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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: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Document Management, Generative AI, Artificial Intelligence, Large Language Modeling, Risk Management Framework, Microsoft Excel, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Data Ethics, Data Analysis, Information Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      244 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Visualization, SQL, Predictive Modeling, Generative AI, Interactive Data Visualization, Exploratory Data Analysis, Data Wrangling, Data Analysis, Big Data, Matplotlib, IBM Cognos Analytics, Excel Formulas, Professional Networking, Data Import/Export, Microsoft Excel, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      93K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Advanced Data Engineering

      Skills you'll gain: Performance Analysis, Apache Airflow, Workflow Management, Performance Tuning, Scalability, Database Management Systems, Dataflow, Data Infrastructure, Database Management, Database Systems, Data Pipelines, Data Warehousing, Data Architecture, Operational Databases, Real Time Data, MySQL, Data Import/Export, Data Transformation, Middleware

      4.3
      Rating, 4.3 out of 5 stars
      ·
      12 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Science, Data Warehousing, Data Visualization, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Relational Databases, Microsoft Excel

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Power BI, Microsoft Excel, Data Analysis, Data Visualization, Data Storage, Data Collection, Data Quality, Business Intelligence, Timelines, Microsoft Power Platform, Advanced Analytics, Database Design, Statistical Reporting, Statistical Visualization, Analytical Skills, Data Integration, Data Storage Technologies, SQL, Data Manipulation, Microsoft SQL Servers

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Data Pipelines, Business Intelligence, Data Integrity, Data Validation, Performance Tuning, Data Mart, Data Management, Process Optimization, Data Quality, Data Transformation, Performance Testing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      650 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Requirements Elicitation, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Project Scoping, Process Optimization, Data Visualization, Requirements Management, Prompt Engineering, Risk Management, Business Requirements, Stakeholder Management, Work Breakdown Structure, Stakeholder Engagement, Excel Formulas, Microsoft Excel, Business Analytics, Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      13K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      G

      Google

      Google Project Management:

      Skills you'll gain: Quality Management, Project Management Life Cycle, Requirements Analysis, Project Scoping, Project Closure, Project Management, Project Planning, Agile Project Management, Continuous Improvement Process, Project Controls, Backlogs, Stakeholder Communications, Milestones (Project Management), Quality Assessment, Team Management, Agile Methodology, Project Documentation, Change Management, Interviewing Skills, Applicant Tracking Systems

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      131K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Scripting with Python and SQL for Data Engineering

      Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Storage Technologies, Data Capture, Spatial Data Analysis, Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      102 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Artificial Intelligence, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      33 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM AI Developer

      Skills you'll gain: Prompt Engineering, Software Development Life Cycle, Large Language Modeling, Software Architecture, ChatGPT, Development Environment, Flask (Web Framework), Generative AI, Cascading Style Sheets (CSS), Unit Testing, Bootstrap (Front-End Framework), Software Design, Software Development Tools, Software Engineering, Responsive Web Design, Data Import/Export, Python Programming, Engineering Software, Machine Learning, Data Science

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      72K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Searches related to data engineering

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    1…456…781

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

    • Prompt Engineering: Vanderbilt University
    • Python and Pandas for Data Engineering: Duke University
    • IBM Data Analyst: IBM
    • Advanced Data Engineering: Duke University
    • Introduction to Data Analytics: IBM
    • Microsoft Power BI Data Analyst: Microsoft
    • The Path to Insights: Data Models and Pipelines: Google
    • IBM Business Analyst: IBM
    • Google Project Management:: Google
    • Scripting with Python and SQL for Data Engineering: Duke University

    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

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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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