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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: New
      New
      Status: Free Trial
      Free Trial
      U

      University of Colorado Boulder

      Parallel Computing with MPI

      Skills you'll gain: C and C++, Data Sharing, Communication Systems

      Advanced · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Integral Calculus through Data and Modeling

      Skills you'll gain: Calculus, Integral Calculus, Numerical Analysis, Advanced Mathematics, Mathematical Theory & Analysis, Mathematical Modeling, Data Analysis, Linear Algebra, Probability, Geometry, Applied Mathematics, Visualization (Computer Graphics), Mechanics, Engineering Calculations, Graphing, Spatial Data Analysis, Physics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      130 reviews

      Intermediate · Specialization · 3 - 6 Months

    • 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, Algorithms, Programming Principles, Computational Logic, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      722 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      L

      LearnQuest

      AI for Scientific Research

      Skills you'll gain: Feature Engineering, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Data Processing, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Machine Learning Algorithms, Data Transformation, NumPy, Classification And Regression Tree (CART), Tensorflow, Machine Learning, Predictive Modeling, Data Science

      3.2
      Rating, 3.2 out of 5 stars
      ·
      81 reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Computational Thinking with JavaScript

      Skills you'll gain: Computational Thinking, JSON, Application Deployment, Data Structures, Javascript, Application Development, HTML and CSS, Data Analysis, Code Review, Software Development, Data Visualization Software, Web Development, Scripting, Prototyping, Data Processing, Programming Principles, Unsupervised Learning, Front-End Web Development, Data Science, Computer Programming

      Beginner · Specialization · 3 - 6 Months

    • Status: Free
      Free
      P

      Princeton University

      Computer Science: Programming with a Purpose

      Skills you'll gain: Programming Principles, Computer Programming, Object Oriented Programming (OOP), Performance Tuning, Data Structures, Java Programming, Java, Computational Thinking, Computer Science, Algorithms, Animations, Simulations, Debugging

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

      Beginner · Course · 1 - 3 Months

    • Status: Preview
      Preview
      L

      LearnQuest

      Cloud Computing Basics (Cloud 101)

      Skills you'll gain: Cloud Hosting, Cloud Computing, Cloud Platforms, Cloud Services, Cloud Technologies, Cloud Infrastructure, Cloud Solutions, Cloud Computing Architecture, Public Cloud, Computing Platforms, Infrastructure As A Service (IaaS), IT Infrastructure, Managed Services, Serverless Computing, Virtual Machines, Hybrid Cloud Computing, Software As A Service, Private Cloud, Microsoft Azure, Platform As A Service (PaaS)

      4.5
      Rating, 4.5 out of 5 stars
      ·
      6.5K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Data-Oriented Python Programming and Debugging

      Skills you'll gain: NumPy, Debugging, Pandas (Python Package), Statistics, Data Analysis, Descriptive Statistics, Data-oriented programming, Data Processing, Maintainability, Numerical Analysis, Critical Thinking, Technical Support

      4.4
      Rating, 4.4 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Social Computing

      Skills you'll gain: Social Network Analysis, Network Analysis, Responsible AI, Graph Theory, Collaborative Software, Machine Learning, Applied Machine Learning, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Data Collection, LLM Application, Behavioral Economics, Analytics

      4.2
      Rating, 4.2 out of 5 stars
      ·
      10 reviews

      Intermediate · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Preview
      Preview
      N

      Northeastern University

      Computation and Visualization for Analytics Part 2

      Skills you'll gain: Data Storytelling, Plotly, Statistical Visualization, Interactive Data Visualization, Matplotlib, Data Visualization Software, Network Analysis, Seaborn, Data-Driven Decision-Making, Data Mining, Scatter Plots, R Programming, Graph Theory, Data Science, Time Series Analysis and Forecasting

      Build toward a degree

      Mixed · Course · 1 - 3 Months

    • Status: New
      New
      P

      Packt

      Intro to NumPy

      Skills you'll gain: NumPy, Scientific Visualization, Jupyter, Time Series Analysis and Forecasting, Graphing, Data Visualization Software, Data Structures, Python Programming, Numerical Analysis, Data Manipulation, Mathematical Software

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Engineering Practices, Matlab, Engineering Calculations, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Artificial Neural Networks

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Beginner · Specialization · 1 - 3 Months

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

    • Parallel Computing with MPI: University of Colorado Boulder
    • Integral Calculus through Data and Modeling: Johns Hopkins University
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • AI for Scientific Research: LearnQuest
    • Computational Thinking with JavaScript: University of Glasgow
    • Computer Science: Programming with a Purpose: Princeton University
    • Cloud Computing Basics (Cloud 101): LearnQuest
    • Data-Oriented Python Programming and Debugging: University of Michigan
    • Social Computing: Johns Hopkins University
    • Computation and Visualization for Analytics Part 2: Northeastern University

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