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
This course is part of Predictive Analytics & Modeling with Minitab Specialization

Instructor: EDUCBA
Included with
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
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October 2025
8 assignments
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There are 2 modules in this course
This module introduces learners to the core principles of predictive modeling, regression techniques, ANOVA analysis, and practical implementation using Minitab. Participants will explore how to interpret statistical outputs, compare variations across datasets, and document meaningful observations to support data-driven decisions.
What's included
8 videos4 assignments1 plugin
This module focuses on applying descriptive statistics, hypothesis testing, and real-world case studies to develop practical insights. Learners will work with datasets on customer complaints, resting heart rates, and loan applicants to master statistical testing and decision-making using Minitab.
What's included
8 videos4 assignments
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