Statistics for Data Science and Business Analysis Course
This course equips learners with essential statistical tools for data-driven decision-making in business contexts, focusing on hypothesis testing, regression analysis, and practical data handling techniques to derive actionable insights from retail data.

flexible workload of 4 to 360h
valid certificate in your country
What will I learn?
Master practical data skills with this targeted course on hypothesis testing, regression, and hands-on analysis for business decisions. Learn to clean and validate retail data, explore patterns, compare groups, model discount–revenue relationships, and conduct power analyses. Build reproducible workflows, create clear visuals, and translate results into solid, data-driven recommendations for key stakeholders.
Elevify advantages
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 the 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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