Data Engineering Fundamentals

Course Overview

Data Engineering Fundamentals is a hands‑on, foundational course that teaches learners how to design, build, and manage data pipelines and analytical data systems. The course covers core concepts such as data modeling, ETL/ELT workflows, databases, data warehousing, batch vs. streaming, and cloud‑based data platforms. Learners gain practical experience with modern tools used in real data‑engineering environments.

Target Audience

This course is ideal for:

• Aspiring data engineers and analytics engineers

• Data analysts or BI developers transitioning into engineering roles

• Software engineers expanding into data‑centric systems

• Students or career switchers entering the data engineering field

• Anyone who wants to understand how modern data pipelines and architectures work

Course Outcomes

By the end of this course, learners will be able to:

• Understand core data engineering concepts: data ingestion, transformation, storage, and orchestration

• Work with relational and NoSQL databases

• Build ETL/ELT pipelines using Python and SQL

• Design data models for analytics and reporting

• Understand data warehousing concepts (star schema, fact/dimension tables)

• Work with batch and real‑time data processing frameworks

• Use cloud‑based data services (AWS, Azure, or GCP) at a foundational level

• Apply best practices for data quality, governance, and reliability