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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

    • U

      University of Virginia

      Digital Transformation

      Skills you'll gain: Digital Transformation, Business Transformation, Product Lifecycle Management, Technology Strategies, Corporate Strategy, Business Strategy, Business Economics, Business Technologies, Emerging Technologies, Market Dynamics, Process Development, Innovation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      C

      Campus BBVA

      Business Analytics

      Skills you'll gain: Data Storytelling, Data-Driven Decision-Making, Business Analytics, Dashboard, Data Quality, Data Analysis, Descriptive Statistics, Business Intelligence, Statistical Methods, Data Management, Probability & Statistics, Statistical Inference, Statistics, Big Data

      4.5
      Rating, 4.5 out of 5 stars
      ·
      161 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to battery-management systems

      Skills you'll gain: Electrical Systems, Electrical Safety, Thermal Management, Basic Electrical Systems, Control Systems, Systems Engineering, Failure Analysis, Electronic Components, High Voltage, Energy and Utilities, Manufacturing Processes, Chemistry, System Monitoring, Performance Testing, Engineering Calculations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      S

      Stanford University

      Understanding Einstein: The Special Theory of Relativity

      Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Mechanics, Mathematical Modeling, Systems Of Measurement

      4.9
      Rating, 4.9 out of 5 stars
      ·
      3.1K reviews

      Beginner · Course · 1 - 3 Months

    • D

      Duke University

      MLOps | Machine Learning Operations

      Skills you'll gain: MLOps (Machine Learning Operations), Pandas (Python Package), AWS SageMaker, NumPy, Microsoft Azure, Data Ethics, Application Deployment, Data Manipulation, Exploratory Data Analysis, Containerization, Data Pipelines, CI/CD, Software Testing, Data Import/Export, Amazon Web Services, Feature Engineering, Cloud Solutions, Artificial Intelligence and Machine Learning (AI/ML), Docker (Software), Rust (Programming Language)

      4.2
      Rating, 4.2 out of 5 stars
      ·
      450 reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free
      Free
      A

      Amazon Web Services

      Essentials of Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, OpenAI, Generative AI, Large Language Modeling

      4.6
      Rating, 4.6 out of 5 stars
      ·
      235 reviews

      Mixed · Course · 1 - 4 Weeks

    • D

      Duke University

      Introduction to Machine Learning

      Skills you'll gain: PyTorch (Machine Learning Library), Reinforcement Learning, Image Analysis, Applied Machine Learning, Deep Learning, Machine Learning, Natural Language Processing, Supervised Learning, Unsupervised Learning, Artificial Neural Networks, Computer Vision, Medical Imaging

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

      Intermediate · Course · 1 - 3 Months

    • U

      University of Michigan

      Data Structures in C

      Skills you'll gain: C (Programming Language), Data Structures, Application Security, System Programming, Programming Principles, Performance Tuning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      50 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Michigan

      Data Science Ethics

      Skills you'll gain: Data Ethics, Data Sharing, Information Privacy, General Data Protection Regulation (GDPR), Personally Identifiable Information, Data Security, Data Governance, Ethical Standards And Conduct, Big Data, Intellectual Property, Data Analysis, Social Sciences, Sampling (Statistics), Data-Driven Decision-Making, Diversity Awareness

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Statistical Modeling for Data Science Applications

      Skills you'll gain: Statistical Inference, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, R Programming, Data Ethics, Statistical Methods, Data Analysis, Statistical Analysis, Data Modeling, Predictive Modeling, Probability & Statistics, Advanced Analytics, Correlation Analysis, Forecasting, Data Science, A/B Testing, Machine Learning, Classification And Regression Tree (CART), Linear Algebra

      Build toward a degree

      4.1
      Rating, 4.1 out of 5 stars
      ·
      52 reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IE Business School

      Market Research and Consumer Behavior

      Skills you'll gain: Survey Creation, Surveys, Market Research, Business Research, Consumer Behaviour, Marketing Strategies, Research Design, Data Analysis, Research Reports, Market Analysis, Research Methodologies, Experimentation, Customer Analysis, Focus Group, Business Marketing, Decision Making

      4.4
      Rating, 4.4 out of 5 stars
      ·
      4.8K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      Epidemiology in Public Health Practice

      Skills you'll gain: Epidemiology, Public Health, Spatial Data Analysis, Data Presentation, Public Health and Disease Prevention, Geographic Information Systems, Health Policy, Chronic Diseases, Health Systems, Infectious Diseases, Biostatistics, Risk Analysis, Investigation, Community Health, Health Care, Data Analysis, Program Evaluation, Health Information Management, Health Informatics, Continuous Monitoring

      4.7
      Rating, 4.7 out of 5 stars
      ·
      4.4K reviews

      Beginner · Specialization · 3 - 6 Months

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

    • Digital Transformation: University of Virginia
    • Business Analytics: Campus BBVA
    • Introduction to battery-management systems: University of Colorado Boulder
    • Understanding Einstein: The Special Theory of Relativity: Stanford University
    • MLOps | Machine Learning Operations: Duke University
    • Essentials of Prompt Engineering: Amazon Web Services
    • Introduction to Machine Learning: Duke University
    • Data Structures in C: University of Michigan
    • Data Science Ethics: University of Michigan
    • Statistical Modeling for Data Science Applications: University of Colorado Boulder

    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

    Coursera’s Data Engineering courses offer learners a deep dive into the technical skills required to design, build, and manage data infrastructure:

    • Techniques for designing data models and databases.
    • Skills in data warehousing and data lake construction and management.
    • Proficiency in big data technologies such as Hadoop, Spark, and Apache Kafka.
    • Best practices for data integration, ETL (extract, transform, load) processes, and pipeline construction.
    • Understanding of data quality management and data governance.
    • Application of automation and monitoring tools to maintain data systems.‎

    Data Engineering courses on Coursera cater to learners of all backgrounds:

    • Beginners can start with introductory courses that teach the basics of data infrastructure and SQL.
    • Those with some technical experience can focus on advanced topics like big data processing or cloud data services.
    • Advanced learners can explore specialized areas such as machine learning data pipelines or real-time data processing.‎

    Learners who complete Data Engineering courses on Coursera can earn credentials that may enhance their professional profiles:

    • Professional certificates that demonstrate a foundational understanding and practical skills in data engineering.
    • Specializations that focus on detailed aspects of data engineering, such as performance tuning, scalability, or security.
    • Certificates that can potentially be recognized by technology companies and other employers as evidence of expertise in data engineering.‎

    Skills in data engineering can lead to a variety of roles within the technology and analytics sectors:

    • Data Engineer, responsible for designing and managing scalable data systems.
    • Database Administrator, maintaining and optimizing database performance.
    • Cloud Solutions Architect, focusing on cloud storage and data services.
    • Data Architect, shaping strategic data practices and architectures.
    • Machine Learning Engineer, preparing data infrastructure for predictive models.‎

    Yes, Coursera offers a variety of free courses across many topics, including data engineering. While you can access most course materials for free by auditing the courses, this does not include graded assignments or a completion certificate. For those looking to obtain a certificate to showcase their learning or enhance their professional profile, Coursera provides the option to purchase the course. Additionally, Coursera offers free trials or financial aid to learners who qualify, making certifications more accessible to everyone.‎

    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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