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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
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, R (Software), Cloud Computing, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 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
      G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: LinkedIn, Data Analysis, Data Processing, Spreadsheet Software, Case Studies, 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
      V

      Vanderbilt University

      Prompt Engineering for Law

      Skills you'll gain: Prompt Engineering, ChatGPT, Prompt Patterns, Generative AI, Legal Technology, LLM Application, Productivity, OpenAI, AI Personalization, Legal Strategy, Personalized Service, Large Language Modeling, Artificial Intelligence, Responsible AI, Legal Research, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Expense Management, Creative Thinking, Productivity Software

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

      Beginner · 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), Statistics, Data Visualization, Statistical Hypothesis Testing, Web Scraping, Relational Databases, Stored Procedure, Data Import/Export, Data Science, Programming Principles, Computer Programming Tools, Data Visualization Software, Python Programming

      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
      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

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      A Crash Course in Data Science

      Skills you'll gain: Data Science, Data Management, Data Analysis, Data-Driven Decision-Making, Project Design, Performance Metric, Software Engineering, Machine Learning, Predictive Modeling, Statistical Inference

      4.5
      Rating, 4.5 out of 5 stars
      ·
      8.3K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Ask Questions to Make Data-Driven Decisions

      Skills you'll gain: Spreadsheet Software, Dashboard, Stakeholder Management, Data-Driven Decision-Making, Data Analysis, Analytical Skills, Data Presentation, Business Analysis, Quantitative Research, Problem Solving, Smart Goals

      4.7
      Rating, 4.7 out of 5 stars
      ·
      34K reviews

      Beginner · Course · 1 - 4 Weeks

    • 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
      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, Data Collection, Tree Maps, Excel Formulas, Data Wrangling, Apache Hive, Data Mart, Data Science, Microsoft Excel, Data Warehousing, Data Cleansing

      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
      G

      Google

      Share Data Through the Art of Visualization

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

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Applied Data Science

      Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Dashboard, Data Visualization Software, Plotly, Data Visualization, Interactive Data Visualization, Data Transformation, Data Analysis, Data Cleansing, Data Manipulation, Matplotlib, Pandas (Python Package), Predictive Modeling, Data Science, Web Scraping, Data Import/Export, Programming Principles, Python Programming, Machine Learning

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60K reviews

      Beginner · Specialization · 3 - 6 Months

    Searches related to data engineering

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    1…8910…417

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

    • Introduction to Data Science: IBM
    • IBM Data Analytics with Excel and R: IBM
    • Google Data Analytics Capstone: Complete a Case Study: Google
    • Prompt Engineering for Law: Vanderbilt University
    • Data Science Fundamentals with Python and SQL: IBM
    • Process Data from Dirty to Clean: Google
    • A Crash Course in Data Science: Johns Hopkins University
    • Ask Questions to Make Data-Driven Decisions: Google
    • Preparing Data for Analysis with Microsoft Excel: Microsoft
    • Data Analysis and Visualization Foundations: 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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