Statistics for Data Science and Business Analysis Course
Master statistics for data science and business analysis with real retail data. Learn hypothesis testing, regression, data cleaning, and clear reporting to turn complex datasets into confident, revenue-focused decisions.

4 to 360 hours of flexible workload
valid certificate in your country
What Will I Learn?
Master real-world data skills with this focused course on hypothesis testing, regression, and practical analysis for business decisions. Learn to clean and validate retail data, explore patterns, compare groups, model discount–revenue relationships, and run power analyses. Build reproducible workflows, create clear visuals, and translate results into concrete, data-driven recommendations for key stakeholders.
Elevify Differentials
Develop Skills
- Business hypothesis testing: turn raw questions into clear, testable claims.
- A/B and t-test analysis: compare segments, quantify impact, avoid false wins.
- Regression for revenue: model discount effects and report results for leaders.
- Data cleaning for retail: fix outliers, missing values, and schema issues fast.
- Insight communication: build concise, executive-ready charts and recommendations.
Suggested Summary
Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.What our students say
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