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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: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Social Computing

    Skills you'll gain: Responsible AI, Social Network Analysis, Driving engagement, Behavioral Economics, Network Analysis, Game Design, Social Sciences, Sociology, Artificial Intelligence, Systems Thinking, Research, Human Computer Interaction, Data Collection, Psychology

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Python Programming for Quantum Computing

    Skills you'll gain: Object Oriented Programming (OOP), Data Structures, Python Programming, Data Manipulation, Programming Principles, Computer Programming, Software Installation, Development Environment, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    ·
    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Social Computing

    Skills you'll gain: Collaborative Software, Telecommuting, Social Impact, Social Network Analysis, Remote Access Systems, Interaction Design, Driving engagement, Computing Platforms, Digital Communications

    4.4
    Rating, 4.4 out of 5 stars
    ·
    818 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    É

    École Polytechnique Fédérale de Lausanne

    Parallel programming (Scala 2 version)

    Skills you'll gain: Scala Programming, Data Structures, Distributed Computing, Programming Principles, Algorithms, Performance Tuning, Functional Design, Performance Testing, Computer Programming

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    F

    Fred Hutchinson Cancer Center

    Smarter Scientific Software Development with GitHub Actions

    Skills you'll gain: Continuous Integration, Continuous Deployment, CI/CD, GitHub, Docker (Software), Software Development, Development Environment, Test Automation, Automation, Debugging, YAML

    Intermediate · Course · 1 - 4 Weeks

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

    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

  • P

    Politecnico di Milano

    Developing FPGA-accelerated cloud applications with SDAccel: Practice

    Skills you'll gain: Amazon Elastic Compute Cloud, Cloud Applications, Bioinformatics, Cloud Computing Architecture, Cloud Computing, Algorithms, Development Environment, Performance Tuning, Computer Architecture, Hardware Architecture, System Design and Implementation, Computer Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Data Preprocessing, Applied Machine Learning, Dimensionality Reduction, Data Cleansing, Scikit Learn (Machine Learning Library), Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Supervised Learning, Classification Algorithms, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud

    Skills you'll gain: Big Data, Apache Spark, Apache Hadoop, Apache Mahout, Distributed Computing, Data Storage, Data Processing, NoSQL, Apache Kafka, Cloud Computing, Real Time Data, Databases, Analytics, Deep Learning, Scalability, Machine Learning Algorithms, Graph Theory, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    342 reviews

    Mixed · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Data Processing and Exploration with NumPy & Pandas

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Data Preprocessing, Exploratory Data Analysis, Data Cleansing, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Practical Quantum Computing with IBM Qiskit for Beginners

    Skills you'll gain: IBM Cloud, Cryptography, Algorithms, Python Programming, Linear Algebra, Computational Thinking, Jupyter, Simulation and Simulation Software, Physics, Software Installation, Development Environment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Python Debugging Capstone Project: Fixing and Extending Code

    Skills you'll gain: Data Manipulation, Data Preprocessing, Data Analysis, Python Programming

    Intermediate · Course · 1 - 4 Weeks

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1…8910…409

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

  • Introduction to Social Computing: Johns Hopkins University
  • Python Programming for Quantum Computing: Packt
  • Social Computing: University of California San Diego
  • Parallel programming (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Smarter Scientific Software Development with GitHub Actions: Fred Hutchinson Cancer Center
  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Developing FPGA-accelerated cloud applications with SDAccel: Practice: Politecnico di Milano
  • Machine Learning Models in Science: LearnQuest
  • Cloud Computing Applications, Part 2: Big Data and Applications in the Cloud: University of Illinois Urbana-Champaign
  • Data Processing and Exploration with NumPy & Pandas: Packt

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