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  1. tidyversecourse tidyversecourse Public

    Tidyverse Skills for Data Science in R

    R 27 17

  2. OTTR_Template OTTR_Template Public template

    OTTR for making courses! This is a template repo that helps people write 1 course but publish it in three places. Rendered example: https://jhudatascience.org/OTTR_Template/

    CSS 17 14

  3. intro_to_r intro_to_r Public

    A 2-week introduction to R programming course, with a focus on public health datasets

    HTML 15 6

  4. Reproducibility_in_Cancer_Informatics Reproducibility_in_Cancer_Informatics Public

    This course introduces the concepts of reproducibility and replicability in the context of cancer informatics. It is the first course in a two part course on reproducibility. It uses hands-on exerc…

    HTML 2 1

  5. Documentation_and_Usability Documentation_and_Usability Public

    This course covers the basics of creating documentation and tutorials to maximize the usability of informatics tools. It is meant for individuals developing tools for informatics.

    CSS 1

  6. ottr-reports ottr-reports Public

    For report checks for OTTR Github Actions.

    R 1

Repositories

Showing 10 of 80 repositories
  • ottrpal Public

    Tools for converting OTTR courses into Leanpub or Coursera courses 🦦

    jhudsl/ottrpal’s past year of commit activity
    R 3 GPL-3.0 1 32 (2 issues need help) 1 Updated Jan 10, 2025
  • OTTR_Template Public template

    OTTR for making courses! This is a template repo that helps people write 1 course but publish it in three places. Rendered example: https://jhudatascience.org/OTTR_Template/

    jhudsl/OTTR_Template’s past year of commit activity
    CSS 17 CC-BY-4.0 14 66 (2 issues need help) 1 Updated Jan 10, 2025
  • AnVIL_Template Public template

    An OTTR spinoff template for creating AnVIL content

    jhudsl/AnVIL_Template’s past year of commit activity
    CSS 0 CC-BY-4.0 1 11 2 Updated Jan 10, 2025
  • Reproducibility_in_Cancer_Informatics Public

    This course introduces the concepts of reproducibility and replicability in the context of cancer informatics. It is the first course in a two part course on reproducibility. It uses hands-on exercises to demonstrate in practical terms how to increase the reproducibility of data analyses.

    jhudsl/Reproducibility_in_Cancer_Informatics’s past year of commit activity
    HTML 2 MIT 1 7 3 Updated Jan 10, 2025
  • Cancer_Genome_Informatics Public
    jhudsl/Cancer_Genome_Informatics’s past year of commit activity
    CSS 0 MIT 0 4 2 Updated Jan 10, 2025
  • Dissemination_and_Engagement Public
    jhudsl/Dissemination_and_Engagement’s past year of commit activity
    CSS 0 MIT 0 4 2 Updated Jan 10, 2025
  • Cancer_Informatics_Data_Visualization Public
    jhudsl/Cancer_Informatics_Data_Visualization’s past year of commit activity
    CSS 1 MIT 0 1 2 Updated Jan 10, 2025
  • Machine_Learning_for_Cancer_Informatics Public
    jhudsl/Machine_Learning_for_Cancer_Informatics’s past year of commit activity
    CSS 0 MIT 0 4 2 Updated Jan 10, 2025
  • Adv_Reproducibility_in_Cancer_Informatics Public

    This course introduces more advanced tools to increase the reproducibility of data analyses; building upon the Intro to Reproducibility course. GitHub, Docker, Code Review, and GitHub actions are discussed.

    jhudsl/Adv_Reproducibility_in_Cancer_Informatics’s past year of commit activity
    HTML 3 CC-BY-4.0 1 8 2 Updated Jan 10, 2025
  • Informatics_Research_Leadership Public

    This course covers the pitfalls of informatics research and discusses best practices and tools to overcome the challenges of working with and managing multidisciplinary teams. It also covers guidelines to promote diversity and inclusion in your lab and research.

    jhudsl/Informatics_Research_Leadership’s past year of commit activity
    CSS 2 CC-BY-4.0 0 7 1 Updated Jan 10, 2025
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