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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
      A

      Arizona State University

      Engineering and Product Design Processes

      Skills you'll gain: Engineering Design Process, Engineering Drawings, Prototyping, Product Design, Product Development, Research and Design, Hardware Design, Ideation, User Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      71 reviews

      Beginner · Course · 1 - 4 Weeks

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

      Microsoft

      Microsoft Business Analyst

      Skills you'll gain: Stakeholder Management, Microsoft Power Platform, Stakeholder Engagement, Gap Analysis, User Story, Business Process Improvement, Requirements Analysis, Process Improvement, Software Development Life Cycle, Requirements Elicitation, Microsoft Excel, Business Requirements, Microsoft Visio, Data Modeling, Agile Methodology, Scrum (Software Development), Excel Formulas, Business Analysis, Power BI, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Machine Learning Methods, Image Analysis, Applied Machine Learning, Matlab, Algorithms, Data Analysis, Object Oriented Programming (OOP), Classification And Regression Tree (CART), Data Processing, Computer Vision, User Interface (UI), Regression Analysis, Digital Communications, Numerical Analysis, Performance Tuning, Computer Programming, Mathematical Software, Programming Principles, Debugging, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      A

      Amazon

      Amazon Junior Software Developer

      Skills you'll gain: Software Development Life Cycle, Full-Stack Web Development, Software Development Methodologies, Model View Controller, Git (Version Control System), JUnit, GitHub, Version Control, Spring Boot, Responsive Web Design, Software Development, Object Oriented Programming (OOP), SQL, Java Programming, Java, Restful API, Database Management, Data Structures, Generative AI, Digital Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      339 reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Command Line Tools for Genomic Data Science

      Skills you'll gain: Unix Commands, Bioinformatics, Unix, Data Management, Command-Line Interface, Linux Commands, Molecular Biology, Big Data, File Management, Data Analysis Software, Data Processing

      4
      Rating, 4 out of 5 stars
      ·
      565 reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Search Engine Optimization (SEO)

      Skills you'll gain: Search Engine Optimization, Keyword Research, Competitive Analysis, Web Analytics and SEO, Content Marketing, Content Strategy, Social Media Marketing, Content Creation, Social Media Strategy, Client Services, Target Audience, Persona Development, Social Media, Project Management, Web Content, Digital Marketing, Market Analysis, Key Performance Indicators (KPIs), Google Analytics, Expectation Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      13K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Capstone: Applying Project Management in the Real World

      Skills you'll gain: Project Management, Sprint Retrospectives, Project Management Life Cycle, Milestones (Project Management), Stakeholder Management, Project Planning, Goal Setting, Quality Management, Project Scoping, Stakeholder Communications, Project Estimation, Timelines, Project Documentation, Interviewing Skills, Requirements Analysis, Generative AI Agents, Problem Solving

      4.9
      Rating, 4.9 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Business Statistics and Analysis

      Skills you'll gain: Regression Analysis, Microsoft Excel, Spreadsheet Software, Business Analytics, Excel Formulas, Data Analysis, Statistics, Histogram, Pivot Tables And Charts, Forecasting, Risk Analysis, Probability Distribution, Graphing, Statistical Methods, Descriptive Statistics, Statistical Analysis, Scatter Plots, Analytics, Analysis, Statistical Hypothesis Testing

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Big Data with Spark and Hadoop

      Skills you'll gain: Apache Spark, Apache Hadoop, PySpark, Apache Hive, Big Data, Data Processing, Performance Tuning, Distributed Computing, Development Environment, Scalability, Debugging

      4.4
      Rating, 4.4 out of 5 stars
      ·
      448 reviews

      Intermediate · Course · 1 - 3 Months

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

      IBM

      IBM Deep Learning with PyTorch, Keras and Tensorflow

      Skills you'll gain: PyTorch (Machine Learning Library), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Unsupervised Learning, Artificial Neural Networks, Generative AI, Tensorflow, Statistical Methods, Image Analysis, Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Computer Vision, Probability & Statistics, Supervised Learning, Python Programming, Machine Learning Algorithms, Natural Language Processing, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      3.9K reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure

      Skills you'll gain: Prompt Engineering, Cloud Infrastructure, Kubernetes, Google Cloud Platform, Generative AI, Cloud Applications, Containerization, Identity and Access Management, Cloud Services, Cloud Computing, Virtual Machines, Cloud Storage, Network Infrastructure, Application Deployment, Data Storage Technologies, Serverless Computing, Scalability

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning

      Skills you'll gain: Machine Learning, Applied Machine Learning, Jupyter, Classification And Regression Tree (CART), Regression Analysis, Supervised Learning, Image Analysis, Deep Learning, Unsupervised Learning, Predictive Modeling, Computer Vision, Statistical Machine Learning, Feature Engineering, Data Mining, Text Mining, Natural Language Processing, AI Personalization, Python Programming, Machine Learning Algorithms, Application Deployment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Intermediate · Specialization · 3 - 6 Months

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

    • Engineering and Product Design Processes: Arizona State University
    • Microsoft Business Analyst: Microsoft
    • MATLAB Programming for Engineers and Scientists: Vanderbilt University
    • Amazon Junior Software Developer: Amazon
    • Command Line Tools for Genomic Data Science: Johns Hopkins University
    • Search Engine Optimization (SEO): University of California, Davis
    • Capstone: Applying Project Management in the Real World: Google
    • Business Statistics and Analysis: Rice University
    • Introduction to Big Data with Spark and Hadoop: IBM
    • IBM Deep Learning with PyTorch, Keras and Tensorflow: 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

    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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