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

Instructor: EDUCBA
Included with
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 Hypothesis Testing
- Descriptive Statistics
- Statistical Methods
- Statistical Reporting
- Statistical Analysis
- Predictive Modeling
- Regression Analysis
- Data-Driven Decision-Making
- Data Analysis
- Statistical Inference
- Data Analysis Software
- Predictive Analytics
- Analytics
- Descriptive Analytics
- Statistical Modeling
Tools you'll learn
Details to know

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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 11, 2026
It was great. I had taken a course like this online but got a lot more out of this one because it’s hands on.
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.








