Course Overview

Key Features

  • 8 hours of high-quality e-learning content
  • 9 case studies in Manufacturing, Healthcare, IT & IT services
  • 1 practice test
  • Course completion certificate
  • 4 PDUs offered

Skills Covered

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

Training Options

Course Curriculum

Course Content

  • Minitab

    Preview
    • Lesson 01: Course Introduction

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

      22:42Preview
      • 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

      15:35Preview
      • 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

      14:10Preview
      • 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

      12:00Preview
      • 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

      11:50Preview
      • 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

      24:42Preview
      • 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

      14:13Preview
      • 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

      16:51Preview
      • 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

      12:59Preview
      • 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

      15:35Preview
      • 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

Exam & Certification

  • Does this course have any prerequisites?

    There are no prerequisites for this Minitab certification training in Mumbai and it is not limited to Six Sigma specialists. Anyone who is interested in data analysis with Minitab certification training in Mumbai can take up and complete this Minitab certification course in Mumbai.

  • What do I need to unlock my Simplilearn certificate?

    To unlock the certificate of Minitab certification training in Mumbai, you must finish at least 85 per cent of the course. However, it will be of greater value if you attend the Minitab certification course in Mumbai completely (i.e. 100%). 

  • Do you provide any practice tests as part of this course?

    Yes, as part of our Minitab certification training in Mumbai, we include one practice test to assist you to prepare for the actual certification exam via the Minitab certification course in Mumbai. You can use this free Minitab Exam Prep Practice Test to get a sense of the types of tests that will be included in the Minitab certification course in Mumbai, course curriculum.

Reviews

  • SasiKiran Kesavan

    SasiKiran Kesavan

    Business Process Analyst at Magecube.com, Chennai

    Case studies are very helpful. Thank you Simplilearn.

  • Partha Sarathy

    Partha Sarathy

    QC engineer in Applus Velosi Norge A/S, Oslo

    Excellence course. It is structured with real world examples.

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Why Online Bootcamp

  • Develop skills for real career growthCutting-edge curriculum designed in guidance with industry and academia to develop job-ready skills
  • Learn from experts active in their field, not out-of-touch trainersLeading practitioners who bring current best practices and case studies to sessions that fit into your work schedule.
  • Learn by working on real-world problemsCapstone projects involving real world data sets with virtual labs for hands-on learning
  • Structured guidance ensuring learning never stops24x7 Learning support from mentors and a community of like-minded peers to resolve any conceptual doubts

FAQs

  • What payment options are available?

    You can enroll for the training online. Payments can be made using any of the following options and receipt of the same will be issued to the candidate automatically via email.
    1. Visa debit/credit card
    2. American express and Diners club card
    3. Master Card, or
    4. Through PayPal

  • What will I get along with this training?

    You will have online access to e-learning and practice tests along with the training.

  • Can I cancel my enrollment? Will I get a refund?

    Yes, you can cancel your enrollment. We provide you complete refund after deducting the administration fee. To know more please go through our Refund Policy.

  • Do you provide money back guarantee for the training programs?

    Yes. We do offer a money-back guarantee for many of our training programs. You can refer to the Refund Policy and raise refund requests via our Help and Support portal.

  • Can I extend the access period?

    Yes, you can extend the access period by paying an additional fee. Please raise a request via our Help and Support portal.

  • Where and how can I access the e-learning content? Are there any limitations?

    Once you register with us for a course by paying the course fee, you can have 24/7 access to the e-learning content on our website. An automated course purchase confirmation mail from our side will guide you through the process.

  • I am not able to access the online course. Whom should I contact for a solution?

    Please raise a request via our Help and Support portal to have your issue resolved.

  • What is Minitab?

    Minitab is a statistical package that is used for improvement in statistics-based projects.

  • Who should take Minitab training?

    Professionals those who work on implementation of Six Sigma methodologies should take Minitab training.

  • I’d like to learn more about this training program. Who should I contact?

    Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.

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