Approx. 15 hours
Minitab provides the tools you need to analyze data and find meaningful solutions to your toughest business problems.
Get Certified. Get Ahead.
About 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.
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.
Quality System Managers, Engineers and Auditors.
Students and Graduate Engineer Trainees.
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.
INCLUDED IN COURSE
8 hours of high-quality e-learning content
9 case studies in Manufacturing, Healthcare & IT services
Course completion certificate
Let's start the course
Lesson 01 - Introduction to Minitab
1.1 - Introduction to Minitab
1.2 - Overview and Importance of Minitab
1.3 - Worksheet format and Structure
1.4 - Summary
Lesson 02 - Interoperability in Minitab
2.1 - Interoperability in Minitab (Data Transfer & Export)
Lesson 03 - Lean Six Sigma Green Belt Case Study I
3.1 - Case study of Healthcare
3.2 - Generating charts in Minitab
3.3 - Measuring Central Tendency, Sample size and Control Charts
Lesson 04 - Lean Six Sigma Green Belt Case Study II
4.1 - Data sorting and Types
4.2 - Process Capability Indices and Plots
4.3 - Identify Distribution and Control charts for Discrete Data
4.4 - Summary
Lesson 05 - Measurement System Analysis
5.1 - MSA (Gage R&R Analysis)
5.2 - Gage R&R and Attribute R&R Analysis
Lesson 06 - Case Study on Lean Six Sigma Black Belt III
6.1 - Case study on Lean SS Black Belt
6.2 - Correlation Coefficient Analysis
6.3 - Hypothesis Testing for Normally Distributed Data
Lesson 07 - Regression Analysis
7.1 - Simple Linear Regression
7.2 - Multiple Regression
Lesson 08 - Hypothesis Test for Non Normally Distributed Data
8.1 - Hypothesis Tests_Non normally distributed data
Lesson 09 - Analysis of Variance (ANOVA)
9.1 - Analysis of Variance
9.2 - Test of Normality_Demo
9.3 - Demo_One way ANOVA and Equal Variances
9.4 - Main effects and Interaction plot
Lesson 10 - Chi Square Testing
10.1 - Chi square testing
10.2 - Chi square test using Minitab Demo
10.3 - Summary
Lesson 11 - Design of Experiments
11.1 - Introduction to DOE
11.2 - Design of experiment
11.3 - Factorial Design in Minitab Demo
11.4 - Summary
Lesson 12 - Common pitfalls while Analyzing Data
12.1 - Common pitfalls in data analysis