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Scientific Computing Courses

Scientific computing courses can help you learn numerical methods, data analysis, algorithm development, and simulation techniques. You can build skills in programming languages like Python and R, as well as mathematical modeling and statistical analysis. Many courses introduce tools such as MATLAB, NumPy, and SciPy, that support implementing algorithms and processing large datasets effectively.


Popular Scientific Computing Courses and Certifications


  • Status: Preview
    Preview
    S

    Siemens

    Applied Computational Fluid Dynamics

    Skills you'll gain: Engineering Analysis, Thermal Management, Mechanical Engineering, Simulations, Numerical Analysis, Engineering Calculations, Mathematical Modeling, Chemical Engineering, Scientific Visualization, Physics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    CUDA at Scale for the Enterprise

    Skills you'll gain: Image Analysis, Event-Driven Programming, Scalability, Digital Signal Processing, C and C++, Distributed Computing, Computer Graphics, System Programming, Program Development, Performance Tuning, Hardware Architecture, Data Structures, Algorithms

    3.1
    Rating, 3.1 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of California, Santa Cruz

    C and Go: Classical and Modern Programming

    Skills you'll gain: Go (Programming Language), File I/O, Data Structures, Programming Principles, Object Oriented Programming (OOP), Debugging, Computer Programming, Unit Testing, C (Programming Language), Program Development, Integrated Development Environments, Computer Science, Software Testing, Algorithms, Integration Testing, Software Design, System Design and Implementation, Distributed Computing, Software Documentation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    7.3K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Neurology, Computer Science, Reinforcement Learning, Computational Thinking, Bioinformatics, Mathematical Modeling, Physiology, Recurrent Neural Networks (RNNs), Biology, Information Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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, Cloud Applications, Apache Mahout, Cloud Computing Architecture, Infrastructure As A Service (IaaS), Data Storage, Middleware, Software-Defined Networking, NoSQL

    4.3
    Rating, 4.3 out of 5 stars
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    2.1K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.2
    Rating, 3.2 out of 5 stars
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    82 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Logic for Computer Science

    Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Theoretical Computer Science, Analytical Skills, Programming Principles, Computer Science, Data Analysis, Computer Programming, Algorithms, Verification And Validation, Systems Analysis, Software Development, Machine Learning

    Beginner · Course · 1 - 3 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, Java Programming, Computer Hardware, Scalability

    4.7
    Rating, 4.7 out of 5 stars
    ·
    742 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4
    Rating, 4 out of 5 stars
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    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    F

    Fractal Analytics

    Quantum Computing For Everyone - An Introduction

    Skills you'll gain: Cloud Computing, Information Technology, Cybersecurity, Linear Algebra, Critical Thinking, Simulations

    4.2
    Rating, 4.2 out of 5 stars
    ·
    103 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Differential Calculus through Data and Modeling

    Skills you'll gain: Calculus, Applied Mathematics, Data Modeling, Estimation, Graphing, Mathematical Modeling, Numerical Analysis, Algebra, Mathematical Software, Engineering Calculations, Linear Algebra, Trigonometry, Operations Research, Data Analysis, Graphical Tools, Derivatives, Mathematical Theory & Analysis, Geometry

    4.8
    Rating, 4.8 out of 5 stars
    ·
    386 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Cape Town

    Julia Scientific Programming

    Skills you'll gain: Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Exploratory Data Analysis, Data Manipulation, Data Science, Other Programming Languages, Statistical Hypothesis Testing, Computer Programming, Mathematical Modeling, Package and Software Management

    4.4
    Rating, 4.4 out of 5 stars
    ·
    436 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Applied Computational Fluid Dynamics: Siemens
  • CUDA at Scale for the Enterprise: Johns Hopkins University
  • C and Go: Classical and Modern Programming: University of California, Santa Cruz
  • Computational Neuroscience: University of Washington
  • Cloud Computing: University of Illinois Urbana-Champaign
  • AI for Scientific Research: LearnQuest
  • Logic for Computer Science: Birla Institute of Technology & Science, Pilani
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Quantum Computing For Everyone - An Introduction : Fractal Analytics

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