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    • Computational Science

    Computational Science Courses Online

    Understand computational science for solving complex scientific problems. Learn to use computational tools and simulations in various scientific disciplines.

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    Explore the Computational Science Course Catalog

    • Status: Free
      Free
      C

      Coursera Project Network

      Computational Fluid Mechanics - Airflow Around a Spoiler

      Skills you'll gain: Simulation and Simulation Software, Engineering Analysis, Engineering, Prototyping, Computer-Aided Design, Cloud Computing

      4.5
      Rating, 4.5 out of 5 stars
      ·
      343 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • E

      Eindhoven University of Technology

      Process Mining: Data science in Action

      Skills you'll gain: Process Analysis, Process Improvement, Business Process Management, Data Mining, Business Process Modeling, Process Optimization, Data Processing, Performance Analysis, Big Data, Real Time Data, Data Science, Verification And Validation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.2K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Analytics

      Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Warehousing, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, Relational Databases

      4.8
      Rating, 4.8 out of 5 stars
      ·
      19K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Web Design for Everybody: Basics of Web Development & Coding

      Skills you'll gain: Wireframing, Responsive Web Design, HTML and CSS, Web Content Accessibility Guidelines, Cascading Style Sheets (CSS), Web Design, Hypertext Markup Language (HTML), Browser Compatibility, Bootstrap (Front-End Framework), Javascript, Front-End Web Development, User Interface (UI), Web Development Tools, Verification And Validation, Interactive Design, Application Frameworks, Code Review, Web Design and Development, Event-Driven Programming, Usability

      4.7
      Rating, 4.7 out of 5 stars
      ·
      35K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      COVID-19 Contact Tracing

      Skills you'll gain: Interviewing Skills, Rapport Building, Interpersonal Communications, Epidemiology, Healthcare Ethics, Infectious Diseases, Investigation, Public Health, Health Technology, Community Health, Medical Privacy

      4.9
      Rating, 4.9 out of 5 stars
      ·
      95K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Virginia

      Digital Product Management

      Skills you'll gain: Usability Testing, Agile Product Development, New Product Development, Continuous Delivery, Agile Software Development, User Story, Product Management, Agile Methodology, Product Testing, Agile Project Management, Team Performance Management, Team Management, Design Thinking, Team Building, Team Leadership, Product Improvement, Customer Analysis, Innovation, Analytics, Business Analytics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      9.6K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      M

      Meta

      Meta iOS Developer

      Skills you'll gain: React Native, iOS Development, Core Data (Software), Restful API, Version Control, Apple iOS, UI/UX Research, Usability Testing, Apple Xcode, Data Structures, Swift Programming, Jest (JavaScript Testing Framework), User Interface (UI), Unix Commands, Git (Version Control System), Persona (User Experience), GitHub, Interaction Design, User Experience Design, Mobile Development

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      8.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Advanced Learning Algorithms

      Skills you'll gain: Classification And Regression Tree (CART), Machine Learning Algorithms, Machine Learning, Applied Machine Learning, Data Ethics, Decision Tree Learning, Tensorflow, Artificial Intelligence, Supervised Learning, Deep Learning, Random Forest Algorithm, Artificial Neural Networks, Performance Tuning

      4.9
      Rating, 4.9 out of 5 stars
      ·
      7.9K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      G

      Google

      Analyze Data to Answer Questions

      Skills you'll gain: Data Validation, Spreadsheet Software, Data Analysis, Analytics, Data Manipulation, Excel Formulas, Data Compilation, Pivot Tables And Charts, SQL, Data Integration, Data Transformation, User Feedback

      4.6
      Rating, 4.6 out of 5 stars
      ·
      12K reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      P

      Peking University

      程序设计与算法

      Skills you'll gain: Data Structures, Algorithms, C++ (Programming Language), Object Oriented Programming (OOP), C (Programming Language), Graph Theory, Programming Principles, Computer Programming, Pseudocode, Computer Architecture, Computer Science, Computational Thinking, Theoretical Computer Science, Software Design, Program Development, Information Architecture, Systems Design, Computer Hardware, Mathematical Modeling, Data Storage Technologies

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

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      G

      Google

      Google Data Analytics Capstone: Complete a Case Study

      Skills you'll gain: Interviewing Skills, Data Analysis, Data Processing, Analytical Skills, Artificial Intelligence, Recruitment, Data-Driven Decision-Making, Data Storytelling, Project Documentation, Presentations, Portfolio Management

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

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Sequence Models

      Skills you'll gain: Natural Language Processing, Artificial Neural Networks, Tensorflow, Large Language Modeling, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Deep Learning, Applied Machine Learning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      31K reviews

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 10 of our most popular computational science courses

    • Computational Fluid Mechanics - Airflow Around a Spoiler: Coursera Project Network
    • Process Mining: Data science in Action: Eindhoven University of Technology
    • Introduction to Data Analytics: IBM
    • Web Design for Everybody: Basics of Web Development & Coding: University of Michigan
    • COVID-19 Contact Tracing: Johns Hopkins University
    • Digital Product Management: University of Virginia
    • Meta iOS Developer: Meta
    • Advanced Learning Algorithms: DeepLearning.AI
    • Analyze Data to Answer Questions: Google
    • 程序设计与算法: Peking University

    Frequently Asked Questions about Computational Science

    Computational science is an interdisciplinary field that utilizes computer modeling, simulation, and data analysis to solve complex problems across various scientific disciplines. It involves the application of computational techniques, algorithms, and mathematical models to study natural phenomena, analyze large datasets, and simulate complex systems. Computational science plays a crucial role in advancing scientific research, improving predictions, and facilitating scientific discovery across disciplines such as physics, chemistry, biology, engineering, and more.‎

    To excel in computational science, you need to develop the following skills:

    • Programming: Proficiency in programming languages such as Python, C++, or MATLAB to implement algorithms, perform data analysis, and develop computational models.
    • Mathematical Modeling: Understanding of mathematical concepts and techniques used in computational science, such as calculus, linear algebra, differential equations, and numerical methods.
    • Scientific Computing: Knowledge of computational techniques, including numerical integration, optimization, finite element methods, and numerical simulation.
    • Data Analysis: Skills in analyzing and interpreting complex datasets using statistical methods, data visualization, and machine learning techniques.
    • High-Performance Computing: Familiarity with parallel computing, distributed computing, and utilizing computational resources efficiently for large-scale simulations.
    • Computational Modeling: Ability to develop and implement computational models to simulate and study complex systems, phenomena, or processes.
    • Problem-Solving: Aptitude for formulating scientific problems in computational terms, designing algorithms, and solving them using computational tools.
    • Data Management: Proficiency in handling and processing large datasets, data storage, and data organization for efficient analysis and retrieval.
    • Scientific Visualization: Ability to effectively present and visualize scientific data, simulation results, and complex models for analysis and communication.
    • Collaboration and Interdisciplinary Skills: Capacity to work in multidisciplinary teams, communicate with domain experts, and integrate computational methods into scientific research.‎

    With computational science skills, you can pursue various job opportunities, including:

    • Computational Scientist
    • Research Scientist
    • Data Scientist
    • Simulation Engineer
    • Software Developer (specializing in scientific applications)
    • Computational Physicist
    • Computational Chemist
    • Bioinformatics Specialist
    • Computational Biologist
    • Research Analyst

    These roles involve utilizing computational techniques, developing and implementing models and simulations, analyzing scientific data, and contributing to scientific research in academia, government labs, research institutions, or industries.‎

    Computational science is well-suited for individuals who possess the following qualities:

    • Analytical and Mathematical Aptitude: Ability to analyze complex scientific problems, apply mathematical techniques, and derive meaningful insights using computational methods.
    • Programming Proficiency: Experience or willingness to learn programming languages and tools used in scientific computing, simulation, and data analysis.
    • Curiosity and Critical Thinking: A passion for scientific exploration, asking research questions, and devising innovative approaches to solving complex problems.
    • Interdisciplinary Interest: Eagerness to work across scientific disciplines, collaborate with domain experts, and apply computational methods to various scientific domains.
    • Problem-Solving Orientation: Aptitude for formulating and solving scientific problems, designing algorithms, and interpreting computational results in a scientific context.
    • Detail-Oriented: Meticulousness in handling and analyzing scientific data, ensuring accuracy in computational models, and interpreting simulation results.
    • Communication Skills: Ability to effectively communicate scientific concepts, present research findings, and collaborate with researchers from diverse backgrounds.
    • Continuous Learners: Willingness to stay updated with the latest research in computational science, emerging computational methodologies, and scientific domains.‎

    Several topics are related to computational science that you can study to enhance your skills and knowledge, including:

    • Numerical Methods and Algorithms
    • Mathematical Modeling and Simulation
    • Parallel and Distributed Computing
    • Scientific Data Analysis and Visualization
    • High-Performance Computing
    • Computational Physics
    • Computational Chemistry
    • Computational Biology
    • Computational Engineering
    • Machine Learning for Scientific Applications

    Exploring these topics through online courses, academic programs, research papers, and practical projects will provide a comprehensive understanding of the concepts and techniques used in computational science, enabling you to apply them effectively in scientific research and problem-solving.‎

    Online Computational Science courses offer a convenient and flexible way to enhance your knowledge or learn new Computational Science skills. Choose from a wide range of Computational Science courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Computational Science, 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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