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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

    • S

      Stanford University

      Introduction to Clinical Data

      Skills you'll gain: Feature Engineering, Data Ethics, Clinical Research, Clinical Data Management, Health Informatics, Medical Records, Unstructured Data, Health Care, Data Mining, Electronic Medical Record, Data Collection, Data Manipulation, Text Mining, Health Disparities, Data Processing, Medical Imaging

      4.6
      Rating, 4.6 out of 5 stars
      ·
      430 reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Essential Google Cloud Infrastructure: Core Services

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Identity and Access Management, Cloud Computing, Data Storage, Cloud Storage, Key Management, User Accounts, System Monitoring, Security Management, NoSQL, SQL, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Introduction to FPGA Design for Embedded Systems

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Hardware Design, Electronic Hardware, Electronic Systems, Embedded Systems, Application Specific Integrated Circuits, Electrical and Computer Engineering, Schematic Diagrams, Technical Design, System Design and Implementation, Computer Architecture, Software Design, Hardware Architecture, Microarchitecture, Computational Logic, System Configuration, Verification And Validation, Design Software, Simulation and Simulation Software, Prototyping

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 4 Weeks

    • I

      Indian School of Business

      Trading Strategies in Emerging Markets

      Skills you'll gain: Financial Statements, Peer Review, Financial Statement Analysis, Financial Trading, Balance Sheet, Portfolio Management, Data Collection, Market Liquidity, Market Data, Investment Management, Financial Analysis, Performance Analysis, Financial Market, Market Dynamics, Project Design, Market Analysis, Business Planning, Securities Trading, Performance Measurement, Technical Analysis

      4.2
      Rating, 4.2 out of 5 stars
      ·
      2.7K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Colorado Boulder

      Business Writing

      Skills you'll gain: Business Writing, Business Correspondence, Business Communication, Writing, Organizational Skills, Concision, Writing and Editing, Proofreading, Grammar, Communication, Editing, Organizational Strategy, Persuasive Communication, Verbal Communication Skills, Communication Strategies

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

      Beginner · Course · 1 - 4 Weeks

    • U

      University of Toronto

      Introduction to Self-Driving Cars

      Skills you'll gain: Control Systems, Embedded Software, Automation, Software Architecture, Simulations, Safety Assurance, Hardware Architecture, Systems Architecture, Verification And Validation, Mathematical Modeling, Engineering Analysis, Computer Hardware, Risk Management Framework, Mechanics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.9K reviews

      Advanced · Course · 1 - 3 Months

    • J

      Johns Hopkins University

      Biostatistics in Public Health

      Skills you'll gain: Biostatistics, Statistical Hypothesis Testing, Regression Analysis, Sampling (Statistics), Statistical Methods, Statistical Visualization, Statistical Analysis, Epidemiology, Medical Science and Research, Quantitative Research, Descriptive Statistics, Statistical Inference, Data Literacy, Probability Distribution, Scientific Methods, Data Analysis, Public Health, Probability & Statistics, Advanced Analytics, Statistical Modeling

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.3K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      DataOps Methodology

      Skills you'll gain: Data Governance, Data Strategy, Data Management, Data Modeling, Data Quality, Data Literacy, Data Integration, Metadata Management, Data Transformation, Data-Driven Decision-Making, Business Priorities, Data Pipelines, Sprint Retrospectives, Continuous Improvement Process, Sprint Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      55 reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Davis

      Market Research

      Skills you'll gain: Surveys, Survey Creation, Focus Group, Quantitative Research, Qualitative Research, Data Synthesis, Market Research, Proposal Writing, Data Storytelling, Statistical Analysis, Presentations, Discussion Facilitation, Marketing Analytics, Statistical Methods, Marketing, Research Methodologies, Data Analysis, Data Visualization Software, Market Analysis, Business Research

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.5K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      C

      Coursera Project Network

      How To Visualize Your Data Using Microsoft Powerpoint

      Skills you'll gain: Presentations, Microsoft PowerPoint, Data Visualization, Data Storytelling, Video Editing

      4.6
      Rating, 4.6 out of 5 stars
      ·
      232 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • U

      University of Illinois Urbana-Champaign

      Cloud Computing

      Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Network Architecture, Data Storage Technologies, Computer Networking, File Systems, Apache Hadoop, Network Infrastructure, Cloud Applications, Infrastructure As A Service (IaaS), Middleware, Software-Defined Networking, Data Store, NoSQL, Cloud Platforms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Reproducible Research

      Skills you'll gain: Rmarkdown, Knitr, Data Sharing, Statistical Reporting, Data Analysis, Statistical Analysis, Data Validation, R Programming, Verification And Validation, Technical Documentation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4.2K reviews

      Mixed · Course · 1 - 4 Weeks

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

    • Introduction to Clinical Data: Stanford University
    • Essential Google Cloud Infrastructure: Core Services: Google Cloud
    • Introduction to FPGA Design for Embedded Systems: University of Colorado Boulder
    • Trading Strategies in Emerging Markets: Indian School of Business
    • Business Writing: University of Colorado Boulder
    • Introduction to Self-Driving Cars: University of Toronto
    • Biostatistics in Public Health: Johns Hopkins University
    • DataOps Methodology : IBM
    • Market Research: University of California, Davis
    • How To Visualize Your Data Using Microsoft Powerpoint: Coursera Project Network

    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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