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Data Science and Big Data Analytics Course

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

What will I learn?

This course teaches ingesting, cleaning, and validating large event datasets, designing scalable storage, and executing efficient SQL and PySpark queries. Learners will create engagement and churn metrics, conduct cohort and device analysis, and apply insights through A/B tests, KPI tracking, dashboards, and reports, acquiring hands-on end-to-end analytics skills rapidly.

Elevify advantages

Develop skills

  • Churn signal engineering: build labelled features that predict user churn quickly.
  • Scalable data pipelines: design batch and streaming flows using 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 the 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 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 Carlo
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 Ferres
Mariana FerresPhotography Student
I like the content and the way the videos are presented and transcribed, which speeds up the process!
Luciana Alvarenga
Luciana AlvarengaNail Design Student
The platform is fast and easy to use. The variety of content and the supplementary videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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