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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 Data Scientists and Analysts - 日本語版

      Skills you'll gain: Marketing Analytics, Generative AI, Customer Analysis, Customer Insights, Big Data, Marketing Strategies, Forecasting, Predictive Analytics, Data Analysis, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Responsible AI for Developers: Privacy & Safety - 繁體中文

      Skills you'll gain: Data Ethics, Information Privacy, Cloud Security, Personally Identifiable Information, Google Cloud Platform, Data Security, Safety and Security, Artificial Intelligence, Generative AI, Machine Learning Methods

      Intermediate · Course · 1 - 3 Months

    • 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

    • 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

    • Status: New
      New
      C

      Coursera Instructor Network

      Azure Data Engineering: Cosmos DB, SQL & Analytics

      Skills you'll gain: Dashboard, Azure Synapse Analytics, Microsoft Azure, Transact-SQL, Data Storage, Data Architecture, Performance Tuning, Query Languages, SQL, NoSQL, Cloud-Native Computing, Data Processing, Business Intelligence, Analytics, Cloud Computing Architecture, Data Integration, Data Modeling, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Network Security - Español

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Network Security, Network Troubleshooting, Proxy Servers, Network Monitoring, Network Administration, Cloud Security, Intrusion Detection and Prevention, Firewall, Google Cloud Platform, Threat Detection, Hardening, Identity and Access Management

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Preparing for Professional Cloud Network Engineer 日本語版

      Skills you'll gain: Network Troubleshooting, Google Cloud Platform, Cloud Engineering, Network Planning And Design, Hybrid Cloud Computing, Network Monitoring, Network Architecture, Cloud Infrastructure, Virtual Private Networks (VPN), Cloud Security, Kubernetes, Load Balancing, Firewall, Network Security, Virtual Machines

      Advanced · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Network Security - Português Brasileiro

      Skills you'll gain: Distributed Denial-Of-Service (DDoS) Attacks, Network Security, Proxy Servers, Firewall, Identity and Access Management, Network Monitoring, Cloud Security, Google Cloud Platform, Intrusion Detection and Prevention, Threat Detection, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - 繁體中文

      Skills you'll gain: Data Migration, Google Cloud Platform, Data Pipelines, Cloud Storage, Data Lakes, Big Data, Extract, Transform, Load, Data Processing, SQL, Apache Airflow, Data Warehousing, Data Integration, Data Storage, Data Transformation, Automation

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Geliştiriciler İçin Sorumlu Yapay Zeka: Gizlilik ve Güvenlik

      Skills you'll gain: Cloud Security, Google Cloud Platform, Generative AI, Information Privacy, Application Security, Data Security, Personally Identifiable Information, Information Systems Security, Artificial Intelligence, Safety and Security

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Blender Lighting & Compositing for Beginners

      Skills you'll gain: 3D Modeling, Computer Graphics, Visualization (Computer Graphics), Computer Graphic Techniques, Virtual Environment

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Como criar agentes de IA generativa com a Vertex AI e o Flutter

      Skills you'll gain: Flutter (Software), Generative AI, Generative AI Agents, Google Cloud Platform, Mobile Development, Mobile Development Tools, Artificial Intelligence and Machine Learning (AI/ML)

      Beginner · Course · 1 - 3 Months

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    1…317318319…333

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

    • Gemini for Data Scientists and Analysts - 日本語版: Google Cloud
    • Responsible AI for Developers: Privacy & Safety - 繁體中文: Google Cloud
    • Work with Gemini Models in BigQuery - Français: Google Cloud
    • Change Management for Google Workspace - Español: Google Cloud
    • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera Instructor Network
    • Networking in Google Cloud: Network Security - Español: Google Cloud
    • Preparing for Professional Cloud Network Engineer 日本語版: Google Cloud
    • Networking in Google Cloud: Network Security - Português Brasileiro: Google Cloud
    • Introduction to Data Engineering on Google Cloud - 繁體中文: Google Cloud
    • Geliştiriciler İçin Sorumlu Yapay Zeka: Gizlilik ve Güvenlik: 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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