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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

    1.5 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

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

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

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