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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

    • G

      Google Cloud

      Integrate Search in Applications using Vertex AI Agent Builder

      Skills you'll gain: Web Analytics and SEO, Google Cloud Platform, Enterprise Application Management, Generative AI, Cloud Applications, Web Scraping, Data Store, Web Applications

      Beginner · Project · Less Than 2 Hours

    • F

      Fundação Instituto de Administração

      Decision Making

      Skills you'll gain: Decision Making, Strategic Decision-Making, Data-Driven Decision-Making, Behavioral Economics, Analysis, Business Risk Management, Complex Problem Solving, Risk Analysis, Systems Thinking, Organizational Strategy, Decision Tree Learning, Virtual Teams, Psychology, Probability

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      The Simplest Guide™ to Base SAS & Advanced SAS

      Skills you'll gain: SAS (Software), Data Manipulation, Data Analysis, Statistical Programming, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis, Descriptive Statistics

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Sheets - Advanced Topics 日本語版

      Skills you'll gain: Google Sheets, Data Validation, Excel Formulas, Excel Macros, Data Visualization, Business Solutions, Data Analysis Expressions (DAX), Google Docs, Data Integrity, Data Import/Export

      Intermediate · Course · 1 - 3 Months

    • P

      Packt

      Deep Learning: Convolutional Neural Networks with TensorFlow

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Deep Learning, Image Analysis, Artificial Neural Networks, Computer Vision, Natural Language Processing, Text Mining, Data Processing, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      D

      DeepLearning.AI

      Large Language Models with Semantic Search

      Skills you'll gain: Large Language Modeling, Data Processing, Semantic Web, Natural Language Processing, Text Mining

      Beginner · Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced RNN Concepts and Projects

      Skills you'll gain: Tensorflow, Artificial Neural Networks, Deep Learning, Predictive Modeling, Time Series Analysis and Forecasting, Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing, Data Analysis

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Production of concrete

      Skills you'll gain: Production Process, Manufacturing and Production, Manufacturing Operations, Construction Engineering, Plant Operations and Management, Construction, Manufacturing Processes, Laboratory Testing, Process Validation, Product Testing, Civil Engineering, Manufacturing Standards, Technical Standard, Engineering Calculations

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      C

      Corporate Finance Institute

      Data Prep for Machine Learning in Python

      Skills you'll gain: Feature Engineering, Data Import/Export, Exploratory Data Analysis, Data Cleansing, Data Manipulation, Data Processing, Plot (Graphics), Data Visualization, Data Transformation, Descriptive Statistics, Pandas (Python Package), Data Analysis, Box Plots, Data Validation, Python Programming, Data Science, Scikit Learn (Machine Learning Library), Statistical Analysis, Correlation Analysis

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Streamline App Development with Gemini Code Assist

      Skills you'll gain: Unit Testing, Integrated Development Environments, Software Documentation, Code Review, Software Development Tools, Software Testing, Technical Documentation, Application Development, Maintainability, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Search Engine Optimization and Content Marketing

      Skills you'll gain: Keyword Research, Web Analytics and SEO, Search Engine Optimization, Content Marketing, Web Analytics, Google Analytics, Search Engine Marketing, Content Creation, MarTech, Marketing Strategy and Techniques, Content Development and Management, Digital Marketing, Growth Strategies, Content Strategy

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnKartS

      Database, Big Data, and DevOps Services in GCP

      Skills you'll gain: Site Reliability Engineering, Google Cloud Platform, Big Data, Data Processing, Dataflow, Performance Tuning, DevOps, Kubernetes, CI/CD, Scalability, NoSQL, Databases, Cloud Applications, Relational Databases, Real Time Data, Data Storage

      Intermediate · Course · 1 - 4 Weeks

    Searches related to data engineering

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    1…680681682…749

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

    • Integrate Search in Applications using Vertex AI Agent Builder: Google Cloud
    • Decision Making: Fundação Instituto de Administração
    • The Simplest Guide™ to Base SAS & Advanced SAS: Packt
    • Google Sheets - Advanced Topics 日本語版: Google Cloud
    • Deep Learning: Convolutional Neural Networks with TensorFlow: Packt
    • Large Language Models with Semantic Search: DeepLearning.AI
    • Advanced RNN Concepts and Projects: Packt
    • Production of concrete: L&T EduTech
    • Data Prep for Machine Learning in Python: Corporate Finance Institute
    • Streamline App Development with Gemini Code Assist: 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)

    Frequently Asked Questions about Data Engineering

    Top courses include the Data Engineering Foundations from IBM, Introduction to Data Engineering with DeepLearning.AI, and Data Engineering, Big Data, and Machine Learning on GCP from Google Cloud. These programs teach how to design, build, and manage data pipelines using modern tools and cloud platforms.‎

    Yes. Many data engineering courses offer a free audit option, allowing learners to access video lessons and reading materials at no cost. To complete assignments or earn a certificate, you’ll need to upgrade or apply for financial aid.‎

    You’ll learn how to build and manage data processing systems, work with data warehouses and data lakes, use tools like SQL, Apache Spark, and Airflow, and understand how to design reliable and scalable data pipelines.‎

    Not necessarily. Many beginner-friendly courses start with the fundamentals and explain data engineering concepts clearly. However, some familiarity with programming and data analysis can be helpful as you progress to more advanced topics.‎

    Yes. Data engineering is a fast-growing field with high demand in tech, finance, healthcare, and many other industries. Coursera’s data engineering courses can help you build job-ready skills, prepare for certification exams, and earn certificates that showcase your expertise to employers.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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