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Results for "bioinformatique"

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Identifying Patient Populations

    Skills you'll gain: Data Manipulation, Bioinformatics, Informatics, Data Processing, Clinical Informatics, Data Science, Health Informatics, Clinical Data Management, Analytics, Machine Learning Algorithms, Data Validation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    40 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Reproducibility in Cancer Informatics

    Skills you'll gain: Code Review, GitHub, Git (Version Control System), Version Control, Docker (Software), Software Development Tools, Continuous Integration, Containerization, Bioinformatics, Informatics, Automation, Data Analysis, R Programming

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Documentation and Usability for Cancer Informatics

    Skills you'll gain: Usability, User Experience Design, User Centered Design, Usability Testing, Technical Documentation, Bioinformatics, End User Training and Support, Clinical Informatics, Technical Writing, Product Development, Writing

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Introduction to Reproducibility in Cancer Informatics

    Skills you'll gain: Package and Software Management, Code Review, Open Source Technology, GitHub, Scientific Methods, Technical Documentation, Informatics, R (Software), Data Analysis, Programming Principles, R Programming, Git (Version Control System), Integrated Development Environments

    Intermediate · Course · 1 - 3 Months

1…6789

In summary, here are 4 of our most popular bioinformatique courses

  • Identifying Patient Populations: University of Colorado System
  • Advanced Reproducibility in Cancer Informatics: Johns Hopkins University
  • Documentation and Usability for Cancer Informatics: Johns Hopkins University
  • Introduction to Reproducibility in Cancer Informatics: Johns Hopkins University

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