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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

      Introduction to Data Engineering on Google Cloud - Português Brasileiro

      Skills you'll gain: Data Processing, Metadata Management, Cloud Storage, Google Cloud Platform, Data Pipelines, Data Migration, Big Data, Data Storage, Extract, Transform, Load, Data Infrastructure, Cloud Services, Data Management, Automation, Data Transformation, Real Time Data, Serverless Computing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for Educators

      Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, LLM Application, Productivity, OpenAI, Creative Problem-Solving, Generative AI, AI Personalization, Data Synthesis, Image Analysis, Data Capture, Artificial Intelligence, Innovation, Brainstorming, Large Language Modeling, Data Analysis, Organizational Skills, Education Software and Technology, Artificial Intelligence and Machine Learning (AI/ML)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.3K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      AI Product Management

      Skills you'll gain: Deep Learning, MLOps (Machine Learning Operations), Responsible AI, Data Ethics, Data Management, Unsupervised Learning, Human Computer Interaction, User Experience Design, Classification And Regression Tree (CART), Data Quality, Human Centered Design, Machine Learning, Human Factors, Regression Analysis, Technical Management, Applied Machine Learning, Project Management, Product Management, Product Design, Data Science

      4.7
      Rating, 4.7 out of 5 stars
      ·
      895 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Java Programming and Software Engineering Fundamentals

      Skills you'll gain: Object Oriented Programming (OOP), Java, Java Programming, Software Design, HTML and CSS, Data Structures, Debugging, Computational Thinking, Software Engineering, Web Development, Cryptography, Web Design, Javascript, Programming Principles, Computer Programming, Front-End Web Development, Encryption, Algorithms, Cascading Style Sheets (CSS), Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      22K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      NoSQL, Big Data, and Spark Foundations

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Spark, MongoDB, PySpark, Apache Hive, Databases, Apache Cassandra, Big Data, Machine Learning, Generative AI, IBM Cloud, Applied Machine Learning, Kubernetes, Supervised Learning, Distributed Computing, Docker (Software), Database Management, Data Pipelines, Scalability

      4.5
      Rating, 4.5 out of 5 stars
      ·
      792 reviews

      Beginner · Specialization · 3 - 6 Months

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

      Packt

      Fundamentals of Azure Databricks

      Skills you'll gain: Databricks, Apache Spark, Microsoft Azure, PySpark, Data Lakes, Data Processing, Jupyter, File Systems, File Management, Cloud Storage, Cloud Computing Architecture

      3.8
      Rating, 3.8 out of 5 stars
      ·
      11 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      Status: Preview
      Preview
      B

      Board Infinity

      Generative AI: Prompt Engineering Basics

      Skills you'll gain: Responsible AI, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science

      Skills you'll gain: Shiny (R Package), Rmarkdown, Exploratory Data Analysis, Regression Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Statistical Inference, Predictive Modeling, Statistical Hypothesis Testing, Data Wrangling, Machine Learning Algorithms, Plotly, Plot (Graphics), Interactive Data Visualization, Machine Learning, GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      51K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Introduction to Systems Engineering

      Skills you'll gain: Model Based Systems Engineering, Failure Analysis, Systems Engineering, Engineering Management, Requirements Management, Scope Management, Design Reviews, Project Scoping, Root Cause Analysis, Program Management, Requirements Analysis, User Requirements Documents, Test Engineering, Cost Management, Contract Management, Systems Design, Business Requirements, Systems Thinking, Project Risk Management, Risk Management

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      130 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Irvine

      Data Science Fundamentals

      Skills you'll gain: Analytical Skills, Data Ethics, Predictive Modeling, Unsupervised Learning, Natural Language Processing, Predictive Analytics, Data Analysis, Classification And Regression Tree (CART), Regression Analysis, Data Mining, Data Strategy, Statistical Analysis, Data Science, Social Media, Text Mining, Anomaly Detection, Business Analytics, Decision Tree Learning, Statistical Modeling, Cloud Computing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      254 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering for Law

      Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Legal Technology, LLM Application, Productivity, OpenAI, AI Personalization, Legal Strategy, Personalized Service, Large Language Modeling, Artificial Intelligence, Responsible AI, Legal Research, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Expense Management, Creative Thinking, Productivity Software

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.2K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Analytics, Data-Driven Decision-Making, Google Sheets, Business Analytics, Spreadsheet Software, Analytical Skills, Tableau Software, Data Sharing, Data Collection, Data Cleansing, Data Processing, Data Visualization Software, Data Visualization, SQL

      4.8
      Rating, 4.8 out of 5 stars
      ·
      118K reviews

      Beginner · Course · 1 - 4 Weeks

    Searches related to data engineering

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    1…567…419

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

    • Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
    • Prompt Engineering for Educators: Vanderbilt University
    • AI Product Management: Duke University
    • Java Programming and Software Engineering Fundamentals: Duke University
    • NoSQL, Big Data, and Spark Foundations: IBM
    • Fundamentals of Azure Databricks: Packt
    • Generative AI: Prompt Engineering Basics: Board Infinity
    • Data Science: Johns Hopkins University
    • Introduction to Systems Engineering: University of Colorado Boulder
    • Data Science Fundamentals: University of California, Irvine

    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)
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    Google Cloud Platform (18)
    Application Programming Interfaces (17)
    Data Structure (16)
    Problem Solving (14)
    Object-oriented Programming (13)
    Kubernetes (10)
    List & Label (10)

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