plot and Dot Plot
        01:55
      • 3.07 Demo: Individual Value Plot
        00:46
      • 3.08 Demo: Run Chart
        01:07
      • 3.09 Demo: Measuring Central Tendency and Spread
        01:23
      • 3.10 Demo: Normality Test
        01:42
      • 3.11 Key Takeaways
        00:34
      • Knowledge Check
    • Lesson 04: Control Charts

      14:10
      • 4.01 Introduction
        00:33
      • 4.02 Control Charts
        02:51
      • 4.03 Case Study: Couturier Garments
        01:54
      • 4.04 Couturier Garments: Six Sigma Approach
        00:52
      • 4.05 Demo: I-MR Chart
        01:29
      • 4.06 Demo: X-R Chart
        01:13
      • 4.07 Demo: X-S Chart
        01:05
      • 4.08 Demo: C Chart
        01:06
      • 4.09 Demo: U Chart
        00:51
      • 4.10 Demo: NP Chart
        00:51
      • 4.11 Demo: P Chart
        00:54
      • 4.12 Key Takeaways
        00:31
      • Knowledge Check
    • Lesson 05: Measurement System Analysis

      12:00
      • 5.01 Introduction
        00:33
      • 5.02 Case Study: Couturier Garments
        00:54
      • 5.03 Measurement System Analysis (MSA)
        01:45
      • 5.04 Gage R and R
        01:21
      • 5.05 Demo: Gage R and R
        02:10
      • 5.06 Attribute Gage R and R
        01:13
      • 5.07 Demo: Attribute Gage R and R
        02:48
      • 5.08 Case Study: Conclusion
        00:44
      • 5.09 Key Takeaways
        00:32
      • Knowledge Check
    • Lesson 06: Process Capability

      11:50
      • 6.01 Introduction
        00:28
      • 6.02 Process Capability
        00:47
      • 6.03 Case Study: Couturier Garments
        01:07
      • 6.04 Demo: Capability Analysis for Normal Data
        03:04
      • 6.05 Demo: Capability Analysis for Nonnormal Data
        02:29
      • 6.06 Demo: Poisson Capability Report
        01:45
      • 6.07 Demo: Binomial Capability Report
        01:43
      • 6.08 Key Takeaways
        00:27
      • Knowledge Check
    • Lesson 07: Hypothesis Testing

      24:42
      • 7.01 Introduction
        00:33
      • 7.02 Hypothesis Testing
        00:49
      • 7.03 Case Study: Life Line Inc
        00:46
      • 7.04 One-Sample t-test
        01:35
      • 7.05 Two-Sample t-test
        02:01
      • 7.06 Paired t-test
        01:45
      • 7.07 One-Sample proportion test
        02:07
      • 7.08 Two-Sample proportion test
        02:12
      • 7.09 One-Sample Variance test
        02:11
      • 7.10 Two-Sample Variance test
        02:50
      • 7.11 Chi-square: Goodness-of-fit-test
        02:46
      • 7.12 Chi-square: Test of association
        02:05
      • 7.13 Chi-square: cross tabulation
        02:23
      • 7.14 Key Takeaways
        00:39
      • Knowledge Check
    • Lesson 08: Hypothesis Testing: Nonparametric Tests

      14:13
      • 8.01 Introduction
        00:31
      • 8.02 Nonparametric tests
        02:10
      • 8.03 One-Sample sign test
        02:00
      • 8.04 Two-Sample Mann-Whitney U test
        02:12
      • 8.05 Friedman test
        01:42
      • 8.06 Mood's Median test
        01:39
      • 8.07 One-Sample Wilcoxon Test
        01:50
      • 8.08 Kruskal Wallis Test
        01:46
      • 8.09 Key Takeaways
        00:23
      • Knowledge Check
    • Lesson 09: Correlation and Regression

      16:51
      • 9.01 Introduction
        00:26
      • 9.02 Case Study: Metro Hospital
        01:33
      • 9.03 Metro Hospital: Six Sigma Approach
        02:19
      • 9.04 Correlation Coefficient
        00:44
      • 9.05 Demo: Correlation Coefficient
        02:13
      • 9.06 Regression Analysis
        00:38
      • 9.07 Case Study: Life Line Inc
        01:12
      • 9.08 Simple Linear Regression
        01:09
      • 9.09 Demo: Simple Linear Regression
        02:49
      • 9.10 Multiple Linear Regression
        01:10
      • 9.11 Demo: Multiple Linear Regression
        01:59
      • 9.12 Key Takeaways
        00:39
      • Knowledge Check
    • Lesson 10: Analysis of Variance

      12:59
      • 10.01 Introduction
        00:23
      • 10.02 Case Study: Great Investors
        01:42
      • 10.03 Analysis of Variance (ANOVA)
        00:50
      • 10.04 Demo: Normality
        01:34
      • 10.05 Demo: Equal Variation
        01:38
      • 10.06 Demo: Residuals
        02:44
      • 10.07 Main Effects Plot
        01:05
      • 10.08 Demo: Main Effects Plot
        00:39
      • 10.09 Interaction plot
        00:43
      • 10.10 Demo: Interaction Plot
        01:14
      • 10.11 Key Takeaways
        00:27
      • Knowledge Check
    • Lesson 11: Design of Experiments

      15:35
      • 11.01 Introduction
        00:23
      • 11.02 Case Study: Jeeshan Automotive
        01:46
      • 11.03 One Factor at a Time Approach
        00:56
      • 11.04 Design of Experiments
        02:05
      • 11.05 Demo: Full Factorial Design
        02:51
      • 11.06 Demo: Anlayze Factorial Design
        03:26
      • 11.07 Demo: Factorial Plots
        01:36
      • 11.08 Demo: Response Optimizer
        02:03
      • 11.09 Key Takeaways
        00:29
      • Knowledge Check

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Why you should learn Minitab?

10.1% by 2027

The CAGR of the global quality management software market


 

$71,679

The average annual salary for a Minitab professional

About the Course

Participants will gain foundational knowledge and hands-on experience using Minitab software throughout this Minitab free certification course. It covers critical aspects such as inputting statistical data and manipulating it for meaningful insights. Participants will learn to identify trends and patterns within the data, a crucial skill for effective decision-making. Furthermore, the course equips learners to address challenges and find resolutions tailored to Six Sigma projects.

The content is structured to provide a well-rounded understanding of Minitab. This Read More

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FAQs

  • What is Minitab and why is it used?

    Minitab is a data analysis tool aiding businesses in comprehending data for informed decision-making. It conducts statistical tests like t-tests, ANOVA, and regression analysis, generating graphs for visual representation.

  • How is Minitab different from Excel?

    Excel is a general number-crunching tool, whereas Minitab is specialized in statistical analysis. Excel suits tasks like financial modeling, while Minitab excels in analyzing datasets and performing statistical operations.

  • Do I need a background in statistics to start learning Minitab?

    No prerequisites are required to learn Minitab online for free. This introductory course is designed for beginners, ensuring accessibility without a prior statistical background.

  • What can I expect to learn from this free Minitab course?

    The Minitab free certification course covers essential Minitab applications, including statistical data input, manipulation, trend identification, pattern analysis, and issue resolution in Six Sigma projects.

  • How will this course benefit my career?

    Completing this Minitab course free enhances proficiency in Minitab, a valuable skill in various industries, potentially opening doors to career advancements and opportunities.

  • What is the free Minitab course duration?

    This  Minitab training free course spans over 3 hours, providing comprehensive insights and understanding of key concepts.

Learner Review

  • Mohammed Hammad Ahmed

    Mohammed Hammad Ahmed

    I am glad to share that I have successfully completed the Introduction to Minitab. Thank you Simplilearn for providing this introductory course. Looking forward to implement what I've learnt from the course.

  • Yaqub Khan

    Yaqub Khan

    Thanks to Simplilearn, I can now confidently work to make processes simpler by using Minitab.

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  • Disclaimer
  • PMP, PMI, PMBOK, CAPM, PgMP, PfMP, ACP, PBA, RMP, SP, and OPM3 are registered marks of the Project Management Institute, Inc.