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

    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

    4.8
    Rating, 4.8 out of 5 stars
    267 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: New
    Status: Free Trial

    Snowflake

    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

    4.8
    Rating, 4.8 out of 5 stars
    193 reviews

    Beginner · Professional Certificate · 1 - 3 Months

  • Status: New
    Status: Free Trial

    LearnKartS

    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

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial

    Snowflake

    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

    4.8
    Rating, 4.8 out of 5 stars
    161 reviews

    Beginner · Course · 1 - 4 Weeks

  • Google Cloud

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

    Beginner · Project · Less Than 2 Hours

  • 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

    4.7
    Rating, 4.7 out of 5 stars
    303 reviews

    Beginner · Course · 1 - 3 Months

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