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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

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      LearnKartS

      AWS Tools and Services for AI

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Generative AI, AWS SageMaker, OpenAI, ChatGPT, Amazon Web Services, Artificial Intelligence and Machine Learning (AI/ML), Predictive Modeling, Artificial Intelligence, Natural Language Processing, Image Analysis

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Large Language Models - 日本語版

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI, Google Cloud Platform, Application Development, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      S

      Simplilearn

      Introduction Course to Autoencoders, VAEs, and GANs

      Skills you'll gain: Generative AI, Deep Learning, Tensorflow, Image Analysis, Applied Machine Learning, Computer Vision, Artificial Neural Networks, Unsupervised Learning

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Maryland, College Park

      Platform Product Development

      Skills you'll gain: Application Development, User Experience, User Interface (UI), Data Modeling, Application Deployment, Platform As A Service (PaaS), Workflow Management, Cloud Applications, Automation, Salesforce, ServiceNow, Application Security

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      AWS Visualization, Security, and Exam Preparation

      Skills you'll gain: AWS SageMaker, Dashboard, Data Visualization Software, Amazon CloudWatch, Amazon Redshift, AWS Kinesis, Amazon Web Services, Big Data, AWS Identity and Access Management (IAM), Amazon DynamoDB, Cloud Security, Amazon S3, Predictive Modeling, Encryption, Key Management, Machine Learning

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      S

      Starweaver

      Master Data Storytelling for B2B & B2C Sales

      Skills you'll gain: Data Storytelling, Storytelling, Sales Presentation, Customer Relationship Management (CRM) Software, Sales Strategy, Sales, Customer Relationship Management, B2B Sales, Customer Insights, Data Visualization Software, Dashboard, Business Intelligence, HubSpot CRM, Persuasive Communication, Business Analytics, Salesforce

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      C

      Coursera Project Network

      Enhancing Obsidian: Project Management with plugins

      Skills you'll gain: Kanban Principles, Collaborative Software, Project Management Software, Interactive Data Visualization, Workflow Management, Calendar Management, Prioritization, Software Installation

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      M

      Meta

      Trabajar con datos en Android

      Skills you'll gain: Restful API, Android Development, Kotlin, Android Studio, Application Programming Interface (API), Mobile Development, Object-Relational Mapping, Database Management, Databases, JSON, SQL, Other Programming Languages

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      GenAI for Compensation Analysis in Law Firms

      Skills you'll gain: Compensation Management, Compensation Analysis, Compensation Strategy, Compensation and Benefits, People Analytics, Data-Driven Decision-Making, Benchmarking, Labor Compliance, Payroll, Generative AI, Employee Retention

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Discover and Catalog Vertex AI Assets with Dataplex

      Skills you'll gain: Google Cloud Platform, Data Lakes, Metadata Management, Taxonomy, MLOps (Machine Learning Operations)

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      C

      Clemson University

      Applied Data Science

      Skills you'll gain: Dimensionality Reduction, Data Cleansing, Matplotlib, Regression Analysis, Unsupervised Learning, Data Science, Statistical Analysis, Statistical Methods, Descriptive Statistics, Data Analysis, Data Visualization Software, Applied Machine Learning, Pandas (Python Package), Big Data, Data-Driven Decision-Making, Exploratory Data Analysis, Predictive Modeling, Machine Learning Algorithms, Machine Learning, Supervised Learning

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      The Ultimate ChatGPT Guide with React Native - Develop Mobile Apps

      Skills you'll gain: React Native, Application Deployment, Mobile Development, ChatGPT, User Interface and User Experience (UI/UX) Design, JSON, UI Components, Database Application, Application Development, Development Environment, Data Management, Debugging

      Beginner · Course · 1 - 3 Months

    Searches related to data engineering

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    1…684685686…748

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

    • AWS Tools and Services for AI: LearnKartS
    • Introduction to Large Language Models - 日本語版: Google Cloud
    • Introduction Course to Autoencoders, VAEs, and GANs: Simplilearn
    • Platform Product Development: University of Maryland, College Park
    • AWS Visualization, Security, and Exam Preparation: Packt
    • Master Data Storytelling for B2B & B2C Sales : Starweaver
    • Enhancing Obsidian: Project Management with plugins: Coursera Project Network
    • Trabajar con datos en Android: Meta
    • GenAI for Compensation Analysis in Law Firms: Coursera Instructor Network
    • Discover and Catalog Vertex AI Assets with Dataplex: Google Cloud

    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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