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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: Preview
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    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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    55 reviews

    Mixed · Course · 1 - 3 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Programming

    Skills you'll gain: C (Programming Language), Computer Hardware, Computer Programming, Computer Architecture, Computational Thinking, Data Structures, Algorithms, File Management, Operating Systems, Program Development, Debugging

    Build toward a degree

    4.5
    Rating, 4.5 out of 5 stars
    ·
    54 reviews

    Beginner · Course · 1 - 3 Months

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    U

    University of Illinois Urbana-Champaign

    3D Data Visualization for Science Communication

    Skills you'll gain: Data Literacy, Data Storytelling, Scientific Visualization, Visualization (Computer Graphics), Data Presentation, Data Visualization Software, Spatial Data Analysis, Computer Graphics, 3D Modeling, Graphical Tools, Video Production

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    Practical Quantum Computing with IBM Qiskit for Beginners

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

    4.6
    Rating, 4.6 out of 5 stars
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    9 reviews

    Beginner · Course · 3 - 6 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

    4.6
    Rating, 4.6 out of 5 stars
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    319 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    É

    École Polytechnique Fédérale de Lausanne

    Big Data Analysis with Scala and Spark (Scala 2 version)

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

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Distributed Image Processing in Cloud Dataproc

    Skills you'll gain: Apache Spark, PySpark, Google Cloud Platform, Cloud Management, Cloud Computing, Distributed Computing, Package and Software Management

    Intermediate · Project · Less Than 2 Hours

  • B

    Birla Institute of Technology & Science, Pilani

    Introduction to Computing Systems

    Skills you'll gain: Microarchitecture, Computer Architecture, Computer Systems, Computer Engineering, Programming Principles, Computational Logic, Systems Architecture, Computer Hardware, Embedded Systems, Algorithms

    4.4
    Rating, 4.4 out of 5 stars
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    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
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    J

    Johns Hopkins University

    Introduction to Social Computing

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

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Machine Learning Models in Science

    Skills you'll gain: Applied Machine Learning, Data Processing, Dimensionality Reduction, Data Cleansing, Machine Learning Algorithms, Data Transformation, Artificial Neural Networks, Random Forest Algorithm, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Unsupervised Learning, Supervised Learning, Predictive Modeling, Python Programming

    4
    Rating, 4 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Omnibond: Creating an HPC Environment in Google Cloud with CloudyCluster

    Skills you'll gain: Google Cloud Platform, Cloud Computing, Cloud Management, Cloud Infrastructure, Public Cloud, Jupyter, System Configuration, Cloud Applications

    Beginner · Project · Less Than 2 Hours

  • 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, Data Storage Technologies, Apache Hadoop, 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, Live Streaming

    4.3
    Rating, 4.3 out of 5 stars
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    342 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

  • Global Warming II: Create Your Own Models in Python: The University of Chicago
  • Introduction to Programming: Birla Institute of Technology & Science, Pilani
  • 3D Data Visualization for Science Communication: University of Illinois Urbana-Champaign
  • Practical Quantum Computing with IBM Qiskit for Beginners: Packt
  • Cloud Computing Concepts: Part 2: University of Illinois Urbana-Champaign
  • Big Data Analysis with Scala and Spark (Scala 2 version): École Polytechnique Fédérale de Lausanne
  • Distributed Image Processing in Cloud Dataproc: Google Cloud
  • Introduction to Computing Systems: Birla Institute of Technology & Science, Pilani
  • Introduction to Social Computing: Johns Hopkins University
  • Machine Learning Models in Science: LearnQuest

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