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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
    U

    University of California, Davis

    Sensory Science: The Senses

    Skills you'll gain: Food and Beverage, Physiology, Human Factors, Anatomy, Psychology, Neurology, Experimentation, Chemistry, Research

    4.9
    Rating, 4.9 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Advanced Data Science Techniques (with AWS Integration)

    Skills you'll gain: AWS SageMaker, Unsupervised Learning, Feature Engineering, Time Series Analysis and Forecasting, Amazon Web Services, Applied Machine Learning, Trend Analysis, Advanced Analytics, Machine Learning Methods, Cloud Development, Amazon S3, Artificial Intelligence and Machine Learning (AI/ML), Cloud Computing, Machine Learning, Forecasting, MLOps (Machine Learning Operations), Predictive Analytics, Predictive Modeling, Machine Learning Algorithms, Supervised Learning

    Beginner · Course · 1 - 3 Months

  • A

    Amazon Web Services

    DevOps and AI on AWS: AIOps

    Skills you'll gain: Amazon CloudWatch, DevOps, DevSecOps, Code Review, Amazon Web Services, CI/CD, MLOps (Machine Learning Operations), Application Performance Management, IT Automation, Artificial Intelligence and Machine Learning (AI/ML), Anomaly Detection, Continuous Monitoring, System Monitoring, Vulnerability Scanning, Predictive Analytics

    5
    Rating, 5 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Introduction to AI: Key Concepts and Applications

    Skills you'll gain: Performance Metric, Artificial Intelligence, Strategic Leadership, Responsible AI, Strategic Decision-Making, Data Quality, MLOps (Machine Learning Operations), Applied Machine Learning, Machine Learning, Algorithms, Artificial Neural Networks, Data Validation, Decision Tree Learning, Random Forest Algorithm, Resource Utilization, System Requirements

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Getting Started with Vector Search and Embeddings

    Skills you'll gain: Google Cloud Platform, Text Mining, Applied Machine Learning, Cloud API, Unstructured Data, Cloud Computing

    Intermediate · Project · Less Than 2 Hours

  • A

    Amazon Web Services

    Hands-on with AWS: Software Development Practices

    Skills you'll gain: CI/CD, Continuous Integration, Application Deployment, Continuous Delivery, Software Development, Version Control, Git (Version Control System), DevOps, Test Automation, Unit Testing, Amazon Web Services, Software Testing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 4 Weeks

  • P

    Packt

    Developing Solutions for Microsoft Azure (AZ-204)

    Skills you'll gain: Microsoft Azure, Virtual Machines, Cloud Applications, Cloud Development, Application Deployment, Infrastructure As A Service (IaaS), Authentications, Redis, Active Directory, Cloud Computing, Serverless Computing, Application Performance Management, Cloud Storage, NoSQL, Key Management, Data Storage Technologies, Containerization, Scalability, Application Programming Interface (API)

    Intermediate · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Developing Containerized Applications on Google Cloud

    Skills you'll gain: Containerization, CI/CD, Kubernetes, Docker (Software), Google Cloud Platform, Cloud Development, Application Deployment, Cloud Applications, Infrastructure Security, Serverless Computing

    4.3
    Rating, 4.3 out of 5 stars
    ·
    12 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Deep Learning with PyTorch : Siamese Network

    Skills you'll gain: PyTorch (Machine Learning Library), Artificial Neural Networks, Image Analysis, Deep Learning, Computer Vision

    4.6
    Rating, 4.6 out of 5 stars
    ·
    48 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • Status: Free
    Free
    A

    Amazon Web Services

    Amazon Braket Getting Started

    Skills you'll gain: Amazon Web Services, Public Cloud, Computing Platforms, Technical Documentation, Systems Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Manage Security Operations

    Skills you'll gain: Microsoft Azure, Threat Modeling, Cloud Security, Continuous Monitoring, System Monitoring, Security Information and Event Management (SIEM), Security Management, Threat Detection, Application Performance Management, Event Monitoring, Vulnerability Management, Incident Response, Query Languages

    4.6
    Rating, 4.6 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    Università di Napoli Federico II

    Comparative Research Designs and Methods

    Skills you'll gain: Research Methodologies, Qualitative Research, Research Design, Social Sciences, Case Studies, Scientific Methods, Statistical Analysis, Computational Logic, Regression Analysis, Political Sciences

    4.6
    Rating, 4.6 out of 5 stars
    ·
    10 reviews

    Beginner · Course · 1 - 3 Months

Searches related to scientific computing

introduction to python for scientific computing
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In summary, here are 10 of our most popular scientific computing courses

  • Sensory Science: The Senses: University of California, Davis
  • Advanced Data Science Techniques (with AWS Integration): Coursera
  • DevOps and AI on AWS: AIOps: Amazon Web Services
  • Introduction to AI: Key Concepts and Applications: Johns Hopkins University
  • Getting Started with Vector Search and Embeddings: Google Cloud
  • Hands-on with AWS: Software Development Practices: Amazon Web Services
  • Developing Solutions for Microsoft Azure (AZ-204): Packt
  • Developing Containerized Applications on Google Cloud: Google Cloud
  • Deep Learning with PyTorch : Siamese Network: Coursera
  • Amazon Braket Getting Started: Amazon Web Services

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