Master the Fundamentals of Modern Data Engineering — No Experience Needed
Step into the world of Data Engineering with confidence and curiosity — no prior experience is required!
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.
Course Content
- Course Introduction –> 3 lectures • 5min.
- Introduction to Data Engineering –> 5 lectures • 16min.
- Data Engineering Ecosystem –> 12 lectures • 32min.
- From Data Sources to Destinations –> 15 lectures • 53min.
- Data Modeling –> 16 lectures • 58min.
- Data Wrangling –> 15 lectures • 42min.
- Orchestrating Data Pipelines –> 11 lectures • 43min.
Requirements
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 the core concepts, tools, and architectures that 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 using ETL/ELT pipelines
- Key components of a modern data stack: databases, data lakes, data warehouses, orchestration tools, and more
- The essentials of data modeling, including star schema, normalization, and denormalization
- 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.