Minitab Training
Minitab training is designed to equip individuals with the skills and knowledge required to effectively use Minitab, a powerful statistical analysis software, for data analysis, quality control, and decision-making. Whether you are a beginner looking to grasp the fundamentals of Minitab or an experienced analyst seeking to refine your advanced statistical techniques, this training program offers comprehensive instruction tailored to your needs.
The course covers a wide range of statistical methods and tools commonly used in industries such as manufacturing, healthcare, finance, and research. Through practical exercises and real-world examples, participants will learn how to apply statistical techniques using Minitab’s intuitive interface and powerful functionality.

Why should you choose Nisa For Minitab Training?
Nisa Trainings is the best online training platform for conducting one-on-one interactive live sessions with a 1:1 student-teacher ratio. You can gain hands-on experience by working on near-real-time projects under the guidance of our experienced faculty. We support you even after the completion of the course and happy to clarify your doubts anytime. Our teaching style at Nisa Trainings is entirely hands-on. You’ll have access to our desktop screen and will be actively conducting hands-on labs on your desktop.
Job Assistance
If you face any problem while working on Minitab Course, then Nisa Trainings is simply a Call/Text/Email away to assist you. We offer Online Job Support for professionals to assist them and to solve their problems in real-time.
The Process we follow for our Online Job Support Service:
- We receive your inquiry for Online Job
- We will arrange a telephone call with our consultant to grasp your complete requirement and the tools you’re
- If our consultant is 100% confident in taking up your requirement and when you are also comfortable with our consultant, we will only agree to provide service. And then you have to make the payment to get the service from
- We will fix the timing for Online Job Support as mutually agreed by you and our consultant.
Course Information
Minitab Training
Duration: 25 Hours
Timings: Weekdays (1-2 Hours per day) [OR] Weekends (2-3 Hours per day)
Training Method: Instructor Led Online One-on-One Live Interactive
Sessions.
COURSE CONTENT :
1. Introduction to Minitab
- Overview of Minitab interface (toolbar, menu options, session window, etc.)
- Data entry and file management (importing, exporting, saving workbooks)
- Basic operations in Minitab (copying, pasting, and editing data)
- Navigating the Minitab workspace
2. Data Analysis Basics
- Understanding data types (qualitative vs. quantitative)
- Descriptive statistics (mean, median, standard deviation, variance, etc.)
- Graphical analysis (histograms, bar charts, scatterplots, boxplots)
- Summarizing data using basic statistics
3. Probability Distributions
- Introduction to probability distributions (Normal, Binomial, Poisson, etc.)
- Fitting data to a distribution
- Visualizing probability distributions
4. Hypothesis Testing
- Introduction to hypothesis testing concepts (null and alternative hypothesis, p-values)
- One-sample t-tests and two-sample t-tests
- Chi-square tests (Goodness of Fit, Test of Independence)
- ANOVA (Analysis of Variance) and its applications
5. Regression and Correlation
- Simple linear regression (fitting a regression line, interpreting coefficients)
- Multiple regression analysis
- Correlation analysis (Pearson and Spearman correlation)
- Residual analysis and diagnostics
6. Statistical Process Control (SPC)
- Introduction to control charts (X-bar, R, p-chart, etc.)
- Setting up and interpreting control charts
- Process capability analysis (Cp, Cpk, Pp, Ppk)
- Pareto analysis and cause-and-effect diagrams
7. Design of Experiments (DOE)
- Introduction to experimental design (factorial designs, fractional factorial designs)
- Conducting and analyzing factorial experiments
- ANOVA in DOE context
- Interaction effects and their interpretation
8. Time Series Analysis
- Introduction to time series data and trends
- Forecasting methods (moving averages, exponential smoothing)
- Seasonal effects and decomposition of time series
9. Advanced Statistical Techniques
- Principal Component Analysis (PCA)
- Multivariate analysis (MANOVA, factor analysis)
- Non-parametric tests (Mann-Whitney U test, Kruskal-Wallis test)
10. Minitab Macros & Automation
- Introduction to macros in Minitab
- Automating repetitive tasks with macros
- Creating custom reports and output
11. Reporting and Sharing Results
- Customizing output (graphs, tables, and results)
- Exporting results to Excel or Word
- Interpretation of results for decision-making