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    • Data Engineering

    Data Engineering Courses Online

    Learn data engineering for building data pipelines and infrastructure. Understand data integration, storage, and processing technologies.

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    Explore the Data Engineering Course Catalog

    • D

      Duke University

      Python and Pandas for Data Engineering

      Skills you'll gain: Pandas (Python Package), Version Control, Git (Version Control System), Data Manipulation, Software Development Tools, Development Environment, Data Structures, Python Programming, Data Analysis Software, NumPy, Data Import/Export, Integrated Development Environments, Virtual Environment

      4.6
      Rating, 4.6 out of 5 stars
      ·
      241 reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud Database Engineer

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Application Deployment, Prompt Engineering, Kubernetes, Containerization, Database Architecture and Administration, MySQL, Cloud Computing Architecture, PostgreSQL, Identity and Access Management, Cloud Storage, Data Migration, Cloud Services, Database Administration, Cloud Management, Virtual Machines, Cloud Security, Cloud Applications, Operational Databases

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

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Generative AI: Elevate your Data Engineering Career

      Skills you'll gain: Generative AI, Database Design, Data Pipelines, Query Languages, Extract, Transform, Load, Snowflake Schema, Star Schema, Data Warehousing, Data Ethics, Data Infrastructure, Data Architecture, Data Mining, Data Synthesis, Data Analysis, Artificial Intelligence, Data Quality

      4.8
      Rating, 4.8 out of 5 stars
      ·
      28 reviews

      Intermediate · Course · 1 - 4 Weeks

    • D

      Duke University

      Advanced Data Engineering

      Skills you'll gain: Performance Analysis, Apache Airflow, Workflow Management, Performance Tuning, Scalability, Dataflow, Data Infrastructure, Database Management, Database Systems, Data Pipelines, Data Warehousing, Data Architecture, Operational Databases, Real Time Data, MySQL, Data Transformation, Middleware

      4.3
      Rating, 4.3 out of 5 stars
      ·
      11 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Power BI Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Excel Formulas, Extract, Transform, Load, Power BI, Data Analysis Expressions (DAX), Microsoft Excel, Microsoft Copilot, Data Modeling, Data-Driven Decision-Making, Star Schema, Data Analysis, Data Presentation, Data Visualization Software, Spreadsheet Software, Data Validation, Interactive Data Visualization, Data Transformation, Data Cleansing, Data Storage

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: AI skills
      AI skills
      I

      IBM

      IBM Data Analyst

      Skills you'll gain: Data Storytelling, Dashboard, Data Visualization Software, Plotly, Data Wrangling, Data Visualization, Generative AI, SQL, Interactive Data Visualization, Exploratory Data Analysis, Data Cleansing, Big Data, Jupyter, Matplotlib, Data Analysis, Statistical Analysis, Pandas (Python Package), Data Manipulation, Excel Formulas, Professional Networking

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      91K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google

      Google Advanced Data Analytics

      Skills you'll gain: Exploratory Data Analysis, Data Storytelling, Statistical Hypothesis Testing, Data Ethics, Data Presentation, Data Visualization Software, Sampling (Statistics), Regression Analysis, Feature Engineering, Data Transformation, Descriptive Statistics, Data Visualization, Tableau Software, Data Manipulation, Statistical Analysis, Probability Distribution, Statistical Methods, Applied Machine Learning, Object Oriented Programming (OOP), Data Analysis

      Build toward a degree

      4.7
      Rating, 4.7 out of 5 stars
      ·
      6K reviews

      Advanced · Professional Certificate · 3 - 6 Months

    • U

      University of California San Diego

      Data Structures and Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Network Routing, Program Development, Debugging, Network Model, Bioinformatics, Operations Research, Data Storage, Development Testing, Test Engineering, Software Testing, Theoretical Computer Science, Computational Thinking, Network Analysis, Test Case, Programming Principles, Computer Programming, Epidemiology

      4.6
      Rating, 4.6 out of 5 stars
      ·
      17K reviews

      Intermediate · Specialization · 3 - 6 Months

    • I

      IBM

      Data Engineering Career Guide and Interview Preparation

      Skills you'll gain: Professional Networking, Interviewing Skills, LinkedIn, Technical Communication, Professional Development, Data Strategy, Data Ethics, Data Infrastructure, Data Pipelines, Verbal Communication Skills, Communication Strategies

      4.8
      Rating, 4.8 out of 5 stars
      ·
      76 reviews

      Beginner · Course · 1 - 4 Weeks

    • I

      IBM

      IBM DevOps and Software Engineering

      Skills you'll gain: CI/CD, Istio, Open Web Application Security Project (OWASP), Continuous Integration, Software Development Life Cycle, Linux Commands, Agile Software Development, Kubernetes, Unit Testing, Cloud Computing Architecture, Application Deployment, Test Driven Development (TDD), Gherkin (Scripting Language), Jenkins, Bash (Scripting Language), Cloud Services, DevOps, Git (Version Control System), Jupyter, Grafana

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      59K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • V

      Vanderbilt University

      Prompt Engineering

      Skills you'll gain: Prompt Engineering, ChatGPT, Ideation, Verification And Validation, Data Validation, Data Presentation, Productivity, Document Management, Generative AI, Artificial Intelligence, Large Language Modeling, Risk Management Framework, Microsoft Excel, Creative Thinking, Ingenuity, Brainstorming, Problem Solving, Data Ethics, Data Analysis, Information Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.4K reviews

      Beginner · Specialization · 1 - 3 Months

    • W

      Whizlabs

      Data Engineering in AWS

      Skills you'll gain: Data Collection, AWS SageMaker, Feature Engineering, Amazon Web Services, Data Migration, Data Cleansing, Data Manipulation, Jupyter, Dimensionality Reduction, Exploratory Data Analysis, Unsupervised Learning, Machine Learning

      3.9
      Rating, 3.9 out of 5 stars
      ·
      21 reviews

      Beginner · Course · 1 - 4 Weeks

    Data Engineering learners also search

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    1234…724

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

    • Python and Pandas for Data Engineering: Duke University
    • Google Cloud Database Engineer: Google Cloud
    • Generative AI: Elevate your Data Engineering Career : IBM
    • Advanced Data Engineering: Duke University
    • Microsoft Power BI Data Analyst: Microsoft
    • IBM Data Analyst: IBM
    • Google Advanced Data Analytics: Google
    • Data Structures and Algorithms: University of California San Diego
    • Data Engineering Career Guide and Interview Preparation: IBM
    • IBM DevOps and Software Engineering: IBM

    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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