Data Programming Course
This course provides hands-on training in building efficient, production-ready data pipelines, covering programming fundamentals, data manipulation, automation, and best practices for reliable data workflows.

flexible workload from 4 to 360h
valid certificate in your country
What will I learn?
The Data Programming Course teaches you how to create reliable, production-ready data workflows in a short, practical format. You will learn essential programming basics, strong file input and output, and useful methods for cleaning, checking, and changing real datasets. You will also practise automation using command-line tools, logging, and error management, as well as packaging, documentation, and reporting to make your pipelines simple to operate, share, and keep up.
Elevify advantages
Develop skills
- Build strong data pipelines: clean, check, and transform real-world datasets.
- Automate data workflows: use CLI tools, logging, and safe error handling quickly.
- Master CSV and JSON: parse, stream, and save tabular and semi-structured data.
- Design reliable outputs: clear reports, partitions, and metadata for analytics teams.
- Ship production-ready code: tests, docs, and reproducible data deliverables fast.
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.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 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 FerresPhotography Student
I like the content and the way videos are presented and transcribed, which speeds up the process!

Luciana AlvarengaNail Design Student
The platform is fast, simple to use. The diversity of content and complementary videos help a lot with learning.

André FelipePrompt Engineering Student
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