Ages 21+
16 Weeks
Difficulty: Expert ⭐⭐⭐⭐
Data Engineering Foundations
Build data pipelines! Learn ETL, APIs, advanced SQL, cloud platforms (AWS/Azure), and data quality. Complete a comprehensive data engineering bootcamp.
Prerequisites
This course builds on knowledge from previous courses. We recommend completing these first:
Python for Complete Beginners
Learn Python from zero. Automate tasks and analyze data!
SQL & Database Fundamentals
Master SQL and database design. Essential for data and business roles!
Can I skip this? If you have equivalent experience (e.g., know Scratch basics for Course 2), you may be able to start here. Contact us to discuss your background.
Overview
Build data pipelines! Learn ETL, APIs, advanced SQL, cloud platforms (AWS/Azure), and data quality. Complete a comprehensive data engineering bootcamp.
What You'll Build
- Build data pipelines
- Understand data architecture
- Work with cloud platforms
- Career-ready data engineer skills
What You'll Learn
Comprehensive bootcamp
Cloud platforms
Real-world projects
Career-focused
Curriculum
Week 1-4
Python for Data Engineering
- •Advanced Python
- •ETL concepts
- •File processing
Week 5-8
APIs & Data Integration
- •REST APIs
- •Data ingestion
- •Web scraping
Week 9-12
Advanced SQL & Databases
- •Advanced SQL
- •Database design
- •Optimization
Week 13-16
Cloud & Data Pipelines
- •AWS/Azure basics
- •Pipeline orchestration
- •Data quality
- •Final projects
Note: Detailed curriculum content will be available soon. This is a placeholder overview of the topics covered.
What's Next?
Continue your learning journey with the next course in this path:
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8 WeeksDifficulty: ⭐○○○
Course Details
Requirements
- Laptop required
- Internet connection
- Courses 9 + 10 completion OR equivalent experience
Difficulty Level
⭐⭐⭐⭐
Expert