Data Science and Big Data Analytics Course
This course provides hands-on experience in data science and big data analytics, covering data ingestion, processing, analysis, and actionable insights using tools like SQL, PySpark, Spark, and Kafka.

flexible workload from 4 to 360h
valid certificate 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 fast.
- 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.What our students say
Your classes are perfect. I got the one-year package and finally have the chance to follow several topics I'm interested in without having to switch platforms... I appreciate everything you do, I've already recommended you to others...

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 the videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the extra videos really help with learning.

Giulio CarloPrompt Engineering Student
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