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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
    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
    ·
    291 reviews

    Beginner · Course · 1 - 3 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

  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Computing Systems

    Skills you'll gain: Computer Architecture, Computer Systems, Computational Logic, Hardware Design, Computer Hardware, Programming Principles, Digital Signal Processing, Debugging

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    L

    LearnQuest

    Cloud Computing Basics (Cloud 101)

    Skills you'll gain: Cloud Hosting, Cloud Computing, Cloud Platforms, Cloud Services, Cloud Deployment, Cloud Technologies, Cloud Infrastructure, Cloud Computing Architecture, Public Cloud, Infrastructure As A Service (IaaS), Managed Services, Serverless Computing, Virtual Machines, Hybrid Cloud Computing, Software As A Service, Microsoft Azure, Platform As A Service (PaaS), Emerging Technologies, Containerization, Scalability

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.5K 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

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 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 Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts, Part 1

    Skills you'll gain: Distributed Computing, NoSQL, Apache Cassandra, Cloud Computing, Systems Design, Data Storage Technologies, Apache Hadoop, Database Theory, Algorithms, Theoretical Computer Science, Scalability, C++ (Programming Language), Network Protocols

    4.3
    Rating, 4.3 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Cloud Computing Concepts: Part 2

    Skills you'll gain: Distributed Computing, File Systems, Cloud Computing, Operating Systems, Transaction Processing, Network Security, Data Centers, Authorization (Computing), Apache Hadoop, Data Store, Authentications, Cryptography, NoSQL, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
    ·
    321 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark

    Skills you'll gain: Apache Spark, Scala Programming, Distributed Computing, Big Data, Data Manipulation, Data Processing, Performance Tuning, Data Transformation, SQL

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.6K reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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
    ·
    139 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Advanced Data Structures, RSA and Quantum Algorithms

    Skills you'll gain: Public Key Cryptography Standards (PKCS), Cryptography, Data Structures, Algorithms, Encryption, Theoretical Computer Science, Computer Science, Programming Principles, Computational Thinking, IBM Cloud, Advanced Mathematics

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · 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

  • Cloud Computing Foundations: Duke University
  • Statistical Methods for Computer Science: Johns Hopkins University
  • Introduction to Computing Systems: Birla Institute of Technology & Science, Pilani
  • Cloud Computing Basics (Cloud 101): LearnQuest
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Data-Oriented C++ in Scientific Programming: University of Geneva
  • Cloud Computing Concepts, Part 1: University of Illinois Urbana-Champaign
  • Cloud Computing Concepts: Part 2: University of Illinois Urbana-Champaign
  • Big Data Analysis with Scala and Spark: École Polytechnique Fédérale de Lausanne
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow

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