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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
      U

      University of California San Diego

      Introduction to Big Data

      Skills you'll gain: Big Data, Apache Hadoop, Scalability, Data Processing, Data Science, Distributed Computing, Unstructured Data, Data Infrastructure, Data Analysis

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Preview
      Preview
      G

      Georgia Institute of Technology

      Fundamentals of Engineering Exam Review

      Skills you'll gain: Structural Analysis, Probability & Statistics, Hydraulics, Statistics, Mechanical Engineering, Probability, Engineering, Mechanics, Hydrology, Civil Engineering, Algebra, Advanced Mathematics, Calculus, Differential Equations, Geometry, Trigonometry

      4.7
      Rating, 4.7 out of 5 stars
      ·
      614 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado System

      Data Warehousing for Business Intelligence

      Skills you'll gain: Database Design, Business Intelligence, Data Warehousing, Relational Databases, Data Visualization, Decision Support Systems, Business Intelligence Software, Data Modeling, Business Process Management, Database Management Systems, Databases, Dashboard, SQL, Star Schema, Performance Measurement, Data Governance, Oracle Databases, Data Integration, MicroStrategy, Data Visualization Software

      4.5
      Rating, 4.5 out of 5 stars
      ·
      4.1K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Exploratory Data Analysis, Statistical Analysis, Unix, Data Science, Data Management, Statistical Methods, Molecular Biology, Command-Line Interface, Statistical Hypothesis Testing, Linux Commands, Data Analysis Software, Statistical Modeling, Data Structures, R Programming, Computational Thinking, Jupyter, Python Programming

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.7K reviews

      Intermediate · Specialization · 3 - 6 Months

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

      Google

      Google UX Design

      Skills you'll gain: Responsive Web Design, Storyboarding, Wireframing, User Experience Design, UI/UX Research, Usability Testing, Information Architecture, Presentations, User Research, Figma (Design Software), Design Reviews, Persona (User Experience), Web Content Accessibility Guidelines, Mobile Development, User Story, Data Ethics, Usability, User Centered Design, Interviewing Skills, Professional Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      94K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      AI Agent Developer

      Skills you'll gain: Prompt Engineering, ChatGPT, Generative AI Agents, Prompt Patterns, Generative AI, LLM Application, Ideation, Verification And Validation, Data Presentation, Productivity, OpenAI, AI Personalization, Document Management, Responsible AI, Agentic systems, Tool Calling, Artificial Intelligence, Personalized Service, Large Language Modeling, Software Development

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      Imperial College London

      Mathematics for Machine Learning

      Skills you'll gain: Linear Algebra, Dimensionality Reduction, NumPy, Regression Analysis, Calculus, Applied Mathematics, Probability & Statistics, Machine Learning Algorithms, Jupyter, Data Science, Advanced Mathematics, Statistics, Statistical Analysis, Artificial Neural Networks, Algorithms, Data Manipulation, Python Programming, Machine Learning, Derivatives

      4.6
      Rating, 4.6 out of 5 stars
      ·
      15K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Business Analytics

      Skills you'll gain: People Analytics, Data-Driven Decision-Making, Fraud detection, Business Analytics, Descriptive Analytics, Financial Data, Marketing Analytics, Analytics, Talent Management, Financial Analysis, Predictive Analytics, Human Resources Management and Planning, Peer Review, Data Analysis, Business Analysis, Financial Statement Analysis, Financial Forecasting, Customer Insights, Workforce Planning, Demand Planning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Preparing Data for Analysis with Microsoft Excel

      Skills you'll gain: Excel Formulas, Microsoft Excel, Power BI, Spreadsheet Software, Timelines, Data Analysis, Data Manipulation, Pivot Tables And Charts, Data Cleansing, Data Management

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Deep Learning

      Skills you'll gain: Computer Vision, Deep Learning, Image Analysis, Natural Language Processing, Artificial Neural Networks, Tensorflow, Generative AI, Supervised Learning, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Keras (Neural Network Library), Artificial Intelligence, Applied Machine Learning, PyTorch (Machine Learning Library), Machine Learning, MLOps (Machine Learning Operations), Debugging, Performance Tuning, Python Programming, Data-Driven Decision-Making

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      146K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: AI Product Strategy, Responsible AI, Data Ethics, Artificial Intelligence, Machine Learning, Strategic Thinking, Data Science, Deep Learning, Artificial Neural Networks

      4.8
      Rating, 4.8 out of 5 stars
      ·
      50K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Mathematics for Machine Learning and Data Science

      Skills you'll gain: Descriptive Statistics, Bayesian Statistics, Statistical Hypothesis Testing, Probability & Statistics, Sampling (Statistics), Probability Distribution, Linear Algebra, Statistical Inference, A/B Testing, Statistical Analysis, Applied Mathematics, NumPy, Probability, Calculus, Dimensionality Reduction, Numerical Analysis, Mathematical Modeling, Machine Learning, Machine Learning Methods, Data Transformation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 1 - 3 Months

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

    • Introduction to Big Data: University of California San Diego
    • Fundamentals of Engineering Exam Review: Georgia Institute of Technology
    • Data Warehousing for Business Intelligence: University of Colorado System
    • Genomic Data Science: Johns Hopkins University
    • Google UX Design: Google
    • AI Agent Developer: Vanderbilt University
    • Mathematics for Machine Learning: Imperial College London
    • Business Analytics: University of Pennsylvania
    • Preparing Data for Analysis with Microsoft Excel: Microsoft
    • Deep Learning: DeepLearning.AI

    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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