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Data Processing Course

Data Processing Course
4 to 360 hours of flexible workload
certificate valid in your country

What Will I Learn?

This Data Processing Course teaches you how to design reliable pipelines, transform JSON into clean relational tables using SQL or PySpark, and select the appropriate tools like Spark, dbt, and Airflow. You will profile raw data, assess quality, manage schema drift, and document datasets clearly. Learn CI/CD, observability, alerts, and runbooks to ensure your data models remain accurate, trustworthy, and prepared for advanced analytics.

Elevify Advantages

Develop Skills

  • Build robust ETL/ELT pipelines with schema control and CI/CD in days, not months.
  • Profile raw data quickly to spot anomalies, duplicates, and quality issues early.
  • Design high-performance app activity models with clean keys, partitions, and indexes.
  • Implement automated data tests, alerts, and SLOs for reliable data products.
  • Write clear runbooks and docs for smooth handoffs and compliant data operations.

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 my interest without needing to change platforms... I thank you 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 switch 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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