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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

    • Status: Free Trial
      Free Trial
      P

      Packt

      Full Stack Twitter Clone – API Development

      Skills you'll gain: Node.JS, Back-End Web Development, Scalability, Server Side, Authentications, Application Programming Interface (API), Secure Coding, Restful API, User Accounts, Data Modeling, Middleware, MongoDB, JSON, Real Time Data, Databases

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Create a RAG Application with BigQuery

      Skills you'll gain: Big Data, Data Processing, Identity and Access Management, Google Cloud Platform, Data Pipelines, Large Language Modeling, Generative AI, Prompt Engineering

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New
      Status: Free Trial
      Free Trial
      U

      Universidades Anáhuac

      Deep Learning: Del Concepto a la Práctica

      Skills you'll gain: Artificial Neural Networks, Keras (Neural Network Library), Deep Learning, Applied Machine Learning, Tensorflow, Image Analysis, Computer Vision, Natural Language Processing, Artificial Intelligence, Python Programming

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Create Image Captioning Models - Português Brasileiro

      Skills you'll gain: Image Analysis, Deep Learning, Computer Vision, Applied Machine Learning

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - 日本語版

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Data Modeling, Feature Engineering, Continuous Deployment, Applied Machine Learning, Data Processing, Data Management, Data Storage

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - Español

      Skills you'll gain: MLOps (Machine Learning Operations), Google Cloud Platform, Feature Engineering, Data Processing, Data Modeling, Data Management, Data Storage Technologies, Data Storage

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Getting Started with Google Kubernetes Engine - 简体中文

      Skills you'll gain: Kubernetes, Containerization, Google Cloud Platform, Docker (Software), Cloud Computing, Infrastructure As A Service (IaaS), Cloud Infrastructure, Application Deployment, Identity and Access Management, YAML, Command-Line Interface

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Encoder-Decoder Architecture - 简体中文

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

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure - Yкраїнська

      Skills you'll gain: Cloud Infrastructure, Google Cloud Platform, Cloud Services, Infrastructure As A Service (IaaS), Kubernetes, Cloud Computing, Cloud Storage, Application Deployment, Public Cloud, Containerization, Data Storage Technologies, Network Infrastructure, Serverless Computing, Identity and Access Management, Virtual Machines, Platform As A Service (PaaS)

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Attention Mechanism - בעברית

      Skills you'll gain: Machine Learning Methods, Deep Learning, Applied Machine Learning, Artificial Neural Networks, Natural Language Processing

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Packt

      User Profile and Listing Management

      Skills you'll gain: React.js, User Interface (UI), Web Applications, User Accounts, Front-End Web Development, User Interface and User Experience (UI/UX) Design, Javascript, Responsive Web Design, Authorization (Computing), Authentications, Data Validation

      Intermediate · Course · 1 - 4 Weeks

    • P

      Packt

      Salesforce Integration With External Systems Part 2

      Skills you'll gain: Authentications, Salesforce, Salesforce Development, Application Programming Interface (API), Systems Integration, Software Documentation, Postman API Platform, Restful API, Cloud-Based Integration, Workflow Management, Data Integration, Integration Testing, Web Development Tools, Authorization (Computing)

      Advanced · Course · 1 - 3 Months

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

    • Full Stack Twitter Clone – API Development: Packt
    • Create a RAG Application with BigQuery: Google Cloud
    • Deep Learning: Del Concepto a la Práctica: Universidades Anáhuac
    • Create Image Captioning Models - Português Brasileiro: Google Cloud
    • MLOps with Vertex AI: Manage Features - 日本語版: Google Cloud
    • MLOps with Vertex AI: Manage Features - Español: Google Cloud
    • Getting Started with Google Kubernetes Engine - 简体中文: Google Cloud
    • Encoder-Decoder Architecture - 简体中文: Google Cloud
    • Google Cloud Fundamentals: Core Infrastructure - Yкраїнська: Google Cloud
    • Attention Mechanism - בעברית: 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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