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    • Data Engineering

    Data Engineering Courses

    Data engineering courses can help you learn how to design, build, and maintain data systems and pipelines that support analytics, machine learning, and business intelligence.

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    Find the Best Data Engineering Course for Your Goals

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, MLOps (Machine Learning Operations), Artificial Neural Networks, Data Pipelines, Data Processing, Applied Machine Learning, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Mastering Java - From Beginner to Intermediate

      Skills you'll gain: IntelliJ IDEA, Java, Object Oriented Programming (OOP), Integrated Development Environments, Software Development Life Cycle, Program Development, Java Programming, Computer Programming, Development Environment, Data Structures, Debugging, Software Development, Programming Principles, Linux, Command-Line Interface

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      Coordinating and Conducting Interviews

      Skills you'll gain: Interviewing Skills, Coordinating, Recruitment, Professional Networking, Rapport Building, Labor Compliance, Communication, Compensation Management, Branding

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      Sourcing and Screening Applicants

      Skills you'll gain: Talent Pipelining, Full Cycle Recruitment, Talent Sourcing, Talent Acquisition, Recruitment, Recruitment Strategies, Applicant Tracking Systems, Job Evaluation, Interviewing Skills, Professional Networking, Presentations

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      Evaluating Candidates and Managing the Offer Process

      Skills you'll gain: Compensation and Benefits, Recruitment, Negotiation, Interviewing Skills, Constructive Feedback, Verbal Communication Skills, Professional Networking, Employee Onboarding, Relationship Building, Communication Strategies

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Vector Databases Deep Dive

      Skills you'll gain: NoSQL, Database Systems, Database Management Systems, Databases, Database Management, Data Storage Technologies, Data Structures, Data Management, Performance Tuning, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Algorithms

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      S

      Scrimba

      Learn Express.js

      Skills you'll gain: Node.JS, Server Side, Application Servers, Web Applications, Web Servers, Restful API, JSON, Middleware, API Design, Real Time Data, Routing Protocols

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      A

      Automatic Data Processing, Inc. (ADP)

      Analyzing Job Needs and Creating Job Postings

      Skills you'll gain: Recruitment, Job Analysis, Consultative Approaches, Market Research, Recruitment Strategies, Talent Acquisition, Marketing Materials, Talent Sourcing, Compensation Management, Needs Assessment, Competitive Analysis, Branding, Advertising

      Beginner · Course · 1 - 4 Weeks

    • P

      Packt

      Test-Driven Development in .NET Core - The Handbook

      Skills you'll gain: GitHub, Test Driven Development (TDD), Continuous Integration, ASP.NET, .NET Framework, Unit Testing, Git (Version Control System), C# (Programming Language), Integration Testing, Data Access, Data Integrity, Debugging

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Minnesota

      Prescriptive Analytics Project Ideation

      Skills you'll gain: Simulations, Operations Research, Simulation and Simulation Software, Sprint Planning, Advanced Analytics, Process Mapping, Operational Analysis, Process Optimization, Business Planning, Project Scoping, Project Planning, Production Planning, Capacity Planning, Solution Design, Business Analysis, Needs Assessment, Analytics, Portfolio Management, Investment Management, Complex Problem Solving

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Getting Started with Amazon Timestream

      Skills you'll gain: Amazon Web Services, Data Management, Time Series Analysis and Forecasting, AWS Identity and Access Management (IAM), Real Time Data

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Managing NetApp Cloud Volumes ONTAP for Google Cloud with Advanced Tools

      Skills you'll gain: Cloud Management, Google Cloud Platform, Cloud Storage, Command-Line Interface, Data Storage, Capacity Management, Scalability, Data Access

      Advanced · Project · Less Than 2 Hours

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

    • Build, Train and Deploy ML Models with Keras on Google Cloud - 한국어: Google Cloud
    • Mastering Java - From Beginner to Intermediate: Packt
    • Coordinating and Conducting Interviews : Automatic Data Processing, Inc. (ADP)
    • Sourcing and Screening Applicants : Automatic Data Processing, Inc. (ADP)
    • Evaluating Candidates and Managing the Offer Process: Automatic Data Processing, Inc. (ADP)
    • Vector Databases Deep Dive: Packt
    • Learn Express.js: Scrimba
    • Analyzing Job Needs and Creating Job Postings : Automatic Data Processing, Inc. (ADP)
    • Test-Driven Development in .NET Core - The Handbook: Packt
    • Prescriptive Analytics Project Ideation: University of Minnesota

    Why Learn Data Engineering?

    Data engineering focuses on preparing and structuring data so it can be accessed and analyzed efficiently. It involves working with databases, cloud platforms, ETL processes, and big data tools. Learning data engineering can help you manage complex data workflows, ensure data quality, and support data-driven decision-making in tech-driven organizations.

    Skills you can learn in Software Development

    Programming Language (34)
    Google (25)
    Computer Program (21)
    Software Testing (21)
    Web (19)
    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

    Frequently Asked Questions about Data Engineering

    Top courses include the Data Engineering Foundations from IBM, Introduction to Data Engineering with DeepLearning.AI, and Data Engineering, Big Data, and Machine Learning on GCP from Google Cloud. These programs teach how to design, build, and manage data pipelines using modern tools and cloud platforms.‎

    Yes. Many data engineering courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to build and manage data processing systems, work with data warehouses and data lakes, use tools like SQL, Apache Spark, and Airflow, and understand how to design reliable and scalable data pipelines.‎

    Not necessarily. Many beginner-friendly courses start with the fundamentals and explain data engineering concepts clearly. However, some familiarity with programming and data analysis can be helpful as you progress to more advanced topics.‎

    Yes. Data engineering is a fast-growing field with high demand in tech, finance, healthcare, and many other industries. Coursera’s data engineering courses can help you build job-ready skills, prepare for certification exams, and earn certificates that showcase your expertise to employers.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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