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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

    • U

      University of Illinois Urbana-Champaign

      Cloud Computing

      Skills you'll gain: Distributed Computing, Cloud Infrastructure, Cloud Services, Big Data, Apache Spark, Cloud Computing, Cloud Storage, Cloud Platforms, Network Architecture, Computer Networking, File Systems, Apache Hadoop, Network Infrastructure, Cloud Applications, Infrastructure As A Service (IaaS), General Networking, Software-Defined Networking, Containerization, NoSQL, Operating Systems

      4.3
      Rating, 4.3 out of 5 stars
      ·
      2.1K reviews

      Intermediate · Specialization · 3 - 6 Months

    • V

      Vanderbilt University

      MATLAB Programming for Engineers and Scientists

      Skills you'll gain: Data Visualization, Image Analysis, Data Visualization Software, Matlab, Algorithms, Machine Learning Methods, User Interface (UI), Applied Machine Learning, Object Oriented Programming (OOP), Statistical Methods, Data Analysis, Computer Programming, Programming Principles, Data Processing, Application Development, Data Structures, Scripting, Debugging, Mathematical Software, Data Manipulation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      18K reviews

      Beginner · Specialization · 3 - 6 Months

    • É

      École Polytechnique

      How to Write and Publish a Scientific Paper (Project-Centered Course)

      Skills you'll gain: Peer Review, Writing and Editing, Journals, Scientific Methods, Writing, Research Reports, Research, Science and Research, Research Design, Proofreading, Research Methodologies, Editing, Ethical Standards And Conduct

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.7K reviews

      Mixed · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Introduction to High-Performance and Parallel Computing

      Skills you'll gain: Bash (Scripting Language), Scalability, Performance Testing, Distributed Computing, Computer Systems, Big Data, Operating Systems, Performance Tuning, File Systems, Linux, Command-Line Interface, Programming Principles

      Build toward a degree

      3.6
      Rating, 3.6 out of 5 stars
      ·
      137 reviews

      Beginner · Course · 1 - 4 Weeks

    • S

      Stanford University

      Algorithms

      Skills you'll gain: Data Structures, Graph Theory, Algorithms, Bioinformatics, Theoretical Computer Science, Computational Thinking, Network Analysis, Network Routing, Mathematical Theory & Analysis, Analysis, Probability, Design Strategies, Computer Science

      4.8
      Rating, 4.8 out of 5 stars
      ·
      5.9K reviews

      Intermediate · Specialization · 3 - 6 Months

    • D

      DeepLearning.AI

      AI For Everyone

      Skills you'll gain: Data Ethics, Market Opportunities, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Team Building, Machine Learning, Strategic Thinking, Generative AI, Data Science, Deep Learning, Business Ethics, Artificial Neural Networks, Business Transformation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      47K reviews

      Beginner · Course · 1 - 4 Weeks

    What brings you to Coursera today?

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Algorithms, Theory, and Machines

      Skills you'll gain: Theoretical Computer Science, Data Structures, Computer Science, Computer Architecture, Computer Systems, Algorithms, Programming Principles, Computational Logic, Computer Hardware, Java

      4.7
      Rating, 4.7 out of 5 stars
      ·
      696 reviews

      Intermediate · Course · 1 - 3 Months

    • A

      Amazon Web Services

      AWS Cloud Technology Consultant

      Skills you'll gain: AWS Identity and Access Management (IAM), Infrastructure as Code (IaC), Amazon CloudWatch, AWS CloudFormation, Software Development Life Cycle, CI/CD, Amazon Web Services, Professional Networking, IT Automation, Cloud Computing, Amazon S3, Extract, Transform, Load, DevOps, Data-Driven Decision-Making, Software Architecture, Cloud Computing Architecture, Amazon DynamoDB, Cloud Infrastructure, Web Applications, Leadership Development

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      6.5K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • I

      IBM

      Information Technology (IT) and Cloud Fundamentals

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Peripheral Devices, Cybersecurity, Computing Platforms, Cloud Security, Cloud Infrastructure, Cloud Platforms, System Support, Network Protocols, Encryption, Cyber Attacks, Desktop Support, Software Development Life Cycle, Cloud Storage, Application Development, General Networking, Information Technology, Cloud Computing, Databases

      4.6
      Rating, 4.6 out of 5 stars
      ·
      10K reviews

      Beginner · Specialization · 3 - 6 Months

    • P

      Packt

      The Complete Quantum Computing Course for Beginners

      Skills you'll gain: Object Oriented Programming (OOP), Python Programming, Data Structures, Data Manipulation, Computer Programming, Applied Mathematics, Algorithms, Linear Algebra, Probability, Mathematical Modeling, IBM Cloud, Computer Science, Algebra, Software Installation, Statistics, Development Environment, Advanced Mathematics, Computational Thinking, Physics, Emerging Technologies

      4.1
      Rating, 4.1 out of 5 stars
      ·
      26 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Cloud Computing

      Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Security, Cloud Infrastructure, Cloud Platforms, Cloud Computing, Cloud Storage, Infrastructure As A Service (IaaS), Emerging Technologies, Hybrid Cloud Computing, IBM Cloud, Serverless Computing, Virtualization, Microservices, Containerization, DevOps

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.2K reviews

      Beginner · Course · 1 - 3 Months

    • G

      Google Cloud

      Google Cloud Fundamentals: Core Infrastructure

      Skills you'll gain: Google Cloud Platform, Cloud Infrastructure, Kubernetes, Containerization, Cloud Storage, Cloud Applications, Cloud Services, Identity and Access Management, Application Deployment, Virtual Machines, Cloud Computing, Generative AI, Data Storage Technologies, Network Infrastructure, Cloud Security, Serverless Computing

      4.7
      Rating, 4.7 out of 5 stars
      ·
      49K reviews

      Beginner · Course · 1 - 3 Months

    1234…342

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

    • Cloud Computing: University of Illinois Urbana-Champaign
    • MATLAB Programming for Engineers and Scientists: Vanderbilt University
    • How to Write and Publish a Scientific Paper (Project-Centered Course): École Polytechnique
    • Introduction to High-Performance and Parallel Computing: University of Colorado Boulder
    • Algorithms: Stanford University
    • AI For Everyone: DeepLearning.AI
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • AWS Cloud Technology Consultant: Amazon Web Services
    • Information Technology (IT) and Cloud Fundamentals: IBM
    • The Complete Quantum Computing Course for Beginners: 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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