Data Analysis Course
4.8/5
Master BI-ready data analysis: clean messy e‑commerce data, build core sales KPIs, analyze time series and seasonality, segment customers and products, measure pricing and discount impact, and turn insights into clear, actionable reports.

4.8 in evaluation
from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Data Analysis Course shows you how to clean e-commerce data, validate fields, and handle missing values using efficient CSV workflows. You will compute core sales metrics, build clear segment and time series views, analyze discounts and pricing impact, and design simple experiments. Finally, you will create reproducible reports, dashboards, and concise recommendations that drive measurable results.
Elevify advantages
Develop skills
- Time series insight: detect trends, seasonality and outliers in BI sales data.
- Segmentation analytics: build RFM, cohort and product segments that drive revenue.
- Pricing and discount analysis: estimate elasticity and promotion lift for BI decisions.
- Data quality for BI: clean, validate and document large e-commerce datasets fast.
- BI reporting mastery: design clear dashboards and concise, action-focused reports.
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
Your classes are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of my interest without needing to change platforms... I thank you for everything you do, I've already recommended you to other people...

Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can switch chapters and skip content I don't need.

Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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