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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

      Applying Machine Learning to Your Data with GC - Español

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Predictive Modeling, Deep Learning, Artificial Intelligence, Natural Language Processing, Computer Vision, Application Programming Interface (API)

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for end-to-end SDLC - Bahasa Indonesia

      Skills you'll gain: Development Testing, Debugging, Software Testing, Software Development Life Cycle, Web Applications, Application Development, Software Development Tools, Google Cloud Platform, Application Lifecycle Management, Generative AI Agents, Cloud Applications, Query Languages

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Logging and Monitoring in Google Cloud - 日本語版

      Skills you'll gain: Service Level, Google Cloud Platform, System Monitoring, Event Monitoring, Cloud Management, Continuous Monitoring, Application Performance Management, Identity and Access Management, Performance Tuning, Cloud Applications, Real Time Data, Data Import/Export, Query Languages

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Securing and Integrating Components of Your App - Español

      Skills you'll gain: Cloud Applications, Application Development, Google Cloud Platform, API Gateway, Cloud API, Cloud-Based Integration, Serverless Computing, Authentications, Identity and Access Management, Secure Coding, Microservices, Node.JS, Event-Driven Programming, Authorization (Computing), Natural Language Processing

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - 简体中文

      Skills you'll gain: Google Workspace, Generative AI, Productivity Software, Data Ethics, Gmail, Ethical Standards And Conduct, Google Docs, Google Sheets

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Introduction to AI and Machine Learning on GC - Indonesian

      Skills you'll gain: Generative AI, Google Cloud Platform, MLOps (Machine Learning Operations), Artificial Intelligence and Machine Learning (AI/ML), Cloud Infrastructure, Cloud Solutions, Big Data, Machine Learning, Predictive Modeling, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Fundamentals - Français

      Skills you'll gain: Network Monitoring, Network Troubleshooting, Google Cloud Platform, General Networking, Virtual Private Networks (VPN), Network Architecture, Network Performance Management, Cloud Infrastructure, Cloud Services, Virtual Machines, Service Level

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - Español

      Skills you'll gain: Information Privacy, Generative AI, Google Cloud Platform, Secure Coding, Personally Identifiable Information, Cloud Security, Data Security, Information Systems Security, Artificial Intelligence, Safety and Security

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI: Privacy & Safety - Português

      Skills you'll gain: Generative AI, Google Cloud Platform, Information Privacy, Cloud Security, Personally Identifiable Information, Data Security, Artificial Intelligence, Information Systems Security, Safety and Security, Security Controls, Data Encryption Standard

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Application Developers - Bahasa Indonesia

      Skills you'll gain: Cloud Development, Google Cloud Platform, Application Development, Integrated Development Environments, Software Development Tools, Generative AI, Code Review, Natural Language Processing

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Observability in Google Cloud - 日本語版

      Skills you'll gain: Application Performance Management, Google Cloud Platform, Cloud Management, Identity and Access Management, System Monitoring, Cloud Applications, Network Monitoring, Kubernetes, Computing Platforms, Query Languages, Debugging

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Trust and Security with Google Cloud - Português Brasileiro

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Cloud Security, Data Security, Infrastructure Security, Cybersecurity, Network Security, Cloud Computing, Google Cloud Platform, Authentications, Authorization (Computing), Data Governance, Encryption

      Beginner · Course · 1 - 3 Months

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

    • Applying Machine Learning to Your Data with GC - Español: Google Cloud
    • Gemini for end-to-end SDLC - Bahasa Indonesia: Google Cloud
    • Logging and Monitoring in Google Cloud - 日本語版: Google Cloud
    • Securing and Integrating Components of Your App - Español: Google Cloud
    • Introduction to Gemini for Google Workspace - 简体中文: Google Cloud
    • Introduction to AI and Machine Learning on GC - Indonesian: Google Cloud
    • Networking in Google Cloud: Fundamentals - Français: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - Español: Google Cloud
    • Responsible AI: Privacy & Safety - Português: Google Cloud
    • Gemini for Application Developers - Bahasa Indonesia: 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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