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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

      Boost Productivity with Gemini in BigQuery - Deutsch

      Skills you'll gain: Big Data, Exploratory Data Analysis, Data Analysis, Analytics, Applied Machine Learning, Google Cloud Platform, Data Cleansing, Data Processing, Data Transformation, Generative AI, Prompt Engineering, SQL, Data Visualization Software

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Comienza a usar Security Command Center Enterprise

      Skills you'll gain: Threat Detection, Vulnerability Management, Threat Management, Cloud Security, Vulnerability Assessments, Computer Security Incident Management, Security Management, Multi-Cloud, Security Information and Event Management (SIEM), Risk Management Framework, Incident Management

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Google Cloud Customer Care Fundamentals - Français

      Skills you'll gain: Product Support, Google Cloud Platform, Technical Support, Service Level, Technical Support and Services, Identity and Access Management, Technical Communication, Change Requests, Issue Tracking, Personally Identifiable Information

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Français

      Skills you'll gain: SQL, Generative AI, Applied Machine Learning, Google Cloud Platform, Big Data, Customer Relationship Management, Jupyter, Workflow Management, Artificial Intelligence and Machine Learning (AI/ML), Python Programming

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Vertex AI Studio'ya Giriş

      Skills you'll gain: Prompt Engineering, Generative AI, Large Language Modeling, Prototyping, Google Cloud Platform, Performance Tuning

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Change Management for Google Workspace - Español

      Skills you'll gain: Change Management, Stakeholder Engagement, Organizational Change, Google Workspace, Training and Development, Organizational Effectiveness, Customer Success Management, Strategic Communication, Communication Strategies, Needs Assessment

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Gemini for Google Workspace - 繁體中文

      Skills you'll gain: Google Workspace, Productivity Software, Generative AI, Gmail, Google Docs, Operational Efficiency, Prompt Engineering, Data Ethics

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Vector Search and Embeddings - Português Brasileiro

      Skills you'll gain: Large Language Modeling, API Gateway, Natural Language Processing, Google Cloud Platform, Unstructured Data, Machine Learning Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Fairness & Bias - Português

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

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - 한국어

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

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Change Management for Google Workspace Português Brasileiro

      Skills you'll gain: Change Management, Organizational Change, Stakeholder Engagement, Google Workspace, Process Development, Customer Success Management, Customer Communications Management, Organizational Strategy, Training and Development, Communication Strategies, Employee Engagement, Needs Assessment

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      HashiCorp Certified - Consul Associate Course

      Skills you'll gain: Data Centers, Infrastructure as Code (IaC), Security Controls, System Configuration, Microservices, Proxy Servers, Service Oriented Architecture, Data Store, Systems Architecture, Encryption, Scalability

      Intermediate · Course · 1 - 3 Months

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

    • Boost Productivity with Gemini in BigQuery - Deutsch: Google Cloud
    • Comienza a usar Security Command Center Enterprise: Google Cloud
    • Google Cloud Customer Care Fundamentals - Français: Google Cloud
    • Work with Gemini Models in BigQuery - Français: Google Cloud
    • Vertex AI Studio'ya Giriş: Google Cloud
    • Change Management for Google Workspace - Español: Google Cloud
    • Introduction to Gemini for Google Workspace - 繁體中文: Google Cloud
    • Vector Search and Embeddings - Português Brasileiro: Google Cloud
    • Responsible AI for Developers: Fairness & Bias - Português: Google Cloud
    • MLOps with Vertex AI: Manage Features - 한국어: 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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