Data Engineering Essentials
Completed by Sumit Bhanse
April 27, 2026
5 hours (approximately)
Sumit Bhanse's account is verified. Coursera certifies their successful completion of Data Engineering Essentials
What you will learn
Build scalable data pipelines using Pandas Polars and Apache Spark for diverse dataset sizes
Architect real time streaming solutions with Apache Kafka and feature stores for live ML inference
Automate complex ML workflows using Airflow and Prefect to ensure reliable continuous training
Skills you will gain
- Category: Data Pipelines
- Category: Feature Engineering
- Category: DevOps
- Category: Extract, Transform, Load
- Category: Data Transformation
- Category: Apache Airflow
- Category: Pandas (Python Package)
- Category: Apache Kafka
- Category: Data Processing
- Category: Apache Spark
- Category: Distributed Computing
- Category: Continuous Integration
