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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
      D

      Duke University

      Spark, Hadoop, and Snowflake for Data Engineering

      Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

      3.8
      Rating, 3.8 out of 5 stars
      ·
      52 reviews

      Advanced · Course · 1 - 4 Weeks

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

      IBM

      IBM Data Science

      Skills you'll gain: Dashboard, Data Visualization Software, Data Visualization, Predictive Modeling, SQL, Unsupervised Learning, Plotly, Interactive Data Visualization, Supervised Learning, Exploratory Data Analysis, Jupyter, Data Wrangling, Data Literacy, Data Analysis, Data Mining, Matplotlib, Regression Analysis, Scikit Learn (Machine Learning Library), Generative AI, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      144K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Microsoft Copilot, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Presentation, Data Visualization Software, Spreadsheet Software, Data Validation, Interactive Data Visualization, Data Transformation, Data Cleansing, Data Analysis, SQL

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology, Software Testing, Debugging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Generative AI Engineering

      Skills you'll gain: Prompt Engineering, Large Language Modeling, Predictive Modeling, Unsupervised Learning, PyTorch (Machine Learning Library), Generative AI, Keras (Neural Network Library), ChatGPT, Flask (Web Framework), Supervised Learning, Exploratory Data Analysis, Data Wrangling, Unit Testing, Data Analysis, Jupyter, Regression Analysis, Deep Learning, Scikit Learn (Machine Learning Library), Applied Machine Learning, Generative AI Agents

      4.6
      Rating, 4.6 out of 5 stars
      ·
      88K 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, Extract, Transform, Load, Database Design, Data Pipelines, Data Warehousing, Database Systems, Business Intelligence, Performance Testing, Data Mart, Process Optimization, Quality Assurance, Data Transformation, Data Lakes, Data Management, Data Quality, Data Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      647 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Software Design, Scrum (Software Development), Software Engineering, Software Design Patterns, Agile Methodology, Software Development, Programming Principles, Application Development, Cloud Development, Web Development, Back-End Web Development, Front-End Web Development, Computer Programming, Integrated Development Environments, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis with Python

      Skills you'll gain: Predictive Modeling, Exploratory Data Analysis, Data Wrangling, Data Analysis, Data Import/Export, Pandas (Python Package), Statistical Modeling, Data-Driven Decision-Making, Data Manipulation, Scikit Learn (Machine Learning Library), Regression Analysis, Feature Engineering, Matplotlib, Python Programming, Data Cleansing, NumPy, Data Visualization, Descriptive Statistics, Supervised Learning, Data Pipelines

      4.7
      Rating, 4.7 out of 5 stars
      ·
      19K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      S

      Snowflake

      Advanced Data Engineering with Snowflake

      Skills you'll gain: Data Engineering, Database Management, Databases, Data Pipelines, DevOps, CI/CD, Command-Line Interface, Version Control, System Monitoring, Continuous Monitoring, Data Analysis

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Database Engineer

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, PostgreSQL, Identity and Access Management, Cloud Storage, Data Migration, Cloud Services, Database Administration, Generative AI, Cloud Security, Cloud Applications, Operational Databases, Database Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 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

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Software Architecture, Linux Commands, Agile Software Development, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Git (Version Control System), Flask (Web Framework), DevOps, Jupyter, Grafana, Software Engineering, Application Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Professional Certificate · 3 - 6 Months

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    1234…769

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

    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
    • IBM Data Science: IBM
    • Microsoft Power BI Data Analyst: Microsoft
    • Data Structures and Algorithms: University of California San Diego
    • IBM Generative AI Engineering: IBM
    • The Path to Insights: Data Models and Pipelines: Google
    • Introduction to Software Engineering: IBM
    • Data Analysis with Python: IBM
    • Advanced Data Engineering with Snowflake: Snowflake
    • Google Cloud Database Engineer: 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)

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