Data Science and Data Analytics Course
This course provides hands-on skills in data cleaning, predictive modeling, and actionable analytics for e-commerce, focusing on practical feature engineering, validation, and visualization techniques to drive business decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This short Data Science and Data Analytics Course teaches you how to clean and arrange real e-commerce data, build easy-to-understand predictive models, and check them using business metrics. You will learn practical ways to engineer features, validate with time, and test model stability, then change insights into simple recommendations, repeatable reports, and dashboards that support data-based decisions with real results.
Elevify advantages
Develop skills
- Build predictive models: make business-useful scores and clear risk signs.
- Clean BI data quickly: repair IDs, outliers, missing values, and make RFM features.
- Turn analytics into action: plan tests, KPIs, and strong BI guides.
- Communicate insights clearly: executive presentations, ready-for-check notebooks, BI dashboards.
- Monitor data quality: plan tracking, schemas, and rules for strong BI.
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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