This course will assist you with recreating work that a previous coworker completed, revisiting a project you abandoned some time ago, or simply reproducing a document with a consistent format and workflow. Incomplete information about how the work was done, where the files are, and which is the most recent version can give rise to many complications. This course focuses on the proper documentation creation process, allowing you and your colleagues to easily reproduce the components of your workflow. Throughout this course, you'll receive helpful demonstrations of RStudio and the R Markdown language and engage in active learning opportunities to help you build a professional online portfolio.
Reproducible Templates for Analysis and Dissemination
Instructor: Melinda Higgins
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There are 5 modules in this course
This module provides an introduction to the concepts surrounding reproducibility and the Open Science movement, RStudio and GitHub, and foundational cases and authors in the field.
What's included
11 videos6 readings2 assignments
This module explores the R Markdown syntax to format and customize the layout of presentations or reports and will also look at inserting and creating objects such as tables, images, or video within documents.
What's included
8 videos11 readings2 assignments
This module goes further with R Markdown to help turn documents, reports, and presentations into templates for easier automation, reproducibility, and customization.
What's included
9 videos6 readings2 assignments
This module delves into custom templates available for websites, books, and scientific publishers, such as Elsevier and the IEEE, with the chance to create your first R Package.
What's included
6 videos3 readings2 assignments
This module focuses on helpful tips for sharing and using the templates you create, as well as methods for organizing content. We'll also look at a few web-publishing services.
What's included
6 videos2 readings1 assignment1 peer review
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Recommended if you're interested in Data Analysis
Yonsei University
Amazon Web Services
University of California San Diego
Johns Hopkins University
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