This intensive 16-week Data Engineering course is designed to take learners from foundational programming skills to mastering modern data engineering tools used in top tech companies. Through a hands-on, project-driven curriculum, you will learn how to build scalable data pipelines, process big data using PySpark and Databricks, orchestrate workflows with Airflow, manage real-time streams with Kafka, and develop analytics-ready datasets using DBT.
The program also covers essential components of the modern data stack—SQL, Python, cloud-based ETL, streaming pipelines, and data visualization—ensuring you gain the practical experience required for real-world data engineering roles. By the end of the course, you’ll complete a capstone project demonstrating your ability to design, build, and orchestrate a full data pipeline from ingestion to visualization.
Perfect for beginners and upskillers alike, this course prepares you for industry positions such as Data Engineer, ETL Developer, Big Data Engineer, Analytics Engineer, or Cloud Data Specialist.
