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# Minitab Training

### Course Summary

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.

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### Course Syllabus

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

1.6 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

11.4 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

That was just a sneak-peak into the lesson.
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Course Fee:
USD 99

Self-Study

### Course Status:

Active

1 - 4 hours / week

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