
Minitab introduction getting started.
Download the Airline data file to run general Minitab functions in the aviation section, and note that opening requires Minitab 19 or later, or try the 30-day free trial.
Certified Minitab: Main parts of Minitab screen
Certified Minitab: Basic menu button on Minitab interface
Certified Minitab: Entering data in Minitab
Unstack a single column into multiple destination-specific columns in Minitab, separating passenger data by destination to meet statistical test requirements.
Learn to manipulate data in Minitab with the function calculator, multiplying 125 passengers by 3 to determine meals needed per flight.
Students define total revenue as passengers times ¥10,000, recode flights to 737 or 777 by a 200 passenger threshold, and compute descriptive statistics for passengers, split by date.
Explore comparing independent groups using nonparametric tests, including the Kruskal-Wallis and Mann-Whitney U tests, set in a Mars candy production context with an attached data file.
Explore measurement scales in data analysis using a pizza analogy to distinguish nominal, ordinal, and parametric scales in Minitab. Learn how variables like nationality, education, and income guide appropriate analyses.
conduct a two-sample t test in Minitab to compare weekly sales for trainees versus non-trainees, using a single sales column and training indicator; p = 0.213 implies no significant difference.
Compare peanut weights from three suppliers using a one-way ANOVA in Minitab, with post hoc Tukey tests to identify which groups differ at your chosen alpha level.
Learn to perform the Mann-Whitney U test in Minitab to compare two groups with ordinal data, interpret medians and p-values, and understand adjusted for ties.
Apply the Kruskal-Wallis test in Minitab to compare medians across three dog-model groups using ordinal interest scores, a nonparametric approach, and interpret p-values with and without ties.
Explore Minitab exercise analyzing a protein bar interest survey across Belgium, Holland, and Germany with binary yes/no data, and assess production differences across morning, afternoon, and night shifts.
Use chi-square test for association to compare country groups on a binary level of interest, then apply one-way anova with post hoc to compare production across shifts and reveal differences.
Master one-sample hypothesis testing by comparing a single sample to a hypothetical value, selecting the right test (t, sign, wilcoxon, or chi-square) based on parametric or nominal data.
Describe the difference between one-sided and two-sided hypothesis tests in Minitab, showing when to use each, with default two-sided tests and how to select a one-sided option.
Learn how to perform a one-sample t test in minitab to compare a sample mean to a known value, test hypotheses, and interpret p-values at 0.05.
Apply one-sample Wilcoxon and one-sample sign tests in Minitab to compare ordinal data to a hypothetical median. Choose the test by distribution symmetry and recode ordinal data to numeric.
Apply chi-square goodness of fit to compare national diet proportions (meat vs plants) with sample data, then assess ordinal and nominal variables using one-sample Wilcoxon with median benchmark of three.
Explore how correlation, specifically Pearson product moment, measures linear relationships using scatter plots, interprets r from -1 to 1, and guides starting points for further analysis.
Explore single OLS regression, contrasting with correlation, and learn to predict mistakes from training days using the regression equation Y = a + bX, including R squared and residuals.
Explore multiple OLS regression theory, its difference from single OLS, and how to interpret slopes, constants, and R squared, using Excel with practical examples of experience and training.
review rules for multiple OLS regression, including suitable parametric Y and X variables, avoiding multicollinearity, limiting the number of X variables, and ensuring adequate observations per variable.
Explore a Minitab data file for a US heavy metal festival across years, analyzing profit in millions, international acts, marketing budget in thousands, and staff experience.
Master multiple regression in minitab by modeling profit with international acts, marketing budget, and staff experience, interpreting coefficients and r-squared to assess significance and practical impact.
Explore the section introduction and analyze the Minitab data file, using amusement park data as the section's topic, and download the file to follow along.
Explore how box plots reveal central tendency, spread, and outliers, with focus on medians, quartiles, and whiskers; learn to interpret histograms to assess normality and skewness.
Explore how to create bar charts in Minitab to count category frequencies and compare mean satisfaction scores across top rides, using data labels and split by category.
Explore how to create box plots in Minitab to analyze hot snack sales, compare promotion versus non-promotion days, and interpret Q1, Q3, median, IQR, whiskers, and outliers.
Learn to create and interpret histograms in Minitab, analyzing candy sales, testing for normal distribution, and comparing days with and without promotional events through grouped and separate histograms.
Learn how to create and customize pie charts in Minitab to display distributions of favorite rides, including categorical labels, frequencies, and percentages, and to compare groups by line acceptability.
Learn to construct a pareto chart in Minitab from two data setups: a complaint type column with counts and a frequency column, including merging minor defects and showing cumulative percent.
Note: At the end of this course, students will obtain a certificate of completion from Udemy. Students also have the option to apply for free, optional, extra Lean (Six Sigma) examination and certification/badge + official credits. This external, free and optional examination/certification occurs outside the Udemy platform, requires registration (name, email and a link to your relevant Udemy certificate) and is offered by SSAA (Six Sigma Academy Amsterdam) which is an independent, academic-run training and certification institute with dual accreditation: (UK CPD and Dutch higher education BKO).
Minitab Data Analysis | Certified Minitab Expert, Accredited
This accredited Minitab course teaches you data analysis, statistics, and practical problem solving using the Minitab software. You will learn Minitab step by step, even if you have no background in math, statistics, or data science. The entire course is built around Minitab, and all examples, exercises, and demonstrations use Minitab so you can quickly become confident with the software.
We use Minitab version 21 in the lessons, but any recent version of Minitab works. If you need access to the software, you can download a free Minitab trial from the official website.
Why Learn Data Analysis With Minitab?
Minitab is one of the most widely used tools for data analysis, quality improvement, and Six Sigma projects. Many industries rely on Minitab because it makes statistical analysis easier, faster, and more accurate than Excel. Minitab allows beginners and professionals to run statistical tests, build graphs, analyze data, and make data-driven decisions with confidence.
This course teaches both the Minitab software and the statistical concepts behind each tool. You will learn how to perform analyses in Minitab, how to interpret the output Minitab generates, and how to use Minitab to solve real business, engineering, and research problems.
What Makes This Minitab Course Different
Taught by experienced university lecturers
Uses Minitab throughout the entire learning process
Covers both Minitab skills and statistics theory
Suitable for absolute beginners
Gradually builds you to an advanced Minitab skill level
Designed to make Minitab and statistics easy to understand
More than 150,000 students trained in Minitab and analytics
What You Will Learn in This Minitab Course
Descriptive Statistics in Minitab
Standard deviation in Minitab
Interquartile range in Minitab
Confidence intervals in Minitab
Hypothesis Testing With Minitab
Two-sample t test in Minitab
Mann–Whitney U test in Minitab
One-way ANOVA in Minitab
Kruskal–Wallis test in Minitab
Chi-square test of association in Minitab
One-sample t test in Minitab
One-sample Wilcoxon test in Minitab
One-sample sign test in Minitab
Chi-square goodness of fit in Minitab
Graphs and Data Visualization in Minitab
Boxplots in Minitab
Line graphs in Minitab
Scatter plots in Minitab
Bar charts in Minitab
Pareto charts in Minitab
Pie charts in Minitab
Correlation and Regression Using Minitab
Pearson correlation in Minitab
Spearman correlation in Minitab
Simple linear regression in Minitab
Multiple regression in Minitab
By the end of this Minitab training, you will be able to analyze real datasets, understand statistical results, and apply Minitab to business, research, engineering, and quality improvement projects.
Who This Minitab Course Is For
Beginners who want to learn Minitab and data analysis
Six Sigma professionals who need Minitab skills
Quality engineers using Minitab in industry
Students and researchers who require Minitab for statistical analysis
Business professionals who want to make data-driven decisions
Anyone who wants practical Minitab training with clear explanations
No prior experience with Minitab or statistics is required.
Join Over 150,000 Students
We focus on clear teaching, practical Minitab examples, and explanations that make data analysis understandable for everyone. We look forward to welcoming you to this Minitab course.
Six Sigma Academy Amsterdam [SSAA]
SSAA was set up by a number of university lecturers from Holland as an alternative to offline education at universities. When we set it up, the goal was to:
Offer the same quality BKO/BKE accredited (globally accepted) education as in Dutch universities by basing it on Dutch higher education BKO/BKE standards. We have certified 100,000+ students in 170+ countries based on those standards.
Make the training and certification program extremely efficient. We do not have any 'stuffing.' We do not needlessly repeat. We use effective examples so you understand data sciences concepts the first time, without the need to repeat. That is why our Minitab training is relatively short and respects your time.
Make the training and certification affordable.
Upon completing this course, you earn 15 official CPD credits which is equal to 15 PDUs if you are trying to maintain a PMI license.
Team SSAA (Six Sigma Academy Amsterdam)