Big Data Analytics Course
Master big data analytics for Business Intelligence. Learn to clean retail data, build predictive models, forecast revenue, design KPIs, and turn insights into clear, executive-ready recommendations that drive measurable growth and smarter decisions.

from 4 to 360h flexible workload
valid certificate in your country
What will I learn?
This Big Data Analytics Course shows you how to clean retail transaction data, build reliable KPIs, and run solid exploratory analysis to uncover performance drivers. Learn predictive models for returns and customer behavior, time series forecasting for revenue, and clear model validation. Turn insights into prescriptive actions, A/B tests, and executive-ready reports that directly support smarter, data-driven decisions.
Elevify advantages
Develop skills
- Predictive models for returns: build, validate, and explain customer risk scores.
- Time series revenue forecasting: apply ARIMA and Prophet for fast BI planning.
- Retail KPI dashboards: design clear AOV, margin, and return-rate views for execs.
- Prescriptive analytics: turn data into targeted promos, pricing, and channel moves.
- A/B test design for BI: set metrics, sample sizes, and read results with confidence.
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 really help with learning.

André FelipePrompt Engineering Student
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