Name: Minitab Certification Training Course in Ahmedabad, India
Address: Ahmedabad, Gujarat,India
Telephone: 1800-212-7688
Price range: 1999.0000

Key features

MONEY BACK GUARANTEE

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

Corporate Training Solutions

Blended learning delivery model (self-paced eLearning and/or instructor-led options)
Flexible pricing options
Enterprise grade Learning Management System (LMS)
Enterprise dashboards for individuals and teams
24x7 learner assistance and support

Course description

What’s the focus of this course?

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 take 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

Course preview

Minitab
- Lesson 01 - Introduction to MINITAB
  19:24
  - 1.1 Lesson 01 - Introduction to Minitab
    01:07
  - 1.2 Overview and Imp of Minitab
    08:09
  - 1.3 Worksheet Format and Structure
    03:53
  - 1.4 Data Windows Conventions
    02:27
  - 1.5 Menu Bar Overview
    02:48
  - 1.6 Quiz
  - 1.7 Summary
    01:00
- Lesson 02 - Interoperability in Minitab
  08:54
  - 2.1 Lesson 02 - Interoperability in Minitab
    00:43
  - 2.2 Transferring data from MS Excel to Minitab
    01:46
  - 2.3 Transfer Data from Excel to Minitab Demo
    01:13
  - 2.4 Exporting Analysis data from Minitab to Word and PPT
    00:40
  - 2.5 Export Analysis Data from Minitab to PPT and Word Demo
    01:24
  - 2.6 Exporting data from Session Window to Word and PPT
    00:08
  - 2.7 Exporting data Session Window to Word and PPT Demo
    02:24
  - 2.8 Quiz
  - 2.9 Summary
    00:36
- Lesson 03 - Lean Six Sigma Green Belt case study
  27:48
  - 3.1 Lesson 03 - Lean Six Sigma Green Belt case study
    00:56
  - 3.2 Case Study of Healthcare
    02:47
  - 3.3 Generate Bar Chart in Minitab
    00:05
  - 3.4 Generating Bar Chart Demo
    01:52
  - 3.5 Using Pie Chart
    00:52
  - 3.6 Pie Chart Demo
    01:37
  - 3.7 Computing Pareto Chart
    01:01
  - 3.8 Pareto Chart Demo
    01:18
  - 3.9 Defining Normality Test
    00:53
  - 3.10 Normality Test Demo
    01:06
  - 3.11 Preparing Run Chart
    00:36
  - 3.12 Run Chart Demo
    01:41
  - 3.13 Creating Histogram
    00:40
  - 3.14 Histogram Demo
    01:17
  - 3.15 Creating Box Plot
    00:20
  - 3.16 Generate Box Plot Demo
    02:27
  - 3.17 Categorizing Measuring CT and Spread
    00:40
  - 3.18 Measuring Central Tendency and Spread Demo
    01:29
  - 3.19 Examine Sample Size Determination
    00:30
  - 3.20 Sample Size Determination Demo
    01:50
  - 3.21 Use Control Charts for Continuous Data
    00:38
  - 3.22 Control Charts for Continuous Data Demo
    02:04
  - 3.23 Quiz
  - 3.24 Summary
    01:09
- Lesson 04 - Case Study on Lean SS Green Belt
  32:35
  - 4.1 Lesson 04 - Case Study on Lean SS Green Belt
    01:47
  - 4.2 Sorting Data
    03:08
  - 4.3 Sorting Data Demo
    02:10
  - 4.4 Project Duration
    00:28
  - 4.5 Using Calculator
    00:55
  - 4.6 Apply Formulas to Columns
    00:07
  - 4.7 Applying Formulas to Columns Demo
    01:11
  - 4.8 Changing Data Types
    00:06
  - 4.9 Changing Data Type Demo
    01:33
  - 4.10 Process Capability Indices
    00:07
  - 4.11 Process Capability Indices Demo
    02:33
  - 4.12 Dot Plot
    00:06
  - 4.13 Dot Plot Demo
    01:46
  - 4.14 Individual Value Plot
    00:06
  - 4.15 Individual Value Plot Demo
    01:52
  - 4.16 Interval Plot
    00:06
  - 4.17 Interval Plot Demo
    02:14
  - 4.18 Scatter Plot
    00:05
  - 4.19 Scatter Plot Demo
    02:05
  - 4.20 Calculate Z Value
    00:06
  - 4.21 Calculate Z Value Demo
    02:39
  - 4.22 Identify Distribution
    00:07
  - 4.23 Identify Distribution Demo
    01:44
  - 4.24 Transform data to Normal distribution
    00:09
  - 4.25 Transform data to Normal distribution Demo
    01:49
  - 4.26 Control Charts for Discrete Data
    00:07
  - 4.27 Control Charts for Discrete Data Demo
    02:00
  - 4.28 Quiz
  - 4.29 Summary
    01:29
- Lesson 05 - Gage R and R Analysis and Attribute R and R Analysis
  19:58
  - 5.1 Lesson 05 - Gage R and R Analysis and Attribute R and R Analysis
    01:08
  - 5.2 Measurement System Analysis
    06:17
  - 5.3 Gage Repeatability and Reproducibility Analysis Method
    00:08
  - 5.4 Gage Repeatability and Reproducibility Analysis Method Demo
    05:48
  - 5.5 Attribute Repeatability and Reproducibility Analysis Method
    01:38
  - 5.6 Attribute Repeatability and Reproducibility Analysis Method Demo
    03:21
  - 5.7 Conclusion
    00:55
  - 5.8 Quiz
  - 5.9 Summary
    00:43
- Lesson 06 - Case Study on Lean SS Black Belt
  22:41
  - 6.1 Lesson 06 - Case Study on Lean SS Black Belt
    00:59
  - 6.2 Generate CCA in Minitab
    04:35
  - 6.3 Interpret Correlation Coefficient Analysis
    00:06
  - 6.4 Interpreting Correlation Coefficient Analysis Demo
    03:04
  - 6.5 Conclusion
    01:02
  - 6.6 Use of Contour Graph
    01:36
  - 6.7 Create Contour Graph Demo
    01:49
  - 6.8 Hypothesis Test for Normally Distributed Data
    02:16
  - 6.9 2 Sample t Test Demo
    01:34
  - 6.10 Hypothesis 1 Sample t-Test
    00:38
  - 6.11 1 Sample t Test Demo
    01:29
  - 6.12 Hypothesis-Paired t-Test
    01:08
  - 6.13 Paired t Test Demo
    01:18
  - 6.14 Quiz
  - 6.15 Summary
    01:07
- Lesson 07 - Regression Analysis in Minitab
  12:02
  - 7.1 Lesson 07 - Regression Analysis in Minitab
    00:54
  - 7.2 Simple Linear Regression
    03:11
  - 7.3 Simple Linear Regression in Minitab Demo
    02:16
  - 7.4 Conclusion
    00:24
  - 7.5 Multiple Regression
    02:04
  - 7.6 Multiple Regression in Minitab Demo
    02:11
  - 7.7 Conclusion
    00:15
  - 7.8 Quiz
  - 7.9 Summary
    00:47
- Lesson 08 - Hypothesis Tests for Non-Normally distributed Data
  11:10
  - 8.1 Lesson 08 - Hypothesis Tests for Non-Normally Distributed Data
    00:54
  - 8.2 Non Parametric Tests
    02:53
  - 8.3 1 Sample Sign test in Minitab Demo
    01:39
  - 8.4 Hypothesis-2 Sample Mann Whitney U Test
    00:48
  - 8.5 2 Sample Mann Whitney U Test in Minitab Demo
    01:24
  - 8.6 Hypothesis-Kruskal Wallis Test
    00:44
  - 8.7 Kruskal Wallis Test in Minitab Demo
    02:00
  - 8.8 Quiz
  - 8.9 Summary
    00:48
- Lesson 09 - Analysis of Variance
  14:08
  - 9.1 Lesson 09 - Analysis of Variance
    00:47
  - 9.2 Analysis of Variance
    02:57
  - 9.3 Test of Normality Demo
    01:15
  - 9.4 Analyze the next assumption
    00:12
  - 9.5 Test of Equal Variances Demo
    01:45
  - 9.6 One-way ANOVA test Demo
    01:28
  - 9.7 Conclusion
    00:14
  - 9.8 Main Effects Plot
    00:59
  - 9.9 Main Effects Plot Demo
    01:19
  - 9.10 Interaction Plot
    00:56
  - 9.11 Interaction Plot Demo
    01:22
  - 9.12 Conclusion
    00:12
  - 9.13 Quiz
  - 9.14 Summary
    00:42
- Lesson 10 - Chi Square Test for Association
  05:26
  - 10.1 Lesson 10 - Chi Square Test for Association
    00:34
  - 10.2 Chi-Square Testing
    02:42
  - 10.3 Chi Square Test of Independence using Minitab Demo
    01:33
  - 10.4 Quiz
  - 10.5 Summary
    00:37
- Lesson 11 - Design of Experiments
  12:26
  - 11.1 Lesson 11 - Design of Experiments
    01:07
  - 11.2 Design of Experiment
    05:16
  - 11.3 Factorial Design in Minitab Demo
    05:06
  - 11.4 Conclusion
    00:18
  - 11.5 Quiz
  - 11.6 Summary
    00:39
- Lesson 12 - Common Pitfalls while Analyzing Data
  08:54
  - 12.1 Lesson 12 - Common Pitfalls while Analyzing Data
    01:05
  - 12.2 Common Pitfalls in Data Analysis
    06:51
  - 12.3 Quiz
  - 12.4 Summary
    00:58
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Reviews

SasiKiran Kesavan Business Process Analyst at Magecube.com, Chennai

Case studies are very helpful. Thank you Simplilearn.

Partha Sarathy QC engineer in Applus Velosi Norge A/S, Oslo

Excellence course. It is structured with real world examples.

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.

Minitab Certification Training Course in Ahmedabad, India

Become a Minitab 17 Pro and master this important statistical tool. With case studies in a variety of fields, you'll learn to apply it effectively to Six Sigma projects.

Key features

Self-Paced Learning

Corporate Training Solutions

Course description

What’s the focus of this course?

What are the course objectives?

Who should take this course?

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