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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

      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

    • G

      Google Cloud

      Getting Started with Application Development - Español

      Skills you'll gain: Cloud Applications, Google Cloud Platform, Application Development, Cloud Storage, Cloud Services, Microservices, Data Storage, Software Development, Data Storage Technologies, Software Design, API Design, Node.JS, NoSQL

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Advanced Navigation and Data Handling

      Skills you'll gain: Apple iOS, Swift Programming, UI Components, Mobile Development, Graphics Software, Information Architecture, Data Management, Animations, Visualization (Computer Graphics), Data Storage, Apple Xcode, Responsive Web Design, Human Computer Interaction, User Interface (UI), Databases

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Create Image Captioning Models - Bahasa Indonesia

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

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini in Google Docs - Português Brasileiro

      Skills you'll gain: Google Docs, Generative AI, Google Workspace, Prompt Engineering, Collaborative Software, Content Creation

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Applying Machine Learning to Your Data with GC - Français

      Skills you'll gain: Google Cloud Platform, Applied Machine Learning, Machine Learning, Big Data, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Predictive Modeling, Test Data, Deep Learning, Data Processing, Image Analysis, Application Programming Interface (API), Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Machine Learning in the Enterprise - 日本語版

      Skills you'll gain: MLOps (Machine Learning Operations), Data Management, Data Governance, Google Cloud Platform, Workflow Management, Data Processing, Data Pipelines, Machine Learning, Applied Machine Learning, Feature Engineering, Data Transformation, Containerization

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Observability in Google Cloud - Español

      Skills you'll gain: Google Cloud Platform, Application Performance Management, Network Monitoring, Prometheus (Software), Cloud Management, Identity and Access Management, System Monitoring, Kubernetes, Performance Tuning, Query Languages

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Angular 11+ & Material UI: Build Responsive Web Apps

      Skills you'll gain: Angular, Front-End Web Development, UI Components, Responsive Web Design, User Interface (UI), Web Applications, JavaScript Frameworks, Web Design, Cascading Style Sheets (CSS), Usability, Scalability, Performance Tuning

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Encoder-Decoder Architecture - 繁體中文

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

      Advanced · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Mitigating Security Vulnerabilities on GC - Português

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Data Loss Prevention, Threat Management, Cloud Security, Threat Detection, Google Cloud Platform, Application Security, IT Security Architecture, Continuous Monitoring, Malware Protection, Security Controls, Data Security, Personally Identifiable Information, Vulnerability Scanning, Identity and Access Management, Security Management, Information Privacy

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      H

      H2O.ai

      H2O Generative AI Starter Track

      Skills you'll gain: Prompt Engineering, Generative AI, Document Management, Artificial Intelligence, Technical Communication, Artificial Intelligence and Machine Learning (AI/ML), Application Programming Interface (API), Configuration Management

      Intermediate · Course · 1 - 3 Months

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

    • Attention Mechanism - בעברית: Google Cloud
    • Getting Started with Application Development - Español: Google Cloud
    • Advanced Navigation and Data Handling: Packt
    • Create Image Captioning Models - Bahasa Indonesia: Google Cloud
    • Gemini in Google Docs - Português Brasileiro: Google Cloud
    • Applying Machine Learning to Your Data with GC - Français: Google Cloud
    • Machine Learning in the Enterprise - 日本語版: Google Cloud
    • Observability in Google Cloud - Español: Google Cloud
    • Angular 11+ & Material UI: Build Responsive Web Apps: Coursera Instructor Network
    • Encoder-Decoder Architecture - 繁體中文: 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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