This Specialization provides a comprehensive pathway to mastering predictive analytics and statistical modeling using Minitab and Excel. Learners will explore hypothesis testing, regression, ANOVA, and logistic models to uncover insights from real-world data. Each course combines theoretical understanding with hands-on application, ensuring learners gain the skills to analyze patterns, interpret outputs, and make informed business decisions. By the end, participants will be able to apply predictive techniques confidently across business, finance, and research domains.
Predictive Analytics & Modeling with Minitab Specialization
Predictive Analytics & Modeling with Minitab Specialization
Master Predictive Analytics Using Minitab. Apply statistical modeling and regression analysis to make data-driven business decisions.
Instructor: EDUCBA
Included with 
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Apply predictive analytics and regression models using Minitab and Excel for real-world data interpretation.
Conduct hypothesis testing, correlation, ANOVA, and logistic regression to analyze business scenarios.
Translate statistical outputs into actionable insights for data-driven strategic decision-making.
Overview
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
October 2025
39 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
- Master a subject or tool with hands-on projects
- Develop a deep understanding of key concepts
- Earn a career certificate from EDUCBA
Specialization - 3 course series
What you'll learn
Apply predictive modeling and hypothesis testing using Minitab and Excel.
Analyze data with ANOVA, chi-square, and regression techniques.
Interpret statistical outputs to make real-world business decisions.
Skills you'll gain
Forecasting, Case Studies, Quantitative Research, Descriptive Statistics, Correlation Analysis, Microsoft Excel, Business Analytics, Statistical Methods, Statistical Hypothesis Testing, Financial Analysis, Data Analysis, Predictive Analytics, Statistical Analysis, Data-Driven Decision-Making, Minitab, and Regression Analysis
What you'll learn
Apply advanced regression and logistic modeling in Excel and Minitab.
Interpret outputs, diagnose model issues, and assess predictor significance.
Use ANOVA, t-tests, and correlation for business-focused data analysis.
Skills you'll gain
Statistical Methods, Microsoft Excel, Data Validation, Business Analytics, Data Analysis, Minitab, Regression Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Statistical Analysis, Statistical Modeling, Predictive Analytics, Predictive Modeling, Scatter Plots, Advanced Analytics, and Correlation Analysis
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 Analysis, Statistical Inference, Data-Driven Decision-Making, Statistical Hypothesis Testing, Statistical Methods, Minitab, Predictive Modeling, Data Analysis, Exploratory Data Analysis, Predictive Analytics, Descriptive Statistics, Regression Analysis, and Analytics
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
The Predictive Analytics and Modeling using Minitab Specialization can be completed in approximately 11 to 12 weeks, with an estimated commitment of 3–4 hours per week. This flexible schedule allows learners to progress at their own pace while gaining a strong command of predictive analytics, regression modeling, and statistical interpretation using Minitab and Excel. By the end of the program, participants will have developed both theoretical understanding and practical data analysis expertise applicable across business, finance, and research domains.
A basic understanding of statistics, data analysis concepts, and familiarity with Microsoft Excel is recommended. Prior exposure to analytical thinking or business data interpretation will be helpful but is not mandatory, as the courses provide guided instruction with practical examples.
Yes, it is recommended to take the courses in the suggested sequence. The Specialization begins with foundational concepts in predictive analytics, progresses to regression and logistic modeling, and concludes with applied data analysis using Minitab. This structured order ensures a smooth learning experience and a solid grasp of progressively advanced topics.
More questions
Financial aid available,