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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


  • 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: Preview
    Preview
    L

    Ludwig-Maximilians-Universität München (LMU)

    Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python

    Skills you'll gain: Finite Element Methods, Numerical Analysis, Engineering Analysis, Jupyter, Engineering Calculations, Differential Equations, Applied Mathematics, Mathematical Modeling, Distributed Computing, Python Programming, Mechanics, Vibrations, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    389 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Pointers and Memory Management - 4

    Skills you'll gain: C (Programming Language), Embedded Systems, Software Visualization, Computer Engineering, Embedded Software, System Programming, Computer Science, Computer Programming, Operating Systems, Data Structures, Linux

    4.7
    Rating, 4.7 out of 5 stars
    ·
    64 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Parallel programming

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Algorithms, Functional Design, Java Programming, Other Programming Languages, Performance Tuning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Linux Basics: The Command Line Interface - 6

    Skills you'll gain: Command-Line Interface, Linux Commands, Linux, Embedded Systems, Linux Servers, Computer Engineering, File Systems, Unix, Operating Systems, C (Programming Language), Computer Programming, Open Source Technology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 1)

    Skills you'll gain: Combinatorics, Probability, Programming Principles, Program Development, Computational Thinking, Computer Programming, Object Oriented Programming (OOP), Development Testing, Software Testing, Applied Mathematics, Debugging, Algorithms, Python Programming, Game Design, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    584 reviews

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Concurrent and Parallel Programming in Python

    Skills you'll gain: Performance Tuning, Python Programming, OS Process Management, Data Processing, Scalability, Database Management

    3.7
    Rating, 3.7 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    C Programming: Using Linux Tools and Libraries - 7

    Skills you'll gain: File I/O, Embedded Software, C (Programming Language), Linux, Embedded Systems, Build Tools, Command-Line Interface, Operating Systems, Program Development, Software Installation, Development Environment, Application Development, Computer Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Computing for Cancer Informatics

    Skills you'll gain: Computer Systems, Informatics, Data Processing, Data Sharing, Computing Platforms, Bioinformatics, Data Storage, Computer Literacy, Computer Hardware, Big Data, Capacity Management, Data Centers, Computer Security Awareness Training, Cloud Computing, Oncology

    4.6
    Rating, 4.6 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Principles of Computing (Part 2)

    Skills you'll gain: Computational Thinking, Programming Principles, Algorithms, Data Structures, Theoretical Computer Science, Computer Programming, Python Programming, Computer Science, Verification And Validation, Game Theory, Mathematical Modeling, Test Case, Simulations

    4.8
    Rating, 4.8 out of 5 stars
    ·
    365 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    GNU Octave: Apply, Implement & Design Functions

    Skills you'll gain: Mathematical Software, Software Installation, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Trigonometry, Programming Principles, Data Manipulation, Engineering Calculations, Linear Algebra, Scripting Languages, Data Structures

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    T

    The University of Chicago

    Global Warming II: Create Your Own Models in Python

    Skills you'll gain: Climate Change Programs, Mathematical Modeling, NumPy, Physical Science, Simulation and Simulation Software, Environmental Science, Scientific Visualization, Matplotlib, Simulations, Numerical Analysis, Differential Equations, Mechanics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    57 reviews

    Mixed · Course · 1 - 3 Months

Searches related to scientific computing

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

  • Introduction to Programming: Birla Institute of Technology & Science, Pilani
  • Computers, Waves, Simulations: A Practical Introduction to Numerical Methods using Python: Ludwig-Maximilians-Universität München (LMU)
  • C Programming: Pointers and Memory Management - 4: Dartmouth College
  • Parallel programming: École Polytechnique Fédérale de Lausanne
  • Linux Basics: The Command Line Interface - 6: Dartmouth College
  • Principles of Computing (Part 1): Rice University
  • Concurrent and Parallel Programming in Python: Packt
  • C Programming: Using Linux Tools and Libraries - 7: Dartmouth College
  • Computing for Cancer Informatics: Johns Hopkins University
  • Principles of Computing (Part 2): Rice University

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