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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
      ·
      54 reviews

      Advanced · 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, Predictive Modeling, Generative AI, SQL, 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
      ·
      95K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Data Wrangling, Apache Hive, Data Collection, Data Mart, Data Science, Data Warehousing, Data Visualization, Analytics, Data Cleansing, Apache Spark, Data Lakes, Data Visualization Software, Microsoft Excel

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Business Analyst

      Skills you'll gain: Data Storytelling, Risk Mitigation, Business Analysis, Business Process Modeling, Risk Analysis, Project Scoping, Process Flow Diagrams, Stakeholder Analysis, Process Optimization, Data Visualization, Requirements Management, Prompt Engineering, Risk Management, Stakeholder Management, Digital Transformation, Responsible AI, Excel Formulas, Microsoft Excel, Business Analytics, Business Requirements

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

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California San Diego

      Big Data

      Skills you'll gain: Apache Spark, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Presentation, Scalability, Data Processing, Statistical Analysis, NoSQL, Database Management Systems, MongoDB

      4.5
      Rating, 4.5 out of 5 stars
      ·
      14K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Ideation, Verification And Validation, Data Presentation, LLM Application, Productivity, OpenAI, Document Management, Responsible AI, Generative AI, Large Language Modeling, Risk Management Framework, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Creative Thinking, Problem Solving, Data Analysis, Information Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.5K reviews

      Beginner · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Engineering Project Management

      Skills you'll gain: Project Scoping, Communication Planning, Cost Management, Scope Management, Project Estimation, Project Schedules, Earned Value Management, Scheduling, Team Management, Quality Assurance, Stakeholder Management, Work Breakdown Structure, Risk Management, Organizational Structure, Procurement, Project Risk Management, Project Documentation, Requirements Management, Project Management, Planning

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

      Beginner · Specialization · 3 - 6 Months

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

      IBM

      IBM DevOps and Software Engineering

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

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      62K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Engineering Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Technical Communication, Professional Development, Data Strategy, Data Ethics, Data Infrastructure, Data Pipelines, Verbal Communication Skills, Communication Strategies

      4.7
      Rating, 4.7 out of 5 stars
      ·
      85 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cloud Data Engineering

      Skills you'll gain: Software Engineering, Distributed Computing, Extract, Transform, Load, Google Cloud Platform, Big Data, Cloud Computing, Serverless Computing, Cloud Technologies, Data Pipelines, Amazon S3, Command-Line Interface, Continuous Integration, Python Programming, Data Governance, NumPy, Rust (Programming Language)

      4.1
      Rating, 4.1 out of 5 stars
      ·
      87 reviews

      Intermediate · Course · 1 - 4 Weeks

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    1…456…834

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

    • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
    • IBM Data Analyst: IBM
    • Introduction to Data Analytics: IBM
    • Data Analysis with Python: IBM
    • Python and Pandas for Data Engineering: Duke University
    • IBM Business Analyst: IBM
    • Big Data: University of California San Diego
    • Prompt Engineering: Vanderbilt University
    • Engineering Project Management: Rice University
    • IBM DevOps and Software Engineering: IBM

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

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