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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 in Gmail - Français

      Skills you'll gain: Gmail, Google Workspace, Prompt Engineering, Generative AI

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for DevOps Engineers - Français

      Skills you'll gain: Kubernetes, DevOps, Development Environment, Google Cloud Platform, CI/CD, Generative AI, Infrastructure Architecture, Application Performance Management

      Beginner · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Smart Analytics, Machine Learning, and AI on GCP - Italiano

      Skills you'll gain: Google Cloud Platform, Unstructured Data, MLOps (Machine Learning Operations), Big Data, Data Pipelines, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Jupyter, Machine Learning, Predictive Modeling, Artificial Intelligence

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Observability in Google Cloud - Français

      Skills you'll gain: Google Cloud Platform, Cloud Management, Kubernetes, Identity and Access Management, Network Monitoring, System Monitoring, Application Performance Management, Virtual Machines, Query Languages

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Deep Learning, Data Processing, Scalability, Data Transformation, Application Deployment, Artificial Neural Networks, Data Pipelines, Machine Learning, Performance Tuning

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      W

      Whizlabs

      AWS: Databases and Migration

      Skills you'll gain: Amazon DynamoDB, Amazon Redshift, Database Management, Operational Databases, Transaction Processing, Data Migration, NoSQL, Redis, Relational Databases, Data Warehousing, Scalability

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Production Machine Learning Systems - Português Brasileiro

      Skills you'll gain: Google Cloud Platform, MLOps (Machine Learning Operations), Tensorflow, Applied Machine Learning, Performance Tuning, Systems Architecture, Software Architecture, Data Validation, Machine Learning, Distributed Computing, Scalability, Hybrid Cloud Computing, Debugging, Data Processing, Data Pipelines

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      Securing and Integrating Components of Your App - Português

      Skills you'll gain: Cloud Applications, Cloud Development, Google Cloud Platform, Application Development, Cloud API, API Gateway, Application Programming Interface (API), Serverless Computing, Authentications, Security Assertion Markup Language (SAML), Identity and Access Management, Event-Driven Programming, Node.JS, Microservices, Restful API, Authorization (Computing)

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Gemini for Security Engineers - Deutsch

      Skills you'll gain: Google Cloud Platform, Application Deployment, Generative AI, Cloud Security, Cloud Computing, Security Controls, Security Engineering, System Configuration

      Beginner · Course · 1 - 4 Weeks

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

      Packt

      Advanced Development, Deployment, and Cloud Integration

      Skills you'll gain: ASP.NET, Application Deployment, Microsoft Azure, Cloud Applications, Software Architecture, Scalability, Authentications, User Interface (UI), .NET Framework, Software Design, Maintainability, UI/UX Strategy, Model View Controller, Secure Coding, Application Servers, Microsoft SQL Servers, Database Development, Debugging, Data Validation

      Advanced · Course · 1 - 3 Months

    • G

      Google Cloud

      MLOps with Vertex AI: Manage Features - Français

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

      Intermediate · Course · 1 - 4 Weeks

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

      Packt

      Scene Detailing, Prop Creation, and Rendering

      Skills you'll gain: 3D Modeling, Virtual Environment, Computer Graphic Techniques, Visualization (Computer Graphics), Graphical Tools, Design Elements And Principles, Functional Design, Creative Design, Design

      Intermediate · Course · 3 - 6 Months

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

    • Gemini in Gmail - Français: Google Cloud
    • Gemini for DevOps Engineers - Français: Google Cloud
    • Smart Analytics, Machine Learning, and AI on GCP - Italiano: Google Cloud
    • Observability in Google Cloud - Français: Google Cloud
    • Build, Train and Deploy ML Models with Keras on Google Cloud - 日本語版: Google Cloud
    • AWS: Databases and Migration: Whizlabs
    • Production Machine Learning Systems - Português Brasileiro : Google Cloud
    • Securing and Integrating Components of Your App - Português: Google Cloud
    • Gemini for Security Engineers - Deutsch: Google Cloud
    • Advanced Development, Deployment, and Cloud Integration: Packt

    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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