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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
    I

    IBM

    Technical Support (IT) Case Studies and Capstone

    Skills you'll gain: Technical Support, Technical Support and Services, Hardware Troubleshooting, Cloud Computing, Desktop Support, Cloud Services, Cybersecurity, System Support, End User Training and Support, Cloud Storage, Network Troubleshooting, Cloud Security, Computer Hardware, Customer Service, General Networking, Data Storage, Issue Tracking, Operating Systems

    4.8
    Rating, 4.8 out of 5 stars
    ·
    183 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    New York University

    Machine Learning and Reinforcement Learning in Finance

    Skills you'll gain: Supervised Learning, Reinforcement Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Dimensionality Reduction, Unsupervised Learning, Artificial Neural Networks, Decision Tree Learning, Predictive Modeling, Financial Trading, Financial Market, Derivatives, Scikit Learn (Machine Learning Library), Markov Model, Regression Analysis, Market Dynamics, Risk Modeling, Tensorflow, Financial Modeling

    3.7
    Rating, 3.7 out of 5 stars
    ·
    819 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    A

    Advancing Women in Tech

    The Business of Product Management I

    Skills you'll gain: Product Management, Technical Product Management, Product Roadmaps, Product Strategy, Product Requirements, New Product Development, Product Lifecycle Management, Product Development, Competitive Analysis, Market Opportunities, Customer experience strategy (CX), Customer Insights, Innovation, Persuasive Communication, Market Analysis, B2B Sales

    4.5
    Rating, 4.5 out of 5 stars
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    813 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM Mainframe Developer

    Skills you'll gain: Mainframe Computing, COBOL (Programming Language), Software Development Life Cycle, z/OS, Unit Testing, Systems Analysis, Job Control Language (JCL), IBM DB2, Systems Development, Debugging, Pseudocode, Software Development Methodologies, Virtualization, Agile Methodology, Software Development, Test Driven Development (TDD), Report Writing, Relational Databases, Software Testing, Technical Support

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.3K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Washington

    Communicating Data Science Results

    Skills you'll gain: Data Ethics, Data Presentation, Data Storytelling, Data Visualization Software, Data Governance, Big Data, Technical Communication, Cloud Computing, Amazon Web Services, Information Privacy, Ethical Standards And Conduct, Scalability

    3.4
    Rating, 3.4 out of 5 stars
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    142 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Programming for Python Data Science: Principles to Practice

    Skills you'll gain: Matplotlib, Pandas (Python Package), NumPy, Data Visualization, Data Cleansing, Data Structures, Scientific Visualization, Data Visualization Software, Predictive Analytics, Debugging, Data Manipulation, Object Oriented Programming (OOP), Regression Analysis, Python Programming, Data Science, Algorithms, Simulations, Microsoft Visual Studio, Predictive Modeling, Data Analysis

    4
    Rating, 4 out of 5 stars
    ·
    89 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Dartmouth College

    Introduction to Environmental Science

    Skills you'll gain: Environment, Environmental Issue, Environmental Science, Demography, Energy and Utilities, Sustainable Development, Biology, Hydrology, Water Quality, Nutrition and Diet, Oil and Gas, Electric Power Systems, Systems Thinking, Water Resource Management, Natural Resource Management, Sustainable Technologies, Physics, Climate Change Mitigation, Construction, Chemistry

    4.7
    Rating, 4.7 out of 5 stars
    ·
    407 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate your Software Development Career

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Responsible AI, Generative AI, Artificial Intelligence, Software Development Tools, Software Testing, Test Automation, Software Development, DevSecOps, Application Security, CI/CD, Natural Language Processing, Software Engineering, Software Architecture

    4.6
    Rating, 4.6 out of 5 stars
    ·
    227 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Developing APIs with Google Cloud's Apigee API Platform

    Skills you'll gain: OAuth, API Design, Restful API, API Gateway, Application Programming Interface (API), Cloud API, Continuous Deployment, CI/CD, Application Deployment, Google Cloud Platform, Application Lifecycle Management, Enterprise Application Management, Security Controls, Proxy Servers, Continuous Integration, Application Security, Middleware, Software Documentation, Network Security, Application Performance Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    2.9K reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    U

    University of Pennsylvania

    A Crash Course in Causality: Inferring Causal Effects from Observational Data

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Statistical Methods, Statistical Modeling, Data Analysis, Probability & Statistics, Regression Analysis, Research Design, Graph Theory

    4.7
    Rating, 4.7 out of 5 stars
    ·
    568 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Cybersecurity Management and Compliance

    Skills you'll gain: Cloud Security, Data Management, Records Management, Security Management, Cloud Computing, Cyber Security Policies, Microsoft Azure, Threat Management, Disaster Recovery, Data Governance, Security Controls, Information Privacy, General Data Protection Regulation (GDPR)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    138 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Machine Learning Foundations for Product Managers

    Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

    4.7
    Rating, 4.7 out of 5 stars
    ·
    688 reviews

    Intermediate · 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

  • Technical Support (IT) Case Studies and Capstone: IBM
  • Machine Learning and Reinforcement Learning in Finance: New York University
  • The Business of Product Management I: Advancing Women in Tech
  • IBM Mainframe Developer: IBM
  • Communicating Data Science Results: University of Washington
  • Programming for Python Data Science: Principles to Practice: Duke University
  • Introduction to Environmental Science: Dartmouth College
  • Generative AI: Elevate your Software Development Career: IBM
  • Developing APIs with Google Cloud's Apigee API Platform: Google Cloud
  • A Crash Course in Causality: Inferring Causal Effects from Observational Data: University of Pennsylvania

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