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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: 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
    ·
    18 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    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

  • P

    Packt

    Intro to NumPy

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Parallel, Concurrent, and Distributed Programming in Java

    Skills you'll gain: Apache Kafka, Apache Spark, Apache Hadoop, Distributed Computing, Dataflow, Java Programming, Java, Software Architecture, Systems Architecture, Scala Programming, Data Structures, System Programming, Programming Principles, Servers, Application Frameworks, Debugging, Algorithms, Performance Tuning, Functional Design, Performance Testing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.6K reviews

    Intermediate · Specialization · 3 - 6 Months

  • 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
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    179 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, Technical Documentation, Infrastructure As A Service (IaaS), Cloud Platforms, Continuous Delivery, Infrastructure as Code (IaC), Serverless Computing, Software Development, Platform As A Service (PaaS), GitHub

    4.5
    Rating, 4.5 out of 5 stars
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    292 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Data Preprocessing, Model Evaluation, Engineering Practices, Matlab, Engineering Calculations, Classification Algorithms, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
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    139 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Introduction to Networking and Cloud Computing

    Skills you'll gain: Network Security, Cloud Computing, Virtualization, Network Infrastructure, Microsoft Azure, Firewall, General Networking, Computer Networking, Digital Transformation, Cybersecurity, Network Protocols, Virtual Machines, Network Monitoring, Artificial Intelligence and Machine Learning (AI/ML)

    4.8
    Rating, 4.8 out of 5 stars
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    557 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Computing, Ethics, and Society

    Skills you'll gain: Data Ethics, Security Awareness, Healthcare Ethics, Responsible AI, Ethical Standards And Conduct, Computer Security Awareness Training, Cybersecurity, Diversity Awareness, Generative AI, Artificial Intelligence, Information Technology, Information Privacy, Diversity Equity and Inclusion Initiatives, Social Impact, Media and Communications, Automation, Robotics, Cultural Diversity, Personally Identifiable Information, Emerging Technologies

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Beginner · Specialization · 3 - 6 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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Computational Thinking & Block Programming in K-12 Education

    Skills you'll gain: Debugging, Computer Programming Tools, Algorithms, Programming Principles, Computational Thinking, Digital pedagogy, Program Development, Technical Communication, Computer Programming, Education Software and Technology, Event-Driven Programming, Code Review, Diversity Equity and Inclusion Initiatives, Computer Science, Software Documentation, Brainstorming, Data Structures, Student Engagement, Visualization (Computer Graphics), Game Design

    4.7
    Rating, 4.7 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Statistical Methods for Computer Science: Johns Hopkins University
  • Data-Oriented Python Programming and Debugging: University of Michigan
  • Data-Oriented C++ in Scientific Programming: University of Geneva
  • Intro to NumPy: Packt
  • Parallel, Concurrent, and Distributed Programming in Java: Rice University
  • Applied Computational Fluid Dynamics: Siemens
  • Cloud Computing Foundations: Duke University
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • Introduction to Networking and Cloud Computing: Microsoft
  • Computing, Ethics, and Society: University of Colorado Boulder

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