Best Data Engineering Courses to Take on Coursera in 2025
Ramola Gautam
Google Cloud Professional Data Engineer Certificate Program: This is an official course from Google Cloud that covers data processing, machine learning models, and pipeline design.
Data Engineering with Python by IBM: Hands-on with Python, ETL workflows, and big data tools, this is a great course for learners new to the data engineering world.
Advanced Data Engineering with Databricks: Become a Spark master, learn Delta Lake and pipeline design principles straight from Databricks engineers and experts.
Data Warehousing for Business Intelligence Specialization: This 3-course specialization focuses on data warehouse modeling, OLAP, and business intelligence principles from the University of Illinois.
Introduction to Data Engineering by IBM: This course is a fantastic introduction to building foundational skills related to databases, data lakes, and cloud fundamentals.
ETL and Data Pipelines with shell: Learn about real-world ETL tools and ways to automate your workflows and pipelines by using popular open-source tools such as Apache Airflow.
Data Engineering Capstone Project by Google: Put your skills to the test with a practical project and implement a data pipeline using GCP tools from start to finish.
Big Data Essentials: HDFS, MapReduce, and Spark RDD by Yandex: Understand the fundamental building blocks of big data with extensive modules covering HDFS, MapReduce, and Spark.
AWS Data Analytics Specialization: Use AWS tools to collect, process, and analyze large-scale data quickly and securely in the cloud.