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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

    • Status: Free
      Free
      P

      Princeton University

      Computer Architecture

      Skills you'll gain: Microarchitecture, Computer Architecture, Hardware Architecture, Computer Systems, Computer Engineering, Distributed Computing, Operating Systems, Performance Tuning, Scalability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.6K reviews

      Advanced · Course · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google Cloud

      Machine Learning on Google Cloud

      Skills you'll gain: Feature Engineering, Prompt Engineering, Google Cloud Platform, Generative AI, Tensorflow, Keras (Neural Network Library), MLOps (Machine Learning Operations), Cloud Infrastructure, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Dataflow, Cloud Platforms, Data Management, Data Governance, Workflow Management, Application Deployment, Deep Learning, Applied Machine Learning, Machine Learning, Predictive Modeling

      4.4
      Rating, 4.4 out of 5 stars
      ·
      3.7K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Pennsylvania

      Positive Psychology: Martin E. P. Seligman’s Visionary Science

      Skills you'll gain: Optimism, Personal Development, Resilience, Positive Behavior Support, Psychology, Working With Children, Education and Training, Research, Human Development, Creativity

      4.9
      Rating, 4.9 out of 5 stars
      ·
      6.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Siemens

      Applied Computational Fluid Dynamics

      Skills you'll gain: Engineering Analysis, Thermal Management, Hydraulics, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Engineering, Chemical Engineering, Civil Engineering, Physics, Test Case

      4.7
      Rating, 4.7 out of 5 stars
      ·
      161 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Geneva

      Simulation and modeling of natural processes

      Skills you'll gain: Simulations, Python Programming, Differential Equations, Numerical Analysis, Mathematical Modeling, Probability, Artificial Intelligence and Machine Learning (AI/ML), Computational Thinking, Visualization (Computer Graphics), Mechanics, Algorithms

      4.3
      Rating, 4.3 out of 5 stars
      ·
      398 reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      PwC

      Data-driven Decision Making

      Skills you'll gain: Analytics, Business Analytics, Data Analysis, Data-Driven Decision-Making, Business Intelligence, Data Literacy, Big Data, Data Storytelling, Statistical Analysis, Microsoft Excel, Data Visualization Software, R Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      6.1K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Everyday Excel

      Skills you'll gain: Data Import/Export, Microsoft Excel, Regression Analysis, Data Validation, Data Visualization, Depreciation, Data Management, Excel Macros, Excel Formulas, Statistical Modeling, Financial Analysis, Cash Flows, Predictive Modeling, Financial Modeling, Analysis, Microsoft Word, Business Mathematics, Mathematical Modeling, Complex Problem Solving, Financial Forecasting

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      I

      Illinois Tech

      Cloud Computing: Infrastructure and Platforms

      Skills you'll gain: Virtualization, Cloud-Native Computing, Network Security, Cloud Computing, Amazon Web Services, Infrastructure as Code (IaC), Cloud Computing Architecture, Virtual Machines, Network Troubleshooting, Cloud Storage, Hyper-V, Software-Defined Networking, Cloud Infrastructure, VMware ESX Servers, Network Monitoring, Threat Modeling, TCP/IP, Network Architecture, Data Centers, Data Storage

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Fundamentals of Computing

      Skills you'll gain: Computational Thinking, Event-Driven Programming, Algorithms, Combinatorics, Graph Theory, Programming Principles, Application Development, Object Oriented Programming (OOP), Data Structures, Probability, Computer Programming, Bioinformatics, Interactive Design, Program Development, Big Data, Python Programming, Mathematical Software, Data Analysis, Theoretical Computer Science, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.1K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Alberta

      Problem Solving, Python Programming, and Video Games

      Skills you'll gain: Computational Thinking, Video Game Development, Game Design, Programming Principles, Animation and Game Design, Software Quality (SQA/SQC), Computer Programming, Program Development, Software Engineering, Python Programming, Algorithms, Pseudocode, Application Development, Debugging, Problem Management, Functional Testing, Test Planning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      233 reviews

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Intro to AWS - Your First Steps in Cloud Computing

      Skills you'll gain: AWS Identity and Access Management (IAM), Amazon S3, Amazon Web Services, Amazon Elastic Compute Cloud, Databases, Cloud Infrastructure, Cloud Computing, Amazon DynamoDB, CI/CD, Infrastructure as Code (IaC), Public Cloud, Containerization, Cloud Storage, Serverless Computing, Scalability

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      Status: AI skills
      AI skills
      M

      Microsoft

      Microsoft Cloud Support Associate

      Skills you'll gain: Microsoft 365, Network Security, Cloud Management, Microsoft Azure, Business Software, Computer Hardware, Virtual Machines, Identity and Access Management, Cybersecurity, Network Troubleshooting, Desktop Support, Virtual Private Networks (VPN), Azure Active Directory, Technical Support, Hardware Troubleshooting, Hardware Architecture, Generative AI, System Monitoring, Virtualization and Virtual Machines, Disaster Recovery

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Scientific Computing learners also search

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    1…141516…332

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

    • Computer Architecture: Princeton University
    • Machine Learning on Google Cloud: Google Cloud
    • Positive Psychology: Martin E. P. Seligman’s Visionary Science: University of Pennsylvania
    • Applied Computational Fluid Dynamics: Siemens
    • Simulation and modeling of natural processes: University of Geneva
    • Data-driven Decision Making: PwC
    • Everyday Excel: University of Colorado Boulder
    • Cloud Computing: Infrastructure and Platforms: Illinois Tech
    • Fundamentals of Computing: Rice University
    • Problem Solving, Python Programming, and Video Games: University of Alberta

    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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