
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
Beginner · Course · 1 - 4 Weeks

Multiple educators
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
Intermediate · Professional Certificate · 3 - 6 Months

LearnKartS
Skills you'll gain: AWS Kinesis, AWS SageMaker, Amazon CloudWatch, Serverless Computing, Containerization, Amazon Web Services, Data Migration, Amazon DynamoDB, Amazon S3, AWS CloudFormation, Amazon Redshift, Infrastructure as Code (IaC), CI/CD, SQL, Extract, Transform, Load, Cloud Engineering, Real Time Data, Cloud Security, AWS Identity and Access Management (IAM), Data Processing
Beginner · Specialization · 1 - 3 Months

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
Beginner · Professional Certificate · 3 - 6 Months
Duke University
Skills you'll gain: Pandas (Python Package), Bash (Scripting Language), Version Control, Jupyter, Linux Commands, Git (Version Control System), Shell Script, Linux, Web Scraping, Linux Administration, Data Manipulation, MySQL, Microservices, AWS SageMaker, SQL, JSON, Cloud Engineering, Python Programming, Big Data, Data Science
Beginner · Specialization · 3 - 6 Months

Snowflake
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
Beginner · Professional Certificate · 1 - 3 Months

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
Beginner · Specialization · 3 - 6 Months

DeepLearning.AI
Skills you'll gain: Data Pipelines, Data Architecture, Requirements Analysis, Amazon Web Services, Data Warehousing, Data Processing, System Requirements, Extract, Transform, Load, Performance Tuning, Security Controls, Cloud Computing, Data Transformation, Scalability
Intermediate · Course · 1 - 4 Weeks

Amazon Web Services
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
Beginner · Course · 1 - 4 Weeks

Skills you'll gain: Feature Engineering, PySpark, Data Import/Export, Apache Spark, Apache Hadoop, Dashboard, Cloud Services, Applied Machine Learning, Apache Hive, Application Programming Interface (API), Jupyter, Data Quality, Big Data, Data Cleansing, Data Transformation, Artificial Intelligence and Machine Learning (AI/ML), Data Validation, Looker (Software), Scalability, SQL
Intermediate · Specialization · 3 - 6 Months

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
Intermediate · Course · 1 - 4 Weeks

Duke University
Skills you'll gain: Software Engineering, Distributed Computing, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Pipelines, Amazon S3, Command-Line Interface, Continuous Integration, Python Programming, Data Governance, NumPy, Rust (Programming Language)
Intermediate · Course · 1 - 4 Weeks
Browse the data engineering courses below—popular starting points on Coursera.
Yes. You can start learning data engineering on Coursera for free in two ways:
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.‎
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.‎
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.‎
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.‎