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    • Scientific Computing

    Scientific Computing Courses Online

    Learn scientific computing for data analysis and simulations. Understand algorithms, numerical methods, and programming for scientific applications.

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    Explore the Scientific Computing Course Catalog

    • G

      Google Cloud

      Gemini for Application Developers - 한국어

      Skills you'll gain: Google Cloud Platform, Cloud Development, Generative AI, Application Development, Integrated Development Environments, Computer Programming Tools, Software Development, Cloud Services, Code Review

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Drive - Français

      Skills you'll gain: Google Workspace, Generative AI, Document Management, File Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Slides - Português Brasileiro

      Skills you'll gain: Google Workspace, Generative AI, Prompt Engineering

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - Português Brasileiro

      Skills you'll gain: Google Cloud Platform, Generative AI, Virtual Private Networks (VPN), Prompt Engineering, Cloud Engineering, Network Engineering, Network Architecture

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Drive - 한국어

      Skills you'll gain: Google Workspace, Generative AI, Prompt Engineering, File Management, Document Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - 한국어

      Skills you'll gain: Prompt Engineering, Google Cloud Platform, Network Planning And Design, Virtual Private Networks (VPN), Generative AI, Virtual Machines, Cloud Management, Network Engineering

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - Français

      Skills you'll gain: Extract, Transform, Load, Data Sharing, Data Pipelines, Metadata Management, Google Cloud Platform, Data Migration, Data Processing, Big Data, Data Integration, Cloud Storage, Data Warehousing, Data Management, Data Lakes, Data Import/Export, Data Storage, Data Transformation, Automation

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini in Gmail - 简体中文

      Skills you'll gain: Gmail, Google Workspace, Prompt Engineering, Generative AI, AI Personalization

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Hybrid and Multicloud - 日本語版

      Skills you'll gain: Virtual Private Networks (VPN), Google Cloud Platform, Multi-Cloud, Hybrid Cloud Computing, Cloud Computing, General Networking, Network Infrastructure, Network Architecture, Wide Area Networks, Network Security, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      App Deployment, Debugging, and Performance - 日本語版

      Skills you'll gain: Cloud-Native Computing, Cloud Applications, Cloud Development, Application Deployment, Google Cloud Platform, Infrastructure as Code (IaC), Containerization, Docker (Software), Application Performance Management, Platform As A Service (PaaS), Kubernetes, Cloud Computing, Continuous Deployment, Serverless Computing, Performance Tuning, Debugging

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Planning for a Google Workspace Deployment - Français

      Skills you'll gain: Data Migration, Change Management, Google Workspace, Organizational Change, User Provisioning, Application Deployment, Enterprise Application Management, Cloud Computing, End User Training and Support, Systems Integration, Employee Training

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Serverless Data Processing with Dataflow: Operations - 日本語版

      Skills you'll gain: Dataflow, Data Pipelines, Data Processing, Debugging, Performance Tuning, Continuous Deployment, Data Integrity, Serverless Computing, CI/CD, Unit Testing, Google Cloud Platform, Disaster Recovery, Integration Testing

      Advanced · Course · 1 - 3 Months

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    In summary, here are 10 of our most popular scientific computing courses

    • Gemini for Application Developers - 한국어: Google Cloud
    • Gemini in Google Drive - Français: Google Cloud
    • Gemini in Google Slides - Português Brasileiro: Google Cloud
    • Gemini for Network Engineers - Português Brasileiro : Google Cloud
    • Gemini in Google Drive - 한국어: Google Cloud
    • Gemini for Network Engineers - 한국어: Google Cloud
    • Introduction to Data Engineering on Google Cloud - Français: Google Cloud
    • Gemini in Gmail - 简体中文: Google Cloud
    • Networking in Google Cloud: Hybrid and Multicloud - 日本語版: Google Cloud
    • App Deployment, Debugging, and Performance - 日本語版: Google Cloud

    Frequently Asked Questions about Scientific Computing

    Scientific computing is the high-powered, research-focused application of computing theories and methodologies to solve scientific problems. Another way to view scientific computing is that it is the intersection point between computer science, numerical mathematics, and modeling. In scientific computing, there are a variety of tools, techniques, and theories used to analyze science, engineering, and mathematical computer models of problems. This field of study is also known as computational science. With either definition, it is an area of science that encompasses many different disciplines while using advanced computing capabilities to understand and solve problems with natural systems.‎

    Scientific computing is valuable to learn as many of the concepts explored in this area deal with futuristic ways to use computers. One of these ways is due to the increased power of supercomputers in recent years. As a result, it has become easier for computer scientists to use scientific computing to create complex simulations that were previously unimaginable, such as particle physics. Someone who has learned computing through networking, computer hardware, programming, databases, or algorithms could have the right mix of skills and insights to learn scientific computing‎

    Typical career opportunities that can arise from learning scientific computing include working as a data scientist, cloud operations specialist, scientific programmer/modeler, data engineer, or DevOps engineer. Additional roles are in data acquisition, ingestion, and research integration as a computational scientist. Other roles involve creating user interfaces and back-end services to automate the scientific output of multi-institutional science research projects.‎

    When you take online courses about scientific computing, you can learn the fundamentals of science research and the mathematical methodologies involved in this scientific approach. You may also be exposed to data analysis as it relates to mathematical modeling, along with related knowledge originally developed within mathematics. Today, this set of mathematical techniques and theories is a major part of scientific computing known as numerical analysis. Taking online courses can help you learn more about these data-rich fields, as well as newer, advanced technologies like Databricks and Apache Spark that scientific computing experts use in large research projects.‎

    Online Scientific Computing courses offer a convenient and flexible way to enhance your knowledge or learn new Scientific Computing skills. Choose from a wide range of Scientific Computing courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Scientific Computing, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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