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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

      Data Science Methodology

      Skills you'll gain: Data Science, Data Modeling, Data Cleansing, Stakeholder Engagement, Business Analysis, Data-Driven Decision-Making, Decision Tree Learning, Predictive Modeling, Business Process, Data Mining, Data Quality, Data Analysis, Application Deployment, User Feedback, Constructive Feedback

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Statistical Methods, Data Manipulation, NumPy, Statistical Analysis, Data Science, Sampling (Statistics), Probability & Statistics, Unstructured Data, Statistical Hypothesis Testing, Python Programming, Data Cleansing, Data Analysis, Data Import/Export, Programming Principles

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

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Process Data from Dirty to Clean

      Skills you'll gain: Data Cleansing, Data Integrity, Data Quality, Sampling (Statistics), Data Transformation, Data Validation, Data Wrangling, Data Manipulation, Data Analysis, SQL, Sample Size Determination, Exploratory Data Analysis, 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

      The Data Scientist’s Toolbox

      Skills you'll gain: Rmarkdown, Data Science, Version Control, Data Analysis, General Science and Research, Data Analysis Software, R Programming, Statistical Programming, GitHub, Software Installation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      34K reviews

      Mixed · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      IBM

      Generative AI Fundamentals

      Skills you'll gain: Prompt Engineering, Generative AI, OpenAI, ChatGPT, Large Language Modeling, Deep Learning, Leadership and Management, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Strategic Leadership, Business Development, Artificial Intelligence, Business Ethics, Innovation, Emerging Technologies, Business Transformation, IBM Cloud, Business Strategies, Digital Transformation, Content Creation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      8.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Embedding Sensors and Motors

      Skills you'll gain: Control Systems, Electronics Engineering, Electronic Systems, Machine Controls, Embedded Systems, Electronics, Process Control, Hardware Design, Electrical Systems, Automation Engineering, Electrical Equipment, Basic Electrical Systems, Three-Phase, Power Electronics, Medical Equipment and Technology, Electrical Power, Laboratory Experience, Electronic Components, Electrical Engineering, Electronic Hardware

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Genomic Data Science

      Skills you'll gain: Bioinformatics, Unix Commands, Biostatistics, Molecular Biology, Exploratory Data Analysis, Statistical Analysis, Unix, Programming Principles, Data Management, Correlation Analysis, Statistical Methods, Command-Line Interface, Science and Research, Statistical Hypothesis Testing, Data Analysis Software, 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
      U

      University of Pennsylvania

      Business Analytics

      Skills you'll gain: People Analytics, Customer Analysis, Marketing Analytics, Customer Insights, Business Analytics, Financial Statement Analysis, Analytics, Data-Driven Decision-Making, Operational Analysis, Descriptive Analytics, Predictive Analytics, Performance Measurement, Financial Analysis, Peer Review, Workforce Planning, Human Resources Management and Planning, Talent Management, Consumer Behaviour, Data Analysis, Financial Accounting

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Software Engineering

      Skills you'll gain: Software Development Life Cycle, Software Architecture, Development Environment, Software Design, Software Engineering, Software Development Methodologies, Software Design Patterns, Systems Development, Software Development Tools, Program Development, Software Development, Integrated Development Environments, Application Security, Web Development, Cloud Development, Web Applications, Back-End Web Development, Computer Programming, Front-End Web Development, Python Programming

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.7K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Illinois Urbana-Champaign

      Data Mining

      Skills you'll gain: Data Visualization, Text Mining, Dashboard, Data Visualization Software, Scientific Visualization, Interactive Data Visualization, Statistical Visualization, Data Presentation, Data Literacy, Data Mining, Exploratory Data Analysis, Data Analysis, Natural Language Processing, Unsupervised Learning, Unstructured Data, Applied Machine Learning, Data Mapping, Tableau Software, Graphing, Anomaly Detection

      4.5
      Rating, 4.5 out of 5 stars
      ·
      2.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Preview
      Preview
      G

      Georgia Institute of Technology

      Introduction to Electronics

      Skills you'll gain: Electronic Components, Semiconductors, Electronics, Basic Electrical Systems, Electronics Engineering, Engineering Analysis, Schematic Diagrams

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Google Cloud Database Engineer

      Skills you'll gain: Prompt Engineering, Cloud Infrastructure, Kubernetes, PostgreSQL, Data Migration, Database Architecture and Administration, Cloud Computing Architecture, Database Administration, Cloud-Based Integration, Application Deployment, Containerization, MySQL, Identity and Access Management, Cloud Services, Generative AI, Cloud Computing, Cloud Applications, Google Cloud Platform, Database Design, Database Management

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Intermediate · Specialization · 3 - 6 Months

    Searches related to data engineering

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    1…91011…805

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

    • Data Science Methodology: IBM
    • Introduction to Data Science in Python: University of Michigan
    • Process Data from Dirty to Clean: Google
    • The Data Scientist’s Toolbox: Johns Hopkins University
    • Generative AI Fundamentals: IBM
    • Embedding Sensors and Motors: University of Colorado Boulder
    • Genomic Data Science: Johns Hopkins University
    • Business Analytics: University of Pennsylvania
    • Introduction to Software Engineering: IBM
    • Data Mining: University of Illinois Urbana-Champaign

    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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