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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 end-to-end SDLC - 日本語版

      Skills you'll gain: Google Cloud Platform, Test Case, Software Development Life Cycle, CI/CD, Web Applications, Application Lifecycle Management, Application Development, Generative AI, Query Languages, Automation, Debugging

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Introduction to Data Engineering on Google Cloud - Português Brasileiro

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

      Beginner · 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

    • G

      Google Cloud

      Responsible AI: Applying AI Principles with GC - 日本語版

      Skills you'll gain: Data Ethics, Business Ethics, Google Cloud Platform, Ethical Standards And Conduct, Regulatory Compliance, Governance, Compliance Management, Accountability, Artificial Intelligence and Machine Learning (AI/ML), Information Privacy, Diversity and Inclusion

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Managing Google Workspace - Français

      Skills you'll gain: Google Workspace, Gmail, Cloud Management, Document Management, Data Management, Mobile Security, System Configuration, Identity and Access Management, Enterprise Application Management, Cloud Storage, Data Import/Export

      Beginner · 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

      Introducción a la seguridad en el mundo de la IA

      Skills you'll gain: Data Security, Security Strategy, Personally Identifiable Information, Enterprise Security, Infrastructure Security, Security Controls, Data Ethics, Cybersecurity, Threat Modeling, Cyber Risk, Artificial Intelligence, Risk Modeling, Machine Learning

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Work with Gemini Models in BigQuery - Bahasa Indonesia

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

      Intermediate · Course · 1 - 4 Weeks

    • 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

    • G

      Google Cloud

      App Deployment, Debugging, and Performance - Português

      Skills you'll gain: Infrastructure as Code (IaC), Cloud-Native Computing, Cloud Applications, Cloud Development, Application Deployment, Google Cloud Platform, Docker (Software), Application Performance Management, Kubernetes, Containerization, Computing Platforms, Debugging, Scalability

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Planning for a Google Workspace Deployment - Português

      Skills you'll gain: Change Management, Google Workspace, Data Migration, Application Deployment, User Provisioning, Technical Management, Email Security, Project Design, Administration, Cloud Computing, End User Training and Support

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      Status: Free Trial
      Free Trial
      P

      Packt

      Database Management and Core Application Development

      Skills you'll gain: ASP.NET, Database Development, C# (Programming Language), Back-End Web Development, Database Management, Database Design, Object-Relational Mapping, Application Frameworks, Model View Controller, Web Applications, Software Design Patterns, Authentications, Maintainability, Business Logic, Authorization (Computing), Data Modeling, Performance Tuning, Data Migration, Data Mapping, Data Validation

      Intermediate · Course · 1 - 3 Months

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

    • Gemini for end-to-end SDLC - 日本語版: Google Cloud
    • Introduction to Data Engineering on Google Cloud - Português Brasileiro: Google Cloud
    • Azure Data Engineering: Cosmos DB, SQL & Analytics: Coursera Instructor Network
    • Responsible AI: Applying AI Principles with GC - 日本語版: Google Cloud
    • Managing Google Workspace - Français: Google Cloud
    • Blender Lighting & Compositing for Beginners : Packt
    • Introducción a la seguridad en el mundo de la IA: Google Cloud
    • Work with Gemini Models in BigQuery - Bahasa Indonesia: Google Cloud
    • Como criar agentes de IA generativa com a Vertex AI e o Flutter: Google Cloud
    • App Deployment, Debugging, and Performance - Português: 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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