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PySpark Course

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

What will I learn?

Master PySpark with a focused, hands-on course that takes you from clean event log design to optimized, 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, sessionization, 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.
  • Optimize PySpark jobs: sessionization, 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 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, and 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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