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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

      Google Cloud Customer Care Fundamentals - 한국어

      Skills you'll gain: Product Support, Technical Support and Services, Technical Support, Google Cloud Platform, Service Level, Issue Tracking, Problem Management, Technical Communication, File Management, Personally Identifiable Information

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Boost Productivity with Gemini in BigQuery - 한국어

      Skills you'll gain: Exploratory Data Analysis, Prompt Engineering, Generative AI, Data Visualization Software, Google Cloud Platform, Data Cleansing, Data Transformation, Debugging, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning in the Enterprise - Italiano

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Management, Data Governance, Workflow Management, Machine Learning, Data Pipelines, Predictive Modeling, Applied Machine Learning, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık

      Skills you'll gain: Data Ethics, Testability, Maintainability, Artificial Intelligence, Data Visualization Software, Applied Machine Learning, Machine Learning, Software Documentation

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings - 日本語版

      Skills you'll gain: Large Language Modeling, Generative AI, Natural Language Processing, Google Cloud Platform, Artificial Neural Networks, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Cloud Architects - Deutsch

      Skills you'll gain: Google Cloud Platform, Generative AI, Kubernetes, Application Deployment, Prompt Engineering, Cloud Infrastructure, Shell Script, Infrastructure as Code (IaC), Cloud Computing Architecture

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Load Balancing - Français

      Skills you'll gain: Load Balancing, Google Cloud Platform, Network Performance Management, Hybrid Cloud Computing, Proxy Servers, Scalability, TCP/IP, Servers, Cloud Security, Distributed Denial-Of-Service (DDoS) Attacks

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Cloud-Grundlagen: Kerninfrastruktur

      Skills you'll gain:

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Your Cloud Architect Journey - Português

      Skills you'll gain: Cloud Computing Architecture, Cloud Security, Cloud Solutions, Solution Architecture, Network Planning And Design, Google Cloud Platform, System Implementation, Process Optimization, Cloud Management, Business Requirements, Scalability, Cost Management

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Cloud Architects - 한국어

      Skills you'll gain: Kubernetes, Google Cloud Platform, Application Deployment, Cloud-Native Computing, Cloud Infrastructure, Generative AI Agents, Prompt Engineering, Unix Commands

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Network Architecture - Français

      Skills you'll gain: Network Architecture, Network Planning And Design, Cloud Computing Architecture, Network Troubleshooting, Computer Networking, Network Infrastructure, Cloud Infrastructure, Google Cloud Platform, Network Routing, Network Security, Network Monitoring, Virtual Private Networks (VPN), Load Balancing, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Network Engineers - 繁體中文

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

      Beginner · Course · 1 - 4 Weeks

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

    • Google Cloud Customer Care Fundamentals - 한국어: Google Cloud
    • Boost Productivity with Gemini in BigQuery - 한국어: Google Cloud
    • Machine Learning in the Enterprise - Italiano: Google Cloud
    • Geliştiriciler için Sorumlu Yapay Zeka: Yorumlanabilirlik ve Şeffaflık: Google Cloud
    • Vector Search and Embeddings - 日本語版: Google Cloud
    • Gemini for Cloud Architects - Deutsch: Google Cloud
    • Networking in Google Cloud: Load Balancing - Français: Google Cloud
    • Google Cloud-Grundlagen: Kerninfrastruktur: Google Cloud
    • Preparing for Your Cloud Architect Journey - Português: Google Cloud
    • Gemini for Cloud Architects - 한국어: 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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