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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: New
      New
      Status: Free Trial
      Free Trial
      M

      Microsoft

      Market Research and Competitive Analysis

      Skills you'll gain: Competitive Analysis, Market Research, Persona Development, Market Analysis, Market Opportunities, Business Research, Consumer Behaviour, Target Market, Customer Insights, Data-Driven Decision-Making, Product Development, Product Strategy, Data Analysis, AI Personalization, Innovation, Regulatory Compliance

      Beginner · Course · 1 - 4 Weeks

    • T

      Tufts University

      Hypothesis Testing with Python and Excel

      Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Microsoft Excel, Quantitative Research, Probability & Statistics, Statistical Analysis, Analytical Skills, Business Analytics, Python Programming

      4.2
      Rating, 4.2 out of 5 stars
      ·
      23 reviews

      Intermediate · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Data Analysis in Python: Using Pandas DataFrames

      Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Matplotlib, Data Visualization Software, Exploratory Data Analysis, Data Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      20 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      P

      Packt

      Python Programming for Quantum Computing

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Data Processing, Scripting, Software Installation, Development Environment, Jupyter

      4.2
      Rating, 4.2 out of 5 stars
      ·
      9 reviews

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Glasgow

      Generative AI for Healthcare Students and Professionals

      Skills you'll gain: Data Ethics, Healthcare Industry Knowledge, Predictive Modeling, Healthcare Ethics, Generative AI, Prompt Engineering, Artificial Intelligence, Deep Learning, Health Care, Artificial Neural Networks, Image Analysis, Health Informatics, Medical Imaging, Augmented and Virtual Reality (AR/VR), Radiology, Bayesian Statistics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Introduction to Relational Databases

      Skills you'll gain: Relational Databases, Database Management, Database Management Systems, Database Systems, Database Design, Database Theory, Databases, SQL, Query Languages, Data Manipulation

      Build toward a degree

      4.4
      Rating, 4.4 out of 5 stars
      ·
      28 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      Universidad Austral

      Introducción al procesamiento de lenguaje natural

      Skills you'll gain: Natural Language Processing, Data Processing, Text Mining, Pandas (Python Package), Analysis, Big Data, Unstructured Data, Scikit Learn (Machine Learning Library), Algorithms

      4.4
      Rating, 4.4 out of 5 stars
      ·
      25 reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      C

      Codio

      Software Testing for Developers

      Skills you'll gain: Jest (JavaScript Testing Framework), User Acceptance Testing (UAT), Cucumber (Software), Postman API Platform, Software Testing, Behavior-Driven Development, Test Tools, Selenium (Software), Test Driven Development (TDD), Unit Testing, Acceptance Testing, Performance Testing, Functional Testing, Test Automation, Usability Testing, Application Programming Interface (API), User Interface (UI), Test Case, API Design

      4.2
      Rating, 4.2 out of 5 stars
      ·
      15 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Building and Training Neural Networks with PyTorch

      Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision, Classification And Regression Tree (CART), Predictive Modeling, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 3 Months

    • T

      Technion - Israel Institute of Technology

      التقانة والمستشعرات النانوية - الجزء الاول

      Skills you'll gain: Engineering, Scientific, and Technical Instruments, Semiconductors, Technology Solutions, Emerging Technologies, Chemical and Biomedical Engineering, Electronics Engineering, Electronics, Ideation, Chemistry, Environmental Monitoring, Manufacturing Processes, Creative Design, Medical Imaging

      4.2
      Rating, 4.2 out of 5 stars
      ·
      26 reviews

      Mixed · Course · 1 - 3 Months

    • C

      Coursera Project Network

      Marketing Automation with AI and HubSpot: Plan to Execution

      Skills you'll gain: Lead Generation, Marketing Automation, HubSpot CRM, Prompt Engineering, ChatGPT, Dashboard, MarTech, Generative AI Agents, Email Marketing, Marketing Strategies, Workflow Management, Campaign Management, Marketing Analytics, Customer Engagement, Data-Driven Decision-Making

      4.8
      Rating, 4.8 out of 5 stars
      ·
      8 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free Trial
      Free Trial
      U

      Università di Napoli Federico II

      Finance

      Skills you'll gain: Market Liquidity, Financial Market, Portfolio Management, Securities Trading, Investments, Securities (Finance), Equities, Capital Markets, Finance, Market Dynamics, Risk Analysis, Economics, Fixed Asset, Market Data, Risk Modeling, Derivatives, Technical Analysis, Asset Management, Risk Management, Statistical Methods

      Intermediate · Specialization · 3 - 6 Months

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    1…365366367…738

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

    • Market Research and Competitive Analysis: Microsoft
    • Hypothesis Testing with Python and Excel: Tufts University
    • Data Analysis in Python: Using Pandas DataFrames: Coursera Project Network
    • Python Programming for Quantum Computing: Packt
    • Generative AI for Healthcare Students and Professionals: University of Glasgow
    • Introduction to Relational Databases: Illinois Tech
    • Introducción al procesamiento de lenguaje natural: Universidad Austral
    • Software Testing for Developers: Codio
    • Building and Training Neural Networks with PyTorch: Packt
    • التقانة والمستشعرات النانوية - الجزء الاول: Technion - Israel Institute of Technology

    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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