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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

    • J

      Johns Hopkins University

      Introduction to Systematic Review and Meta-Analysis

      Skills you'll gain: Clinical Trials, Clinical Research, Qualitative Research, Data Synthesis, Scientific Methods, Research Methodologies, Data Collection, Biostatistics, Analysis, Quantitative Research, Risk Analysis, Statistical Methods, Epidemiology, Statistical Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.5K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Toronto

      Self-Driving Cars

      Skills you'll gain: Computer Vision, Image Analysis, Control Systems, Embedded Software, Automation, Deep Learning, Software Architecture, Computer Graphics, Simulations, Safety Assurance, Artificial Neural Networks, Global Positioning Systems, Visualization (Computer Graphics), Hardware Architecture, Estimation, Algorithms, Machine Learning Methods, Predictive Modeling, Scenario Testing, Spatial Data Analysis

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Advanced · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Cybersecurity Tools & Cyberattacks

      Skills you'll gain: Malware Protection, Identity and Access Management, Incident Response, Cybersecurity, Computer Security Incident Management, Network Security, Threat Management, Threat Detection, Cyber Attacks, Authentications, Distributed Denial-Of-Service (DDoS) Attacks, Security Awareness, Security Controls, Infrastructure Security, Authorization (Computing), Multi-Factor Authentication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      16K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      É

      École Polytechnique Fédérale de Lausanne

      Functional Programming in Scala

      Skills you'll gain: Scala Programming, Apache Spark, Apache Hadoop, User Interface (UI), Distributed Computing, Programming Principles, Big Data, Software Design, Data Structures, Software Design Patterns, Functional Design, Data Manipulation, Object Oriented Programming (OOP), Interactive Data Visualization, Computer Programming, Data Processing, Real Time Data, Visualization (Computer Graphics), Performance Tuning, Algorithms

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Intermediate · Specialization · 3 - 6 Months

    • U

      University of Arizona

      Astronomy: Exploring Time and Space

      Skills you'll gain: Physical Science, Physics, Engineering, Scientific, and Technical Instruments, Ancient History, Chemistry, General Science and Research, Scientific Methods, Scientific Visualization, Research, Simulations

      4.8
      Rating, 4.8 out of 5 stars
      ·
      3.9K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Software Design and Architecture

      Skills you'll gain: Software Architecture, Model View Controller, Unified Modeling Language, Object Oriented Design, Service Oriented Architecture, API Design, Systems Architecture, Web Services, Software Design Patterns, Software Design, Simple Object Access Protocol (SOAP), Microservices, Restful API, Software Design Documents, Software Visualization, Code Review, Solution Architecture, Software Systems, Object Oriented Programming (OOP), Java

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.9K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Microsoft

      Work Smarter with Microsoft Word

      Skills you'll gain: Microsoft Word, Microsoft 365, Productivity Software, Proofreading, Document Management, Technical Documentation, Microsoft Windows, Presentations, Writing, Editing, Data Entry, Data Visualization, Grammar

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      S

      SAP

      SAP Technology Consultant

      Skills you'll gain: Digital Transformation, Cloud Computing Architecture, Stakeholder Engagement, Consulting, Systems Design, Relationship Management, Business Consulting, Cloud Computing, Technical Design, Solution Design, User Feedback, Product Strategy, Technical Consulting, Customer Engagement, Cybersecurity, System Implementation, Professional Networking, Project Management, SAP Applications, Test Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.3K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Alberta

      Reinforcement Learning

      Skills you'll gain: Reinforcement Learning, Machine Learning, Sampling (Statistics), Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Simulations, Solution Architecture, Feature Engineering, Artificial Intelligence and Machine Learning (AI/ML), Markov Model, Supervised Learning, Algorithms, Performance Testing, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution, Debugging

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.5K reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      R

      Rice University

      Parallel Programming in Java

      Skills you'll gain: Java Programming, Java, Distributed Computing, Programming Principles, Application Frameworks, Algorithms, Performance Tuning, Functional Design, Scalability, Computer Science

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      M

      MathWorks

      Image Processing for Engineering and Science

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Automation, Anomaly Detection, Spatial Data Analysis, Medical Imaging, Spatial Analysis, Quantitative Research, Graphical Tools, Data Access, Data Import/Export, Data Store

      4.8
      Rating, 4.8 out of 5 stars
      ·
      210 reviews

      Beginner · Specialization · 1 - 3 Months

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

      IBM

      IBM Product Owner

      Skills you'll gain: Sprint Retrospectives, Backlogs, Agile Product Development, Agile Software Development, Stakeholder Communications, Agile Methodology, Kanban Principles, Product Roadmaps, Virtual Teams, Stakeholder Management, Information Technology, Agile Project Management, Computer Hardware, Product Strategy, Product Management, User Story, Cloud Computing, Communication, Cross-Functional Collaboration, Sprint Planning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.7K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    Scientific Computing learners also search

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    1…121314…332

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

    • Introduction to Systematic Review and Meta-Analysis: Johns Hopkins University
    • Self-Driving Cars: University of Toronto
    • Introduction to Cybersecurity Tools & Cyberattacks: IBM
    • Functional Programming in Scala: École Polytechnique Fédérale de Lausanne
    • Astronomy: Exploring Time and Space: University of Arizona
    • Software Design and Architecture: University of Alberta
    • Work Smarter with Microsoft Word: Microsoft
    • SAP Technology Consultant: SAP
    • Reinforcement Learning: University of Alberta
    • Parallel Programming in Java: Rice University

    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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