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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

      Logging and Monitoring in GC - Português Brasileiro

      Skills you'll gain: Application Performance Management, System Monitoring, Google Cloud Platform, Event Monitoring, Cloud Management, Performance Tuning, Debugging, Cloud Security, Continuous Monitoring, Cloud Applications, Cloud Computing Architecture, Query Languages, Data Import/Export

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini in Google Slides - Bahasa Indonesia

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      Finalizing the Windmill and Integrating with Unreal Engine 5

      Skills you'll gain: 3D Modeling, Unreal Engine, Visualization (Computer Graphics), Animations, Computer Graphics, Animation and Game Design, Video Game Development

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Achieving Advanced Insights with BigQuery - Français

      Skills you'll gain: SQL, Big Data, Database Architecture and Administration, Database Design, Data Access, Performance Tuning, Data Warehousing, Data Security, Data Manipulation, Data Structures, Cloud Computing, Scalability

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Responsible AI for Developers: Interpretability & Transparency - 繁體中文

      Skills you'll gain: Data Ethics, Data Analysis, Data Modeling, Artificial Intelligence, Machine Learning, Technical Communication

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      B

      Board Infinity

      Deploying and Scaling iOS Applications

      Skills you'll gain: Apple iOS, Apple Xcode, Secure Coding, iOS Development, Core Data (Software), Application Deployment, Swift Programming, Scalability, Performance Tuning, Application Programming Interface (API), API Design, JSON, Application Security, Encryption, Application Performance Management, Performance Testing, Debugging

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Encoder-Decoder Architecture - 日本語版

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

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Machine Learning in the Enterprise - 한국어

      Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Data Processing, Google Cloud Platform, Workflow Management, Tensorflow, Applied Machine Learning, Data Pipelines, Machine Learning, Containerization, Performance Tuning, Continuous Monitoring

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Defining and Implementing Networks - Español

      Skills you'll gain: Load Balancing, Google Cloud Platform, General Networking, Computer Networking, Network Administration, Virtual Private Networks (VPN), Cloud Computing, Identity and Access Management, Network Routing, Firewall, User Accounts, Virtual Machines, Servers, Content Management

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Your Professional Cloud Security Engineer Journey - 日本語版

      Skills you'll gain: Cloud Security, Identity and Access Management, Network Security, Data Security, Security Controls, Firewall, Payment Card Industry (PCI) Data Security Standards, Google Cloud Platform, Cloud Computing Architecture, Encryption, CI/CD, Incident Response

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Geliştiriciler İçin Sorumlu Yapay Zeka

      Skills you'll gain: Cloud Security, Google Cloud Platform, Data Ethics, Generative AI, Information Privacy, Application Security, Artificial Intelligence, Data Security, Personally Identifiable Information, Information Systems Security, Applied Machine Learning, Machine Learning, Software Visualization, Data Visualization Software, Artificial Intelligence and Machine Learning (AI/ML), Safety and Security, Data Quality, Technical Documentation, Data Validation, Data Analysis

      Intermediate · Specialization · 1 - 3 Months

    • G

      Google Cloud

      Managing Security in Google Cloud - Português Brasileiro

      Skills you'll gain: Identity and Access Management, Cloud Security, Google Cloud Platform, Cloud Computing, Role-Based Access Control (RBAC), Threat Management, Authorization (Computing), User Provisioning, Cloud Services, Network Security, Threat Detection, Firewall, Encryption, Load Balancing

      Intermediate · Course · 1 - 3 Months

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

    • Logging and Monitoring in GC - Português Brasileiro: Google Cloud
    • Gemini in Google Slides - Bahasa Indonesia: Google Cloud
    • Finalizing the Windmill and Integrating with Unreal Engine 5: Packt
    • Achieving Advanced Insights with BigQuery - Français: Google Cloud
    • Responsible AI for Developers: Interpretability & Transparency - 繁體中文: Google Cloud
    • Deploying and Scaling iOS Applications: Board Infinity
    • Encoder-Decoder Architecture - 日本語版: Google Cloud
    • Machine Learning in the Enterprise - 한국어: Google Cloud
    • Defining and Implementing Networks - Español: Google Cloud
    • Preparing for Your Professional Cloud Security Engineer Journey - 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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