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  • Data Engineering

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


  • Status: Free Trial
    Free Trial
    W

    Whizlabs

    Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate

    Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Cloud Engineering

    4.6
    Rating, 4.6 out of 5 stars
    ·
    23 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud en Español

    Skills you'll gain: Google Cloud Platform, Dataflow, Data Pipelines, Extract, Transform, Load, Tensorflow, Query Languages, Apache Spark, SQL, Big Data, Applied Machine Learning, MLOps (Machine Learning Operations), Data Processing, Real Time Data, PySpark, Data Import/Export, Unstructured Data, Feature Engineering, Apache Airflow, Looker (Software), Dashboard

    4.7
    Rating, 4.7 out of 5 stars
    ·
    813 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate your Data Engineering Career

    Skills you'll gain: Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Responsible AI, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Artificial Intelligence, Data Quality

    4.6
    Rating, 4.6 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Data Privacy, Security, Governance, Risk and Compliance

    Skills you'll gain: Data Security, Data Governance, Data Architecture, Data Quality, Personally Identifiable Information, Incident Response, Security Controls, Information Privacy, Threat Detection, Law, Regulation, and Compliance, Risk Management, Cybersecurity, Compliance Management, Encryption, Data Integrity

    4.5
    Rating, 4.5 out of 5 stars
    ·
    34 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Engineering with Rust

    Skills you'll gain: Data Pipelines, Rust (Programming Language), Restful API, Amazon Web Services, Cloud API, Data Structures, Secure Coding, Data Processing, API Gateway, Cloud Applications, Real Time Data, Data Manipulation, Amazon S3, System Programming, Cryptography, Encryption, Python Programming, Command-Line Interface, Software Testing

    3.4
    Rating, 3.4 out of 5 stars
    ·
    61 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Engineering Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Technical Communication, Professional Development, Data Strategy, Data Ethics, Data Infrastructure, Data Pipelines, Verbal Communication Skills, Communication Strategies

    4.7
    Rating, 4.7 out of 5 stars
    ·
    93 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Data Engineering, Big Data and ML on Google Cloud 日本語版

    Skills you'll gain: Dataflow, Google Cloud Platform, Data Pipelines, Feature Engineering, Real Time Data, Unstructured Data, Tensorflow, Data Lakes, Apache Spark, Dashboard, Big Data, Serverless Computing, Applied Machine Learning, Data Warehousing, Cloud Engineering, PySpark, Cloud Storage, Data Processing, Scalability, Data Infrastructure

    4.4
    Rating, 4.4 out of 5 stars
    ·
    289 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Feature Engineering

    Skills you'll gain: Feature Engineering, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning, Data Storage

    4.5
    Rating, 4.5 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Virtualization, Docker, and Kubernetes for Data Engineering

    Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Virtualization, Devops Tools, Microservices, Application Deployment, Virtual Machines, Cloud Development, Database Management, GitHub, Cloud-Based Integration, Scalability

    3.9
    Rating, 3.9 out of 5 stars
    ·
    42 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    The Data Driven Manager

    Skills you'll gain: Sampling (Statistics), Engineering Management, Data-Driven Decision-Making, Probability Distribution, Descriptive Statistics, Statistical Hypothesis Testing, Estimation, Statistical Visualization, Data Analysis, Sample Size Determination, Correlation Analysis, Data Visualization, Statistical Software, Statistical Analysis, Leadership and Management, Technical Management, Leadership, R (Software), Box Plots, Problem Solving

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    41 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    P

    Pearson

    Google BigQuery for Data and ML Engineers

    Skills you'll gain: Data Pipelines, Data Warehousing, SQL, Google Cloud Platform, Data Processing, Data Quality, Apache Spark, Generative AI, Applied Machine Learning, Big Data, Serverless Computing, Machine Learning, Data Analysis, Time Series Analysis and Forecasting

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Web Applications and Command-Line Tools for Data Engineering

    Skills you'll gain: Jupyter, Microservices, AWS SageMaker, Cloud Engineering, Command-Line Interface, Data Pipelines, Package and Software Management, Containerization, Applied Machine Learning, Python Programming, Application Deployment, Development Environment, Test Automation, Algorithms, Virtual Environment

    4.4
    Rating, 4.4 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular data engineering courses

  • Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate: Whizlabs
  • Data Engineering, Big Data and ML on Google Cloud en Español: Google Cloud
  • Generative AI: Elevate your Data Engineering Career : IBM
  • Data Privacy, Security, Governance, Risk and Compliance: SkillUp
  • Data Engineering with Rust: Duke University
  • Data Engineering Career Guide and Interview Preparation: IBM
  • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
  • Feature Engineering: Google Cloud
  • Virtualization, Docker, and Kubernetes for Data Engineering: Duke University
  • The Data Driven Manager: University of Colorado Boulder

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Object-oriented Programming (13)
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