Data Engineering

Data Engineering Learning path

In this Data Engineering learning path, you will learn:

- Build and maintain scalable data pipelines using Python and modern tools.
- Design and implement efficient data storage solutions using proper data modeling.
- Develop optimized ETL processes using PySpark for large-scale data transformations.
- Create real-time data processing systems with AWS services and streaming technologies.


Syllabus:

- Introduction to Data Engineering
- Introduction to Python
- Advanced Python for Data Engineering
- Data Modeling
- Data Warehousing
- ETL Fundamentals using PySpark
- Real-Time Data Processing

This learning path includes:
- 29 Lessons
- 30 Readings
- 37 Video
- 7 Knowledge tests 

Learning path link