- Teaches Python, SQL, and data modeling for data engineering tasks.
- Covers big data frameworks like Hadoop and Spark for large-scale data processing.
- Provides hands-on exercises with ETL pipelines, Apache Airflow, and Kafka.
- Includes cloud integration with AWS, Azure, and GCP for scalable data workflows.
- Prepares learners for roles like Data Engineer, Big Data Engineer, and Cloud Data Engineer.
