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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 Security Engineers - 한국어

      Skills you'll gain: Google Cloud Platform, Cloud Security, Generative AI, Cloud Computing, Application Deployment, Security Engineering, Vulnerability Management, Security Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Building Batch Data Pipelines on Google Cloud - 한국어

      Skills you'll gain: Dataflow, Data Pipelines, Data Transformation, Extract, Transform, Load, Data Processing, Google Cloud Platform, Data Integration, Serverless Computing, Big Data, Apache Spark, Cloud Storage, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Kodlayıcı-Kod Çözücü Mimarisi

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Natural Language Processing, Machine Learning Methods, Applied Machine Learning, Deep Learning, Artificial Neural Networks

      Advanced · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Load Balancing - Português

      Skills you'll gain: Load Balancing, Hybrid Cloud Computing, Cloud Security, Cloud Platforms, Cloud Management, Network Performance Management, Network Routing, Servers

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Cloud Architects - Português Brasileiro

      Skills you'll gain: Kubernetes, Google Cloud Platform, Infrastructure as Code (IaC), Cloud Management, Cloud Infrastructure, Generative AI Agents, Cloud Computing Architecture, Prompt Engineering, Command-Line Interface

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Encoder-Decoder Architecture - Deutsch

      Skills you'll gain: Keras (Neural Network Library), Tensorflow, Applied Machine Learning, Deep Learning, Natural Language Processing, Artificial Neural Networks, Machine Learning Methods

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Security Engineers - 繁體中文

      Skills you'll gain: Generative AI, Application Deployment, Google Cloud Platform, Cloud Security, Cloud Computing, Security Engineering, System Configuration, Collaborative Software

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - Bahasa Indonesia

      Skills you'll gain: Google Cloud Platform, Product Support, Help Desk Support, End User Training and Support, Technical Support, Technical Support and Services, Service Level, Cloud Management, Cloud Services, Technical Communication, Issue Tracking

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文

      Skills you'll gain: Generative AI, MLOps (Machine Learning Operations), Continuous Monitoring, Statistical Methods, Predictive Modeling, Google Cloud Platform, Machine Learning, Data Quality, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for end-to-end SDLC - 简体中文

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

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - 繁體中文

      Skills you'll gain: Data Ethics, Artificial Intelligence, Google Cloud Platform, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Machine Learning, Data Quality, Data Validation

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 简体中文

      Skills you'll gain: Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Data Security, Computer Security, Security Controls, Data Governance, Safety and Security, Artificial Intelligence, Encryption

      Intermediate · Course · 1 - 3 Months

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

    • Gemini for Security Engineers - 한국어: Google Cloud
    • Building Batch Data Pipelines on Google Cloud - 한국어: Google Cloud
    • Kodlayıcı-Kod Çözücü Mimarisi: Google Cloud
    • Networking in Google Cloud: Load Balancing - Português: Google Cloud
    • Gemini for Cloud Architects - Português Brasileiro: Google Cloud
    • Encoder-Decoder Architecture - Deutsch: Google Cloud
    • Gemini for Security Engineers - 繁體中文: Google Cloud
    • Google Cloud Customer Care Fundamentals - Bahasa Indonesia: Google Cloud
    • Machine Learning Operations (MLOps) with Vertex AI: Model Evaluation - 简体中文: Google Cloud
    • Gemini for end-to-end SDLC - 简体中文: 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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