Learners will be able to explain predictive modeling concepts, analyze group differences with ANOVA, interpret descriptive statistics, and conduct t-tests to evaluate relationships in real-world datasets. By completing this course, participants will strengthen their ability to summarize data, identify patterns, assess variability, and apply hypothesis testing using Minitab’s powerful statistical tools.

Data Analysis with Minitab: Analyze & Apply

Data Analysis with Minitab: Analyze & Apply
This course is part of Predictive Analytics & Modeling with Minitab Specialization

Instructor: EDUCBA
Access provided by PSGR Krishnammal College for Women
15 reviews
What you'll learn
Explain predictive modeling and hypothesis testing concepts.
Conduct ANOVA and t-tests to evaluate group differences.
Summarize, analyze, and interpret real-world datasets using Minitab.
Skills you'll gain
- Statistical Reporting
- Data Analysis Software
- Statistical Modeling
- Predictive Analytics
- Statistical Inference
- Statistical Methods
- Descriptive Analytics
- Data Analysis
- Statistical Hypothesis Testing
- Analytics
- Regression Analysis
- Predictive Modeling
- Descriptive Statistics
- Data-Driven Decision-Making
- Statistical Analysis
Tools you'll learn
Details to know

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Showing 3 of 15
Reviewed on Feb 18, 2026
The ANOVA and t-test explanations were straightforward and easy to follow. The step-by-step demonstrations in Minitab made complex statistical methods much more approachable.
Reviewed on Feb 20, 2026
The real-world case studies, such as customer complaints and loan applicant data, made the learning experience practical and relevant. It truly felt like solving real business problems.
Reviewed on Feb 24, 2026
This course strengthened my ability to interpret descriptive statistics and identify meaningful patterns in data. I now feel more confident summarizing and analyzing datasets professionally.




