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.
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Reproducible Templates for Analysis and Dissemination
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Instructor: Melinda Higgins
Sponsored by Coursera Learning Team
2,754 already enrolled
(18 reviews)
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9 assignments
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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
Instructor
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Learner reviews
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Reviewed on Feb 22, 2018
Perfect amount of info for beginner and/or intermediate R user who has not taken full advantage of its capabilities (yet)
Recommended if you're interested in Data Science
Microsoft
Tsinghua University
University of California San Diego
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