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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 through a practical course that guides you from designing clean event logs to creating efficient, production-ready pipelines. Learn to create strong schemas, process large JSON/CSV datasets, produce realistic samples, and develop modular workflows for cleaning, enriching, and partitioning data. Practice aggregations, sessionization, logging, validation, and tuning spark-submit for dependable, scalable video analytics tasks.

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.
  • Optimize PySpark jobs: sessionization, aggregations, joins, and performance tuning.

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 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... thank you for everything you do, I've already recommended you to others...
Giulio Carlo
Giulio CarloDigital Marketing Student
I like how the lessons get 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 extra videos really help with learning.
Giulio Carlo
Giulio CarloPrompt Engineering Student

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