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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

      Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Processing, Data Cleansing, Data Transformation, Scalability, Feature Engineering, Data Pipelines, MLOps (Machine Learning Operations), Deep Learning, Artificial Neural Networks, Machine Learning, Application Programming Interface (API)

      Intermediate · Course · 1 - 3 Months

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

      Packt

      Scaling, Access Control, and Exam preparation with Vault

      Skills you'll gain: Identity and Access Management, Scalability, Authorization (Computing), Performance Tuning, Authentications, Role-Based Access Control (RBAC), Security Controls, Configuration Management, Disaster Recovery

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Découvrir Cloud Spanner

      Skills you'll gain: Google Cloud Platform, NoSQL, Cloud Applications, Database Administration, Relational Databases, Database Management, Database Architecture and Administration, Database Design, Query Languages, Serverless Computing, Data Migration, Transaction Processing

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      R Programming Essentials with Microsoft Tools

      Skills you'll gain: Version Control, GitHub, Git (Version Control System), Data Manipulation, Software Documentation, R Programming, Microsoft Copilot, Microsoft Visual Studio, Program Development, Data Import/Export, Statistical Analysis, Development Environment, Integrated Development Environments, Descriptive Statistics, Statistical Programming, Data Cleansing, Data Analysis, Programming Principles, Debugging, Data Structures

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      G

      Google Cloud

      Networking in Google Cloud: Load Balancing - 日本語版

      Skills you'll gain: Load Balancing, Hybrid Cloud Computing, Google Cloud Platform, Network Performance Management, Cloud Security, Network Routing, Performance Tuning, Distributed Denial-Of-Service (DDoS) Attacks

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Gemini for Cloud Architects - 日本語版

      Skills you'll gain: Google Cloud Platform, Kubernetes, Prompt Engineering, Cloud Infrastructure, Infrastructure as Code (IaC), Application Deployment, Generative AI, Cloud Computing Architecture, Shell Script

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Data Manipulation and Cleaning in R

      Skills you'll gain: Data Manipulation, Data Cleansing, Data Wrangling, Data Quality, Tidyverse (R Package), Data Transformation, R Programming, Text Mining, Generative AI, Data Integrity, Data Pipelines

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      C

      Coursera Instructor Network

      Azure CloudOps: Automating Infrastructure & Cost Control

      Skills you'll gain: Cloud Management, Azure DevOps, Infrastructure as Code (IaC), Cloud Computing, CI/CD, Microsoft Azure, Continuous Deployment, DevOps, Cloud Infrastructure, Continuous Integration, Virtual Machines, Automation, Role-Based Access Control (RBAC), Git (Version Control System)

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      使用 BigQuery 机器学习推理功能

      Skills you'll gain: Big Data, Data Analysis, Applied Machine Learning, Google Cloud Platform, Machine Learning, SQL

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      Google Workspace ユーザーおよびリソース管理

      Skills you'll gain: User Provisioning, Google Workspace, User Accounts, Cloud Management, Identity and Access Management, Capacity Management, System Configuration, Security Management

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      在 Google Cloud 運用生成式 AI 翻新網站

      Skills you'll gain: Generative AI, Web Content, Google Cloud Platform, Prompt Engineering, Web Analytics and SEO, Image Analysis, Content Management, Large Language Modeling, User Experience Design, Innovation

      Beginner · Course · 1 - 4 Weeks

    • Status: New
      New
      G

      Google Cloud

      運用 BigQuery 建立嵌入項目、向量搜尋和 RAG

      Skills you'll gain: Generative AI, Big Data, Applied Machine Learning, Query Languages, Natural Language Processing

      Advanced · Course · 1 - 4 Weeks

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

    • Build, Train and Deploy ML Models with Keras on Google Cloud - Italiano: Google Cloud
    • Scaling, Access Control, and Exam preparation with Vault: Packt
    • Découvrir Cloud Spanner: Google Cloud
    • R Programming Essentials with Microsoft Tools: Microsoft
    • Networking in Google Cloud: Load Balancing - 日本語版: Google Cloud
    • Gemini for Cloud Architects - 日本語版: Google Cloud
    • Data Manipulation and Cleaning in R: Microsoft
    • Azure CloudOps: Automating Infrastructure & Cost Control: Coursera Instructor Network
    • 使用 BigQuery 机器学习推理功能: Google Cloud
    • Google Workspace ユーザーおよびリソース管理: 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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