
(DEPA-300)
This one-day, hands-on training is designed to equip participants with the practical skills to leverage Python for data engineering use-cases.
Through real-world examples and interactive exercises, participants will learn how to process semi-structured data formats, engage with external API data sources, and implement a dynamic data quality notebook solution.
By the end of this course, participants will be able to:
The intended audience for this course includes data analysts, data engineers, business intelligence developers, and anyone responsible for data extraction, load, and transformation (ELT) tasks who have completed our Python – Beginner (DEPB-100) course or possess equivalent foundational knowledge and our Python – Intermediate (DEPI-200) course.
This course is offered privately for groups of around 10–12 participants. Delivered either onsite or remotely by our experienced consultants, it can be tailored to meet your organisation’s specific needs.
For a selection of our most popular courses, we offer public training sessions - perfect for individuals or small teams who don’t have enough participants for a private course.
There is no upcoming public training for this course.
High quality outcomes
Don Gooden
Head of Engineering, Mutinex
I can’t recommend Altis enough
Huss Afzal
Director of Data, Deputy
A real differentiator for our business
Robbie Francis
Managing Director, Eposability