Minitab ® Certification Training - eLearning
450,00 EUR
- 40 hours
Take your data to the next level with Minitab! 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.
Key Features
Language
Course & material are in English
Level
Beginner friendly
Access
1 year access to the self-paced study eLearning platform 24/7
3 hours of video content
with 40 hours study time recommended, 9 study cases
Simulation test
For certification assessment
No exam
No exam for the course but student will get certification of training completion
About Minitab
Minitab is a statistics package developed at the Pennsylvania State University and is currently owned Minitab Inc, a privately owned company headquartered in State College, Pennsylvania. Originally intended as a tool for teaching statistics, it is a general-purpose statistical software package designed for easy interactive use.
This Minitab course is aimed at providing learners with the foundational knowledge and basic working skills of Minitab. It offers high quality content, quizzes, downloadable materials and much more. The course covers various areas of the topic like handling statistical data, manipulating it and recognizing trends and patterns along with inducing solutions to issues. It has been deigned to be suited for Six Sigma professionals to help them work with data and statistics.
Learning Outcomes
By the end of this course, you will understand:
Interface
You will be able to navigate and utilize the Minitab interface, including accessing menus, entering data, and organizing worksheets effectively.
Statistical Concepts
Gain a solid understanding of fundamental statistical concepts such as mean, median, standard deviation, and data distributions
Data Visualization and Graphing
Learn how to create and customize various charts and graphs (e.g., histograms, boxplots, scatterplots) to visualize data distributions and trends.
Descriptive Statistics Analysis
Ability to calculate and interpret key descriptive statistics (e.g., central tendency, variability, shape of data distribution).
Data Management and Transformation
Learn how to organize, clean, and transform data to prepare it for analysis. This includes handling missing values and performing basic data manipulation tasks.
Introduction to Statistical Quality Control (SQC)
Gain an understanding of quality control concepts, such as control charts and process capability analysis, for managing and improving processes.
Course timeline
Course Introduction
Lesson 01
Introduction to Minitab
Lesson 02
- Importance of Minitab
- Demo: Minitab platform
- Common Pitfalls in Analyzing Data
- Bias
- Error in Methodology
- Problems in Interpretation
- Avoiding the Common Pitfalls
Graphical Analysis
Lesson 03
- Basic Statistics
- Case Study: Amazing Inc
- Demo: Bar Chart and Pie Chart
- Demo: Pareto Chart and Histogram
- Demo: Box Plot and Dot Plot
- Demo: Individual Value Plot
- Demo: Run Chart
- Demo: Measuring Central Tendency and Spread
- Demo: Normality Test
Control Charts
Lesson 04
- Control Charts
- Case Study: Couturier Garments
- Couturier Garments: Six Sigma Approach
- Demo: I-MR Chart, X-R Chart, X-S Chart, C Chart, U Chart, NP Chart, P chart
Measurement System Analysis
Lesson 05
- Measurement System Analysis (MSA)
- Gage R and R
- Demo: Gage R and R
- Attribute Gage R and R
- Demo: Attribute Gage R and R
Process Capability
Lesson 06
- Process Capability
- Demo: Capability Analysis for Normal Data
- Demo: Capability Analysis for Nonnormal Data
- Demo: Poisson Capability Report
- Demo: Binomial Capability Report
Hypothesis Testing
Lesson 07
- Case Study: Life Line Inc
- One-Sample t-test
- Two-Sample t-test
- Paired t-test
- One-Sample / two-sample proportion test
- Chi-square: Goodness-of-fit-test
- Chi-square: Test of association
- Chi-square: cross tabulation
Hypothesis Testing: Non parametric Tests
Lesson 08
- Nonparametric tests
- One-Sample sign test
- Two-Sample Mann-Whitney U test
- Friedman test
- Mood's Median test
- Kruskal Wallis Test
- One-Sample Wilcoxon Test
Correlation and Regression
Lesson 09
Case Study: Metro Hospital
Metro Hospital: Six Sigma Approach
Correlation Coefficient
Demo: Correlation Coefficient
Regression Analysis
Simple Linear Regression
Multiple Linear Regression
Analysis of Variance
Lesson 10
- Case Study: Great Investors
- Analysis of Variance (ANOVA)
- Demo: Normality, Equal Variation
- Demo: Residuals
- Demo: Main Effects Plot
- Demo: Interaction Plot
Design of Experiments
Lesson 11
- Case Study: Jeeshan Automotive
- One Factor at a Time Approach
- Design of Experiments
- Demo: Full Factorial Design
- Demo: Anlayze Factorial Design
- Demo: Factorial Plots
- Demo: Response Optimizer
Who Should Enroll in this Program?
No prerequisites are required to learn Minitab course.This introductory course is designed for beginners, ensuring accessibility without a prior statistical background. It mainly targets six-sigma professionals. It provides a simple approach to input statistical data and identifies the data trends and patterns.
Six Sigma Practitioners
Quality managers
Data analyst
Statisticians
Manufacturing and Process Engineers
Researchers and Academics
Frequently Asked Question
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