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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
      B

      Birla Institute of Technology & Science, Pilani

      Logic for Computer Science

      Skills you'll gain: Computational Logic, Logical Reasoning, Deductive Reasoning, Analytical Skills, Theoretical Computer Science, Computational Thinking, Computer Science, Data Analysis, Computer Programming, Verification And Validation, Algorithms, Program Development, 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, Computational Thinking, Java Programming, Computer Hardware

      4.7
      Rating, 4.7 out of 5 stars
      ·
      723 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      S

      Siemens

      Applied Computational Fluid Dynamics

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

      4.7
      Rating, 4.7 out of 5 stars
      ·
      168 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 Processing, Numerical Analysis, Critical Thinking

      4.1
      Rating, 4.1 out of 5 stars
      ·
      7 reviews

      Intermediate · Course · 1 - 4 Weeks

    • 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, Combinatorics, Bayesian Network, Statistical Hypothesis Testing, Data Analysis, R (Software), Probability, Statistics, Probability & Statistics, Statistical Methods, Bayesian Statistics, Social Network Analysis, Applied Mathematics, Probability Distribution, Simulations, Data Science

      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, Computer Science, Computer Vision, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Biology, Linear Algebra, Information Architecture, Differential Equations, Probability & Statistics

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

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      V

      Vanderbilt University

      Mastering Programming with MATLAB

      Skills you'll gain: Matlab, Algorithms, User Interface (UI), Object Oriented Programming (OOP), Computer Programming, Engineering Analysis, Scripting, Performance Tuning

      4.8
      Rating, 4.8 out of 5 stars
      ·
      427 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Cloud Computing Foundations

      Skills you'll gain: Technical Communication, Cloud Infrastructure, CI/CD, Cloud Computing, Agile Software Development, DevOps, Infrastructure As A Service (IaaS), Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Amazon Web Services, Software Development Methodologies, Platform As A Service (PaaS), GitHub

      4.5
      Rating, 4.5 out of 5 stars
      ·
      273 reviews

      Beginner · Course · 1 - 3 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, Statistical Programming, Exploratory Data Analysis, Data Manipulation, Data Science, Other Programming Languages, Computer Programming, Mathematical Modeling, Package and Software Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      434 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      J

      Johns Hopkins University

      Toxicology 21: Scientific Applications

      Skills you'll gain: Product Testing, Hazard Analysis, Analytical Chemistry, Environmental Regulations, Pharmacology, Biochemistry, Cell Cultures, Environmental Science, Biochemical Assays, Laboratory Research, Biostatistics, Bioinformatics, Molecular Biology, Data Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      89 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      U

      University of London

      Mathematics for Computer Science

      Skills you'll gain: Arithmetic, Computer Graphics, Computational Thinking, General Mathematics, Systems Of Measurement, Algebra, Cryptography

      4.2
      Rating, 4.2 out of 5 stars
      ·
      253 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Preview
      Preview
      C

      Coursera Instructor Network

      OpenCL Programming

      Skills you'll gain: Field-Programmable Gate Array (FPGA), Scalability, Performance Tuning, C++ (Programming Language), Embedded Software, Computer Architecture, Cross Platform Development, Hardware Architecture, Application Development, C (Programming Language), Program Development, Application Performance Management

      Beginner · Course · 1 - 4 Weeks

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    1…456…371

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

    • Logic for Computer Science: Birla Institute of Technology & Science, Pilani
    • Computer Science: Algorithms, Theory, and Machines: Princeton University
    • Applied Computational Fluid Dynamics: Siemens
    • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
    • Statistical Methods for Computer Science: Johns Hopkins University
    • Computational Neuroscience: University of Washington
    • Mastering Programming with MATLAB: Vanderbilt University
    • Cloud Computing Foundations: Duke University
    • Julia Scientific Programming: University of Cape Town
    • Toxicology 21: Scientific Applications: Johns Hopkins University

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