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Data Science and Big Data Analytics Course

Data Science and Big Data Analytics Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

The Data Science and Big Data Analytics Course teaches you how to ingest, clean, and validate large event datasets, design scalable storage, and run efficient SQL and PySpark queries. You will build engagement and churn metrics, perform cohort and device analysis, and turn insights into actions with A/B tests, KPI tracking, dashboards, and clear reports, gaining practical, end-to-end analytics skills fast.

Elevify advantages

Develop skills

  • Churn signal engineering: build labelled features that predict user churn quickly.
  • Scalable data pipelines: design batch and streaming flows with Spark and Kafka.
  • Engagement analytics: compute RFM, cohorts, and watch-time KPIs that matter.
  • Data quality at scale: clean, validate, and monitor large event datasets quickly.
  • Experimentation to action: run A/B tests and turn metrics into product decisions.

Suggested summary

Before starting, you can change the chapters and workload. Choose which chapter to start with. Add or remove chapters. Increase or decrease the course workload.
Workload: between 4 and 360 hours

What our students say

Your lessons 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 Carlo
Giulio CarloDigital Marketing Student
I like how the lessons are straight to the point and how I can change chapters and skip content I don't need.
Mariana Ferres
Mariana FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.
André Felipe
André FelipePrompt Engineering Student

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