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  • Scientific Computing

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
    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

  • Status: Free Trial
    Free Trial
    U

    University of London

    Mathematics for Computer Science

    Skills you'll gain: Arithmetic, Applied Mathematics, Computer Science, Computational Thinking, General Mathematics, Mathematical Modeling, Algebra, Cryptography, Systems Of Measurement

    4.2
    Rating, 4.2 out of 5 stars
    ·
    268 reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Programming

    Skills you'll gain: C (Programming Language), Computer Programming, Computational Thinking, Data Structures, Algorithms, Operating Systems, File Systems, Computer Hardware, Debugging, Data Management

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    55 reviews

    Beginner · 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
    U

    University of Geneva

    Data-Oriented C++ in Scientific Programming

    Skills you'll gain: Data-oriented programming, Operating Systems, Simulation and Simulation Software

    Intermediate · 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
    P

    Packt

    The Complete Quantum Computing Course for Beginners

    Skills you'll gain: Python Programming, Algorithms, Computer Programming, Theoretical Computer Science, Linear Algebra, Mathematics and Mathematical Modeling, Computer Science, Algebra, Object Oriented Programming (OOP), IBM Cloud, Scripting, Probability, Artificial Intelligence and Machine Learning (AI/ML), Data Processing, Mathematical Modeling, Data Structures, Data Manipulation, Probability & Statistics, Applied Mathematics, Software Installation

    4.4
    Rating, 4.4 out of 5 stars
    ·
    81 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Statistical Methods for Computer Science

    Skills you'll gain: Network Analysis, R Programming, Statistical Analysis, Regression Analysis, Statistical Modeling, Bayesian Network, Statistical Hypothesis Testing, Statistical Programming, Data Analysis, R (Software), Probability, Probability Distribution, Applied Machine Learning, Probability & Statistics, Statistical Methods, Social Network Analysis, Applied Mathematics, Simulations, Data Science, Markov Model

    Intermediate · Specialization · 3 - 6 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, Statistical Programming, Descriptive Statistics, Exploratory Data Analysis, Data Preprocessing, Data-oriented programming, Program Development, Numerical Analysis, Critical Thinking

    4.3
    Rating, 4.3 out of 5 stars
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    16 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, Machine Learning, Applied Machine Learning, Research, Model Evaluation, Social Sciences, Statistical Analysis, Amazon Web Services, R Programming, Tensorflow, Data Ethics, Artificial Intelligence and Machine Learning (AI/ML), Research Design, Sociology, Driving engagement, Machine Learning Methods, Behavioral Economics

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computing, Ethics, and Society Foundations

    Skills you'll gain: Data Ethics, Security Awareness, Computer Security Awareness Training, Ethical Standards And Conduct, Cybersecurity, Information Technology, Responsible AI, Information Privacy, Social Impact, Media and Communications, Personally Identifiable Information, Artificial Intelligence, General Data Protection Regulation (GDPR)

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Julia Scientific Programming: University of Cape Town
  • Mathematics for Computer Science: University of London
  • C and Go: Classical and Modern Programming: University of California, Santa Cruz
  • Introduction to Programming: Birla Institute of Technology & Science, Pilani
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Data-Oriented C++ in Scientific Programming: University of Geneva
  • Computer Science: Algorithms, Theory, and Machines: Princeton University
  • The Complete Quantum Computing Course for Beginners: Packt
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Data-Oriented Python Programming and Debugging: University of Michigan

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