Enrollment limited; early enrollment advised. Enrollment deadline: October 7th, 2024
Introduction to Data Engineering
This course covers data engineering fundamentals, including data collection, storage, processing, and analysis. It explores the entire data pipeline and the technologies used, preparing students to apply these skills to real-world use cases in analytics and machine learning.
What you can learn.
- Understand the fundamentals of data engineering
- Explore data collection, storage and processing techniques
- Examine storage options (relational, NoSQL, real time and other options)
- Evaluate how to design and implement ETL/ELT/ingestion processes
- Gain knowledge of machine learning applications
- Apply concepts to build scalable data pipelines
About this course:
This course introduces data engineering. Learn about problems, opportunities and challenges that data engineering and technologies solve, including data collection, storage, processing, and analysis. Explore the technologies and tools used in data engineering, and covers the entire data pipeline, from data ingestion/ETL/ELT and storage to processing as well as serving data for analytics and machine learning applications. Students will learn about various use cases to apply these skills to.Fall 2024 Schedule
Winter 2025 Schedule
Enrollment limited; early enrollment advised. Enrollment deadline: January 20th, 2025
Corporate Education
Learn how we can help your organization meet its professional development goals and corporate training needs.
Donate to UCLA Extension
Support our many efforts to reach communities in need.