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: Data Architecture, Distributed Computing, Data Modeling, Scalability, Data Management, Data Strategy, Data Pipelines, Software Architecture, Semantic Web, Continuous Deployment, Information Architecture, CI/CD, Maintainability, AI Enablement, Organizational Structure, AI Integrations, Product Automation, Interoperability, Data Analysis, Generative AI
Skills you'll gain: Metadata Management, Extract, Transform, Load, Data Migration, Google Cloud Platform, Data Pipelines, Data Import/Export, Apache Airflow, Data Sharing, Data Storage Technologies, Data Processing, Data Integration, IT Automation, Cloud Storage, Data Storage, Data Store, Real Time Data
- Status: Preview
Skills you'll gain: Data Migration, Google Cloud Platform, Cloud Storage, Extract, Transform, Load, Data Pipelines, Data Import/Export, Data Processing, Data Capture, Apache Airflow, Data Integration, Data Storage, SQL, IT Automation, Data Management
Skills you'll gain: Data Sharing, Extract, Transform, Load, Cloud Storage, Google Cloud Platform, Data Migration, Data Pipelines, Data Import/Export, Big Data, Data Infrastructure, Data Warehousing, Data Storage, Data Processing, Data Management, Metadata Management, Automation
Skills you'll gain: Data Pipelines, Data Sharing, Extract, Transform, Load, Data Infrastructure, Cloud Engineering, Apache Airflow, Data Migration, Data Processing, Data Warehousing, Data Integration, Google Cloud Platform, Metadata Management, Data Lakes, Data Import/Export, Cloud Storage, Big Data, IT Automation, Data Transformation
Status: Free TrialSkills you'll gain: Feature Engineering, Data Preprocessing, Data Cleansing, Apache Spark, Extract, Transform, Load, Data Processing, Data Pipelines, Data Transformation, Amazon Web Services, Data Wrangling, Responsible AI, Data Quality, Data Integrity, Data Validation, Model Training, Personally Identifiable Information
Skills you'll gain: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Data Infrastructure, Big Data, Data Integration, Apache Airflow, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Storage, Data Transformation, Apache Spark, Serverless Computing
Status: PreviewNortheastern University
Skills you'll gain: Data Governance, Data Warehousing, Extract, Transform, Load, Data Integration, Cloud Development, Data Quality, Cloud Engineering, Cloud-Based Integration, Data Infrastructure, Data Management, Cloud-Native Computing, Data Architecture, Data Pipelines, Data Processing, Process Design, DevOps, Data Store, Business Process Modeling, Cloud Deployment, Dataflow
Status: PreviewNortheastern University
Skills you'll gain: Time Series Analysis and Forecasting, Exploratory Data Analysis, Probability Distribution, Pandas (Python Package), Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Text Mining, Data Manipulation, Computational Thinking, Statistical Methods, Data Processing, Statistical Analysis, Data Preprocessing, Data Structures, Statistics, Data Cleansing, Programming Principles, Descriptive Statistics
Skills you'll gain: Data Processing, Metadata Management, Cloud Storage, Google Cloud Platform, Data Pipelines, Data Migration, Big Data, Data Storage, Extract, Transform, Load, Data Infrastructure, Data Lakes, Data Import/Export, Cloud Services, Data Management, Automation, Data Transformation
Status: Free TrialSkills you'll gain: Serverless Computing, Containerization, Amazon Web Services, Data Migration, Amazon DynamoDB, Docker (Software), Data Import/Export, Databases, Kubernetes, AWS Identity and Access Management (IAM), Amazon Elastic Compute Cloud, Database Management, Performance Tuning, Security Controls, Cloud Security, Application Programming Interface (API), Data Security, Scalability
Status: NewStatus: Free TrialSkills you'll gain: Correlation Analysis, Data Pipelines, Dashboard, Dashboard Creation, Analytics, SQL, Business Analytics, Data Infrastructure, Data-Driven Decision-Making, Warehousing, Analysis, Capacity Management, Data Warehousing, Performance Analysis, Performance Metric, Scalability, Performance Measurement, Return On Investment, Interactive Data Visualization, Descriptive Statistics
In summary, here are 10 of our most popular data engineering courses
- Managing Data as a Product: Scalable Data Architectures: Packt
- Introduction to Data Engineering on Google Cloud - 한국어: Google Cloud
- Introduction to Data Engineering on Google Cloud - 繁體中文: Google Cloud
- Introduction to Data Engineering on Google Cloud - 日本語版: Google Cloud
- Introduction to Data Engineering on Google Cloud - 简体中文: Google Cloud
- AWS: Feature Engineering Data Transformation & Integrity: Whizlabs
- Introduction to Data Engineering on Google Cloud - Français: Google Cloud
- Data Warehousing and Integration Part 2: Northeastern University
- Data Analytics Engineering: Probability & Techniques: Northeastern University
- Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
