What are the best data engineering courses online?

Browse the data engineering courses below—popular starting points on Coursera. DeepLearning.AI Data Engineering: DeepLearning.AI Introduction to Data Engineering: IBM IBM Data Engineering: IBM Snowflake Data Engineering: Snowflake Introduction to Data Engineering: DeepLearning.AI Introduction to Modern Data Engineering with Snowflake: Snowflake Data Engineering on AWS - Foundations: AWS

Can I take free data engineering courses on Coursera?

Yes. You can start learning data engineering on Coursera for free in two ways: Preview the first module of many data engineering courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available). Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial. If you want to keep learning, earn a certificate in data engineering, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.

What will I learn in a data engineering course?

You’ll learn how to build and manage data processing systems, work with data warehouses and data lakes, use tools like SQL , Apache Spark , and Airflow, and understand how to design reliable and scalable data pipelines.

Do I need a background in data science or programming to start learning data engineering?

Not necessarily. Many beginner-friendly courses start with the fundamentals and explain data engineering concepts clearly. However, some familiarity with programming and data analysis can be helpful as you progress to more advanced topics.

Can Coursera’s data engineering courses help me in my career?

Yes. Data engineering is a fast-growing field with high demand in tech, finance , healthcare , and many other industries. Coursera’s data engineering courses can help you build job-ready skills, prepare for certification exams, and earn certificates that showcase your expertise to employers.

Best Data Engineering Courses & Certificates Online [2025]

Find the best Data Engineering course for your goals

Status: Free Trial
Multiple educators
DeepLearning.AI Data Engineering
Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Architecture, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, File Systems, Apache Spark, Database Systems, Feature Engineering, Data Integration, AWS Kinesis, Data Management
4.7
Rating, 4.7 out of 5 stars
529 reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Introduction to Data Engineering
Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security, Data Science
4.7
Rating, 4.7 out of 5 stars
3.4K reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Status: AI skills
IBM
IBM Data Engineering
Skills you'll gain: NoSQL, Apache Spark, Data Warehousing, Apache Hadoop, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, IBM Cognos Analytics, MySQL, Database Administration, Data Store, Generative AI, Professional Networking, Data Import/Export, Python Programming, Data Analysis, Data Science
Build toward a degree
4.6
Rating, 4.6 out of 5 stars
61K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Data Engineering Foundations
Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, IBM DB2, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Databases, Data Warehousing, Data Governance, Database Management Systems, Relational Databases, Stored Procedure, Data Import/Export, Programming Principles, Python Programming
4.6
Rating, 4.6 out of 5 stars
58K reviews
Beginner · Specialization · 3 - 6 Months
Status: New
Status: Free Trial
Snowflake
Snowflake Data Engineering
Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Data Lakes, Extract, Transform, Load, Data Warehousing, DevOps, Cloud Development, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Development Tools, Stored Procedure, Data Analysis
4.8
Rating, 4.8 out of 5 stars
267 reviews
Beginner · Professional Certificate · 1 - 3 Months
Status: Free Trial
DeepLearning.AI
Introduction to Data Engineering
Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Modeling, Data Processing, System Requirements, Performance Tuning, Security Controls, Data Transformation, Scalability
4.8
Rating, 4.8 out of 5 stars
434 reviews
Intermediate · Course · 1 - 4 Weeks

What brings you to Coursera today?

Start my career

Change my career

Grow in my current role

Explore topics outside of work

Status: Free Trial
Google Cloud
Data Engineering, Big Data, and Machine Learning on GCP
Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Dashboard, Cloud Services, Applied Machine Learning, Application Programming Interface (API), Apache Hive, Jupyter, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Query Languages, Apache Hadoop, Serverless Computing, Application Deployment, Looker (Software), Cloud Computing, Scalability, SQL
4.6
Rating, 4.6 out of 5 stars
4.4K reviews
Intermediate · Specialization · 3 - 6 Months
Status: Free
Amazon Web Services
Data Engineering on AWS - Foundations
Skills you'll gain: Infrastructure as Code (IaC), Cloud Engineering, Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Data Architecture, AWS Identity and Access Management (IAM), AWS CloudFormation, Infrastructure Architecture, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform
4.6
Rating, 4.6 out of 5 stars
203 reviews
Beginner · Course · 1 - 4 Weeks
Status: Free Trial
Meta
Meta Database Engineer
Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, Database Management, MySQL Workbench, Extract, Transform, Load, Data Modeling, Data Structures, SQL, Unix Commands, Relational Databases, Databases, Git (Version Control System), Database Systems, GitHub, Stored Procedure, Object Oriented Programming (OOP), Database Administration, Database Development
4.6
Rating, 4.6 out of 5 stars
7.4K reviews
Beginner · Professional Certificate · 3 - 6 Months
Status: Free Trial
Google Cloud
Preparing for Google Cloud Certification: Cloud Data Engr
Skills you'll gain: Dataflow, Data Pipelines, Real Time Data, Feature Engineering, PySpark, Cloud Storage, Data Import/Export, Apache Spark, Data Maintenance, Google Cloud Platform, Apache Hadoop, Dashboard, Data Lakes, Tensorflow, Big Data, Cloud Services, Data Storage, MLOps (Machine Learning Operations), Data Analysis, Data Warehousing
4.6
Rating, 4.6 out of 5 stars
4.9K reviews
Intermediate · Professional Certificate · 3 - 6 Months
Status: Free Trial
IBM
Python Project for Data Engineering
Skills you'll gain: Web Scraping, Data Transformation, Extract, Transform, Load, Data Manipulation, SQL, Integrated Development Environments, Data Processing, Databases, Application Programming Interface (API), Code Review, Restful API, Python Programming, Unit Testing, Style Guides
4.6
Rating, 4.6 out of 5 stars
804 reviews
Intermediate · Course · 1 - 4 Weeks
Status: Free Trial
IBM
Databases and SQL for Data Science with Python
Skills you'll gain: SQL, Relational Databases, Stored Procedure, Databases, Query Languages, Jupyter, Data Manipulation, Data Analysis, Pandas (Python Package), Transaction Processing, Python Programming
4.7
Rating, 4.7 out of 5 stars
22K reviews
Beginner · Course · 1 - 3 Months