Minitab ® Certificate Training - eLearning

Minitab ® Certificate Training - eLearning

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.

Understanding your data is the first step in reaching your business’s full potential. We have the solutions to get you there.

Key Features

• Course and material are in English
• Beginner friendly
• 1 year access to the self-paced study eLearning platform 24/7
• 3 hours of video content
• 40 hours study time recommended, 9 study cases
• Simulation test for certification assessment
• 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

• You will be able to navigate and utilize the Minitab interface, including accessing menus, entering data, and organizing worksheets effectively.
• Gain a solid understanding of fundamental statistical concepts such as mean, median, standard deviation, and data distributions
• Learn how to create and customize various charts and graphs (e.g., histograms, boxplots, scatterplots) to visualize data distributions and trends.
• Ability to calculate and interpret key descriptive statistics (e.g., central tendency, variability, shape of data distribution).
• Learn how to organize, clean, and transform data to prepare it for analysis. This includes handling missing values and performing basic data manipulation tasks.
• Gain an understanding of quality control concepts, such as control charts and process capability analysis, for managing and improving processes.

Target Audience

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

Course Content

Lesson 01: Course Introduction

Lesson 02: Introduction to Minitab

• Importance of Minitab
• Demo: Minitab platform
• Common Pitfalls in Analyzing Data
• Bias
• Error in Methodology
• Problems in Interpretation
• Avoiding the Common Pitfalls

Lesson 03: Graphical Analysis

• 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

Lesson 04: Control Charts

• 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

Lesson 05: Measurement System Analysis

• Measurement System Analysis (MSA)
• Gage R and R
• Demo: Gage R and R
• Attribute Gage R and R
• Demo: Attribute Gage R and R

Lesson 06: Process Capability

• Process Capability
• Demo: Capability Analysis for Normal Data
• Demo: Capability Analysis for Nonnormal Data
• Demo: Poisson Capability Report
• Demo: Binomial Capability Report

Lesson 07: Hypothesis Testing

• 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

Lesson 08: Hypothesis Testing: Non parametric Tests

• 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

Lesson 09: Correlation and Regression

• Case Study: Metro Hospital
• Metro Hospital: Six Sigma Approach
• Correlation Coefficient
• Demo: Correlation Coefficient
• Regression Analysis
• Simple Linear Regression
• Multiple Linear Regression

Lesson 10: Analysis of Variance

• Case Study: Great Investors
• Analysis of Variance (ANOVA)
• Demo: Normality, Equal Variation
• Demo: Residuals
• Demo: Main Effects Plot
• Demo: Interaction Plot

Lesson 11: Design of Experiments

• 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