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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

      Share Data Through the Art of Visualization

      Skills you'll gain: Data Storytelling, Data Literacy, Data Visualization, Data Presentation, Interactive Data Visualization, Tableau Software, Presentations, Data Visualization Software, Dashboard, Data Analysis, Web Content Accessibility Guidelines

      4.6
      Rating, 4.6 out of 5 stars
      ·
      9.7K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Methodology

      Skills you'll gain: Jupyter, Peer Review, Data Modeling, Data Science, Business Analysis, Data Manipulation, Data Mining, Predictive Modeling, Data Quality, Data Storytelling, Data Analysis, User Feedback, Decision Tree Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      21K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Analysts

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Data Storytelling, OpenAI, Analytics, Data Analysis, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), Dashboard, Data Ethics, Artificial Intelligence, Data Visualization Software, SQL, Content Creation, Python Programming, Query Languages, IBM Cloud

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.5K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Prepare Data for Exploration

      Skills you'll gain: Data Ethics, Data Analysis, Data Literacy, Data Security, Google Sheets, Databases, Data Processing, Data Storage, Data Quality, Data Management, Data Collection, Relational Databases, SQL, Unstructured Data

      4.8
      Rating, 4.8 out of 5 stars
      ·
      23K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      IBM Data Analytics with Excel and R

      Skills you'll gain: Data Storytelling, Interactive Data Visualization, Data Visualization Software, Data Visualization, Shiny (R Package), Data Wrangling, Exploratory Data Analysis, Relational Databases, Big Data, Ggplot2, Database Design, Data Analysis, IBM Cognos Analytics, Data Presentation, Data Mining, Dashboard, Excel Formulas, Data Manipulation, Web Scraping, Microsoft Excel

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      30K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Python Programming, Probability & Statistics, Predictive Modeling, Computer Programming Tools, Data Science, Machine Learning Algorithms, Unsupervised Learning, Machine Learning, Project Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      115K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Applied Data Science with Python

      Skills you'll gain: Matplotlib, Network Analysis, Feature Engineering, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Pandas (Python Package), Applied Machine Learning, Supervised Learning, Text Mining, Visualization (Computer Graphics), Statistical Visualization, Network Model, Jupyter, NumPy, Graph Theory, Natural Language Processing, Python Programming, Data Processing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      34K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Analysis and Visualization Foundations

      Skills you'll gain: Data Storytelling, Data Visualization, Big Data, Data Visualization Software, Data Analysis, Dashboard, IBM Cognos Analytics, Statistical Analysis, Data Mining, Apache Hadoop, Tree Maps, Excel Formulas, Apache Hive, Data Science, Microsoft Excel, Data Warehousing, Data Quality, Data Cleansing, Scatter Plots, Apache Spark

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      29K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Virtualization, Docker, and Kubernetes for Data Engineering

      Skills you'll gain: Site Reliability Engineering, Docker (Software), Containerization, Kubernetes, Data Engineering, Virtualization, Devops Tools, CI/CD, Microservices, Development Environment, Software Development Tools, Application Deployment, Virtual Machines, Software Development, Cloud Development, Database Management, Cloud-Based Integration, Scalability, Command-Line Interface

      3.9
      Rating, 3.9 out of 5 stars
      ·
      41 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI for Data Scientists

      Skills you'll gain: Prompt Engineering, Generative AI, ChatGPT, Exploratory Data Analysis, Data Ethics, OpenAI, Feature Engineering, Predictive Modeling, Large Language Modeling, Artificial Intelligence, Artificial Intelligence and Machine Learning (AI/ML), Data Modeling, Predictive Analytics, Data Science, Data Synthesis, Data Analysis, Content Creation, Data Cleansing, IBM Cloud, Machine Learning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.6K reviews

      Intermediate · Specialization · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Data Science Fundamentals with Python and SQL

      Skills you'll gain: Dashboard, SQL, Descriptive Statistics, Jupyter, Statistical Analysis, Data Analysis, Probability Distribution, Pandas (Python Package), Data Visualization Software, Statistics, Data Visualization, Statistical Hypothesis Testing, Regression Analysis, Relational Databases, Stored Procedure, Python Programming, Data Science, Data Structures, Computer Programming Tools, Data Analysis Software

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      73K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      27K reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to data engineering

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    1…8910…834

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

    • Share Data Through the Art of Visualization: Google
    • Data Science Methodology: IBM
    • Generative AI for Data Analysts: IBM
    • Prepare Data for Exploration: Google
    • IBM Data Analytics with Excel and R: IBM
    • Data Science Foundations: IBM
    • Applied Data Science with Python: University of Michigan
    • Data Analysis and Visualization Foundations: IBM
    • Virtualization, Docker, and Kubernetes for Data Engineering: Duke University
    • Generative AI for Data Scientists: 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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