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PySpark Course

PySpark Course
from 4 to 360h flexible workload
certificate valid in your country

What will I learn?

Master PySpark with a focused, hands-on course that takes you from clean event log design to optimised, production-ready pipelines. Learn to define robust schemas, ingest large JSON/CSV datasets, generate realistic samples, and build modular cleaning, enrichment, and partitioning workflows. Practice aggregations, sessionisation, logging, validation, and tuning spark-submit for reliable, scalable video analytics jobs.

Elevify advantages

Develop skills

  • Build robust PySpark pipelines: modular, logged, and production-ready.
  • Design video event schemas: clean identifiers, timestamps, and playback metrics.
  • Generate realistic big data samples: synthetic logs with edge cases and skew.
  • Clean, enrich, and partition PySpark DataFrames for fast analytics at scale.
  • Optimise PySpark jobs: sessionisation, aggregations, joins, and performance tuning.

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 lessons are perfect. I purchased the one-year package and finally have the opportunity to follow various topics of interest without needing to change platforms... I'm grateful 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 really help with learning.
André Felipe
André FelipePrompt Engineering Student

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