

Advanced Reproducibility in Cancer Informatics
- Offered byCoursera
- Public/Government Institute
Advanced Reproducibility in Cancer Informatics at Coursera Overview
Advanced Reproducibility in Cancer Informatics
at Coursera
Duration | 10 hours |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Advanced Reproducibility in Cancer Informatics at Coursera Highlights
Advanced Reproducibility in Cancer Informatics
at Coursera
- Flexible deadlines in accordance to your schedule.
- Earn a Certificate upon completion
Advanced Reproducibility in Cancer Informatics at Coursera Course details
Advanced Reproducibility in Cancer Informatics
at Coursera
Skills you will learn
More about this course
- This course introduces tools that help enhance reproducibility and replicability in the context of cancer informatics. It uses hands-on exercises to demonstrate in practical terms how to get acquainted with these tools but is by no means meant to be a comprehensive dive into these tools. The course introduces tools and their concepts such as git and GitHub, code review, Docker, and GitHub actions.
- Target Audience
- The course is intended for students in the biomedical sciences and researchers who use informatics tools in their research. It is the follow up course to the Introduction to Reproducibility in Cancer Informatics course. Learners who take this course should:
- - Have some familiarity with R or Python
- - Have take the Introductory Reproducibility in Cancer Informatics course
- - Have some familiarity with GitHub
Advanced Reproducibility in Cancer Informatics at Coursera Curriculum
Advanced Reproducibility in Cancer Informatics
at Coursera
Getting started in this course
Defining Reproducibility
Version control with GitHub
Using version control with GitHub
Code review - as an author
Code review as an author
Code review as a reviewer
Launching Docker
Launching Docker
Modifying a Docker image
Automation as a reproducibility tool
Automation
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