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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
      G

      Google Cloud

      Feature Engineering

      Skills you'll gain: Feature Engineering, Dataflow, Tensorflow, MLOps (Machine Learning Operations), Data Pipelines, Keras (Neural Network Library), Data Processing, Data Transformation, Data Modeling, Real Time Data, Machine Learning

      4.5
      Rating, 4.5 out of 5 stars
      ·
      1.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Software Engineering Fundamentals

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Linux Commands, Bash (Scripting Language), Shell Script, Git (Version Control System), GitHub, Flask (Web Framework), Software Design, Unit Testing, Version Control, File Management, Jupyter, Unix Shell, Scrum (Software Development), Software Engineering, Linux, Application Deployment, Python Programming, Data Structures

      4.6
      Rating, 4.6 out of 5 stars
      ·
      49K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Data Analysis, Data Processing, Spreadsheet Software, Google Sheets, Analysis, Analytical Skills, Interviewing Skills, Data Storytelling, Data Visualization Software, Business Analytics, Artificial Intelligence, Portfolio Management, Data Cleansing, Data Visualization, Presentations

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Tools for Data Science

      Skills you'll gain: Jupyter, Computer Programming Tools, Data Analysis Software, Software Development Tools, Data Science, GitHub, Big Data, R Programming, Statistical Programming, Application Programming Interface (API), Machine Learning, Cloud Computing, Git (Version Control System), Cloud Services, Development Environment, Other Programming Languages, Version Control, Query Languages, Python Programming, Open Source Technology

      4.5
      Rating, 4.5 out of 5 stars
      ·
      30K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Data Engineering, Big Data and ML on Google Cloud 日本語版

      Skills you'll gain: Dataflow, Data Pipelines, Google Cloud Platform, Data Lakes, Data Warehousing, Real Time Data, Data Management, Data Infrastructure, Cloud Engineering, Cloud Storage, Big Data, Unstructured Data, Data Visualization, Extract, Transform, Load, Dashboard, Data Architecture, MLOps (Machine Learning Operations), Analytics, Data Processing, Tensorflow

      4.4
      Rating, 4.4 out of 5 stars
      ·
      289 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier

      Skills you'll gain: Generative AI Agents, Prompt Engineering, ChatGPT, Generative AI, Agentic systems, Productivity, AI Personalization, Expense Management, OpenAI, Artificial Intelligence, Personalized Service, Expense Reports, Large Language Modeling, Workflow Management, Google Workspace, Creative Thinking, Ingenuity, Productivity Software, Brainstorming, Automation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      7.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Management

      Skills you'll gain: Dashboard, Data Storytelling, Data Warehousing, SQL, Data Visualization, Data Security, Data Migration, Database Design, Data Governance, MySQL, Descriptive Statistics, Extract, Transform, Load, Data Store, Data Management, Relational Databases, Databases, Exploratory Data Analysis, Data Architecture, Excel Formulas, Business Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      17K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Preview
      Preview
      G

      Georgia Institute of Technology

      Introduction to Engineering Mechanics

      Skills you'll gain: Engineering Analysis, Mechanics, Torque (Physics), Engineering Calculations, Mechanical Engineering, Engineering, Civil Engineering, Structural Analysis, Trigonometry

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.1K reviews

      Mixed · Course · 1 - 3 Months

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

      Meta

      Meta Data Analyst

      Skills you'll gain: Data Storytelling, Data Presentation, Business Metrics, Key Performance Indicators (KPIs), Data Management, Data Collection, Data Governance, Bayesian Statistics, Data Visualization, Descriptive Statistics, Statistical Hypothesis Testing, Information Privacy, Data Cleansing, Pandas (Python Package), Data Analysis, Data Visualization Software, Spreadsheet Software, Exploratory Data Analysis, SQL, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.6K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of California, Davis

      Data Visualization with Tableau

      Skills you'll gain: Dashboard, Data Storytelling, Tableau Software, Data Presentation, Data Visualization, Visual Design, Advanced Analytics, Interactive Data Visualization, Data Visualization Software, Data Literacy, Design Elements And Principles, Exploratory Data Analysis, Proposal Development, Data Ethics, Data Analysis, Visualization (Computer Graphics), Pivot Tables And Charts, Data Mapping, Tree Maps, Storyboarding

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.2K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Data Science: Foundations using R

      Skills you'll gain: Rmarkdown, Exploratory Data Analysis, Version Control, Statistical Analysis, R Programming, Data Manipulation, Data Cleansing, Data Science, Data Wrangling, Data Visualization, Plot (Graphics), Statistical Programming, Ggplot2, Git (Version Control System), Dimensionality Reduction, Data Visualization Software, Knitr, Data Sharing, GitHub, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      48K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Sampling (Statistics), Data Integrity, Data Quality, Data Processing, Data Analysis, Data Transformation, Data Validation, Sample Size Determination, SQL, Spreadsheet Software

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

      Beginner · Course · 1 - 3 Months

    Searches related to data engineering

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    1…789…834

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

    • Feature Engineering: Google Cloud
    • Applied Software Engineering Fundamentals: IBM
    • Google Data Analytics Capstone: Complete a Case Study: Google
    • Tools for Data Science: IBM
    • Data Engineering, Big Data and ML on Google Cloud 日本語版: Google Cloud
    • ChatGPT: Excel at Personal Automation with GPTs, AI & Zapier: Vanderbilt University
    • IBM Data Management: IBM
    • Introduction to Engineering Mechanics: Georgia Institute of Technology
    • Meta Data Analyst: Meta
    • Data Visualization with Tableau: University of California, Davis

    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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