Data Engineering

Data Engineering is the aspect of data science that focuses on practical applications of data collection and analysis. Coursera's Data Engineering catalogue teaches you the methods, tools, and technologies necessary to transform raw data into formats that data analysts and data scientists can use. You'll learn about data modeling, warehousing, processing, and archiving. Understand the intricacies of SQL and NoSQL databases, big data ecosystems, and cloud data storage. Gain insights into data privacy, security, governance, and architecture while developing the ability to build, design, and manage scalable data processing systems and infrastructure.
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Find the best Data Engineering course for your goals

  • Status: New
    Status: Free Trial

    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

  • Status: New
    Status: Free Trial

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

  • Status: Free Trial

    Skills you'll gain: Data Engineering, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Integration, Data Warehousing, Software Development Tools, Stored Procedure, Data Sharing, SQL, Data Analysis, GitHub, Integrated Development Environments, Command-Line Interface

  • Status: New
    Status: Free Trial

    Skills you'll gain: Data Engineering, Database Management, Databases, Data Pipelines, DevOps, CI/CD, Command-Line Interface, Version Control, System Monitoring, Continuous Monitoring, Data Analysis

  • Status: Free Trial
    Status: AI skills

    Skills you'll gain: Data Engineering, Data Warehousing, Extract, Transform, Load, Apache Airflow, Web Scraping, Linux Commands, Database Design, SQL, Database Administration, MySQL, Data Pipelines, Apache Kafka, Database Management, Bash (Scripting Language), Shell Script, Database Architecture and Administration, Data Store, Generative AI, Data Import/Export, Data Security

  • Status: New
    Status: Free Trial

    Skills you'll gain: Prompt Engineering, Generative AI, LLM Application, Data Engineering, Data Manipulation, Snowflake Schema, Large Language Modeling, Application Deployment, Data Lakes, Data Warehousing, Unstructured Data, Cloud Development, SQL, Natural Language Processing, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure

What brings you to Coursera today?

  • Status: Free Trial

    Skills you'll gain: Data Engineering, Data Manipulation, Data Lakes, Data Warehousing, Cloud Development, SQL, Data Pipelines, Extract, Transform, Load, Application Development, Artificial Intelligence and Machine Learning (AI/ML), Role-Based Access Control (RBAC), Stored Procedure, Data Storage, Database Management, LLM Application, Generative AI, Data Science, Machine Learning

  • Status: New

    Skills you'll gain: Data Engineering, Application Deployment, YAML, Virtual Environment

  • Skills you'll gain: Google Cloud Platform, Interactive Data Visualization, Event Monitoring, Data Engineering, Linux

  • Status: Free Trial

    Amazon Web Services

    Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Engineering, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage, Data Science, Machine Learning

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Gain the knowledge and skills you need to advance.

  • This role has a £63,110 median salary ¹.

    description:

    A Data Engineer builds data pipelines for large datasets, optimizing systems and ensuring reliable data flow using tools like Hadoop and Spark.

    This role has a £63,110 median salary ¹.

    Offered by

    DeepLearning.AI_logo
    Amazon Web Services_logo
    Google Cloud_logo
  • This role has a £85,988 median salary ¹.

    description:

    A Data Architect designs and oversees data systems, ensuring efficient storage, security, and accessibility to support business objectives.

    This role has a £85,988 median salary ¹.

    Offered by

    IBM_logo
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