Data Engineering Courses
Data engineering courses can help you learn data modeling, ETL (extract, transform, load) processes, and data warehousing techniques. You can build skills in data pipeline construction, database management, and ensuring data quality and integrity. Many courses introduce tools like Apache Spark, Hadoop, and SQL, that support processing large datasets and optimizing data workflows. You’ll also explore cloud platforms such as AWS and Azure, which facilitate scalable data solutions and enhance your ability to manage data in various environments.
Popular Data Engineering Courses and Certifications
Skills you'll gain: Extract, Transform, Load, Data Store, Data Architecture, Data Pipelines, Big Data, Data Storage Technologies, Data Storage, Relational Databases, Data Infrastructure, Data Integration, Apache Hadoop, Data Warehousing, Databases, Data Lakes, SQL, Data Governance, Database Design, Apache Spark, NoSQL, Data Science
Skills you'll gain: NoSQL, Extract, Transform, Load, Database Administration, Apache Spark, Data Warehousing, Web Scraping, Data Pipelines, Apache Hadoop, Database Architecture and Administration, Database Design, Database Management, Relational Databases, Linux Commands, SQL, IBM Cognos Analytics, Generative AI, Professional Networking, Python Programming, Data Analysis, Data Science
Snowflake
Skills you'll gain: Data Engineering, Data Pipelines, Database Management, Data Manipulation, Databases, Data Transformation, Continuous Deployment, Extract, Transform, Load, Devops Tools, Data Warehousing, Change Control, DevOps, SQL, Data Integration, CI/CD, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Software Engineering Tools, Data Analysis
Skills you'll gain: Extract, Transform, Load, Web Scraping, Database Design, SQL, IBM DB2, Database Management, Data Store, Relational Databases, Database Systems, Data Architecture, Data Pipelines, Databases, Big Data, Data Storage Technologies, Unit Testing, Data Storage, Database Development, Python Programming, NumPy, Data Analysis
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, Command-Line Interface, Python Programming, Big Data, Data Science
Pragmatic AI Labs
Skills you'll gain: Prompt Engineering, MLOps (Machine Learning Operations), Data Pipelines, Databricks, Generative AI, Data Lakes, Generative AI Agents, Data Governance, Data Architecture, AI Enablement, Data Modeling, Data Management, Data Processing, Data Strategy, Data Quality, Scala Programming, SQL, Python Programming, Data Visualization, Data Literacy
What brings you to Coursera today?
Skills you'll gain: MySQL, Database Software, Database Management, Database Theory, Data Warehousing, Interactive Data Visualization, Dashboard, Database Administration, Data Visualization Software, Star Schema, Dashboard Creation, Linux Commands, Unix, Data Integrity, Unit Testing, Algorithms, Analytics, Database Architecture and Administration, Software Versioning, Command-Line Interface
Amazon Web Services
Skills you'll gain: Infrastructure as Code (IaC), Serverless Computing, CI/CD, Data Infrastructure, Amazon Web Services, Continuous Integration, Data Architecture, AWS Identity and Access Management (IAM), Devops Tools, AWS CloudFormation, Security Controls, Cloud Applications, Amazon CloudWatch, Terraform, Authentications
Skills you'll gain: Data Warehousing, Star Schema, Data Modeling, Database Design, Extract, Transform, Load, Database Development, Data Integration, Data Infrastructure, Database Architecture and Administration, Database Software, Relational Databases, Database Management, Business Intelligence, Database Theory, Performance Tuning, PostgreSQL, SQL
Skills you'll gain: AWS Kinesis, AWS SageMaker, AWS CloudFormation, Cloud Engineering, Data Quality, Docker (Software), Data Pipelines, Software Development Tools, Data Security, Data Import/Export, Database Systems, Databases, Version Control, Apache Spark, Apache Airflow, Data Modeling, Cloud Security, Database Management Systems, AWS Identity and Access Management (IAM), Data Processing
KodeKloud
Skills you'll gain: MLOps (Machine Learning Operations), Apache Kafka, Apache Airflow, Apache Spark, Extract, Transform, Load, Data Lakes, Data Pipelines, Distributed Computing, Real Time Data, DevOps, Data Processing, Feature Engineering, CI/CD, Pandas (Python Package), Continuous Integration
Google Cloud
Skills you'll gain: Metadata Management, Data Sharing, Data Pipelines, Extract, Transform, Load, Google Cloud Platform, Data Migration, Data Warehousing, Data Infrastructure, Apache Airflow, Data Processing, Big Data, Data Import/Export, Data Storage, Data Management, IT Automation, Cloud Storage, Apache Spark, Automation
In summary, here are 10 of our most popular data engineering courses
- Introduction to Data Engineering:Â IBM
- IBM Data Engineering:Â IBM
- Snowflake Data Engineering:Â Snowflake
- Data Engineering Foundations:Â IBM
- Python, Bash and SQL Essentials for Data Engineering:Â Duke University
- Enterprise AI and Data Engineering with Databricks:Â Pragmatic AI Labs
- Meta Database Engineer:Â Meta
- Data Engineering on AWS - Foundations:Â Amazon Web Services
- Data Modeling & Warehousing Fundamentals in Data Engineering:Â Coursera
- AWS Certified Data Engineer Associate Exam Prep:Â LearnKartS
