Statistics for Data Science and Business Analysis Course
This course equips learners with essential statistical tools for data-driven business decisions, focusing on hypothesis testing, regression analysis, and practical data manipulation in a retail context. Participants will gain hands-on experience in cleaning datasets, performing A/B tests, modeling relationships, and communicating insights effectively to stakeholders.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
Master practical data skills through this targeted course on hypothesis testing, regression, and hands-on analysis for business choices. Learn to tidy and check retail data, uncover trends, compare groups, model links between discounts and revenue, and conduct power analyses. Develop repeatable processes, produce straightforward visuals, and convert findings into solid, data-backed suggestions for important stakeholders.
Elevify advantages
Develop skills
- Business hypothesis testing: transform 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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