gaguilar2015 / dsca_reproducibility

Introduction to Reproducibility

Introduction to Reproducibility

Version 1.0

Course Duration

6 Hours

Course Summary

Introduction to reproducibility. What is a reproducible analytical pipeline (RAP), writing "good code" and creating a reproducible report.

Course Objective

Participants should gain an awareness of the importance of reproducibility in their work. Learners will also gain experience of linting code in Python and using parameterised reports in R markdown.

Lead Developer

Laurie L. Baker Richard Leyshon

Course Reviewer(s)

Pending

Intended Audience

Intermediate level programmers who would like to prepare their code for collaboration and improve their efficiency in producing report outputs.

Learning Objective Detail

At the end of this course participants will be able to:

• represent pipelines and identify opportunities to automate
• consider adherance to a programming style guide
• use linting software to standardise Python scripts
• use parameterised R markdown reports to improve the efficiency of report production.

Course Type

• E learning - Not Available
• Self learning - Not Available
• Face to face - Available

Skill Level

Basic familiarity with Python and R programming is assumed.

Pre requisite summary

Participants should download the Anaconda distribution to their device and should also download all course content from the given Github repository. Participants will also require R markdown installation and should test that they can successfully knit basic html documents using that package.