Data Engineering: From Zero to Hero
Published 5/2025
Duration: 4h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 968 MB
Genre: eLearning | Language: English
Published 5/2025
Duration: 4h 8m | .MP4 1280x720 30 fps(r) | AAC, 44100 Hz, 2ch | 968 MB
Genre: eLearning | Language: English
Master the Fundamentals of Modern Data Engineering — No Experience Needed
What you'll learn
- What is Data Engineering?
- Identify Data Sources and Data Destinations
- Define what a Data Pipeline is
- Interact with an API using Python
- Cleaning a Dataset using SQL and Python
- Identify Transformations that can be applied to Data with Python and SQL
- Orchestrate Data Pipelines with Airflow
Requirements
- Basic programming knowledge with Python is highly recommended, but not mandatory
- Basic knowledge of SQL
- Familiarity with Computer Science
Description
Step into the world of Data Engineering with confidence and curiosity — no prior experience is required!
"Data Engineering: From Zero to Hero"is the perfect starting point for anyone eager to understand how data is collected, transformed, stored, and used in today’s tech-driven world.
Whether you're an aspiring data professional, a curious developer, or someone trying to switch careers, this course will walk you through thecore concepts,tools, andarchitecturesthat power data pipelines in modern organizations.
In this course, you’ll learn:
What Data Engineering really is — and why it's crucial today
What a Data Engineer does on a daily basis and what kind of skills one needs to have
How data flows through an organization usingETL/ELT pipelines
Key components of a modern data stack:databases, data lakes, data warehouses, orchestration tools, and more
The essentials ofdata modeling, includingstar schema,normalization, anddenormalization
Why Data Pipelines orchestration is important and the basics of implementing it
This course combines clear explanations with practical examples to help you build a solid foundation in data engineering — the backbone of every data-driven company.
By the end of the course, you’ll have the confidence and clarity to dive deeper into specialized tools and start exploring hands-on projects.
Who this course is for:
- Data Professionals who want to become Data Engineers
- Beginner Data Engineers
- Software Engineers curious about Data Engineering
- Data Analysis Professionals curious about Data Engineering
More Info