About this Course

Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level

Some familiarity with R or Python and with GitHub. Learners should have completed the Introductory Reproducibility in Cancer Informatics course.

Approx. 10 hours to complete
English

What you will learn

  • Enhance reproducibility and replicability of data analyses

  • Introduction to reproducibility tools

Skills you will gain

  • Reproducibility
  • Github
  • R Programming
  • Data Analysis
  • Informatics
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Advanced Level

Some familiarity with R or Python and with GitHub. Learners should have completed the Introductory Reproducibility in Cancer Informatics course.

Approx. 10 hours to complete
English

Offered by

Placeholder

Johns Hopkins University

Syllabus - What you will learn from this course

Week
1
Week 1
25 minutes to complete

Getting started in this course

25 minutes to complete
1 hour to complete

Defining Reproducibility

1 hour to complete
Week
2
Week 2
2 hours to complete

Version control with GitHub

2 hours to complete
Week
3
Week 3
2 hours to complete

Code review - as an author

2 hours to complete
2 hours to complete

Code review -- as a reviewer

2 hours to complete
Week
4
Week 4
1 hour to complete

Launching Docker

1 hour to complete
1 hour to complete

Modifying a Docker image

1 hour to complete

Frequently Asked Questions

More questions? Visit the Learner Help Center.