- Level Foundation
- Duration 20 hours
- Course by Emory University
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Offered by
About
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.Modules
Course Overview
1
Videos
- Welcome and an Introduction to the Course
1
Readings
- Course Outline and Grading Information
Getting Familiar with Reproducibility
4
Videos
- Welcome to Week 1!
- History and Importance of Reproducibility
- Dynamic Documentation and Literate Programming
- Components and Examples of Reproducibility
1
Readings
- Articles, Resources, and File Organization Examples
Getting Started with R and RStudio
1
Videos
- R and RStudio Introduction
2
Readings
- [Lecture Prep] - Links for R and RStudio
- R and RStudio Resources
Getting Started with Git and Github
4
Videos
- Git and Github - Part 1
- Git and Github - Part 2
- Git and Github - Part 3
- Creating Your First Document
1
Readings
- [Lecture Prep] - GIT and GitHub
Review
2
Assignment
- Practice
- Week 1
1
Videos
- Wrap-Up
1
Readings
- Books on Reproducibility and Tools of the Trade
Getting Familiar with R Markdown
3
Videos
- Welcome to Week 2!
- Introduction to R Markdown and the YAML Header
- R Markdown Syntax
3
Readings
- [Lecture Prep] - Links for R Markdown and YAML
- [Lecture Prep] - R Markdown File
- R Markdown Resources
Inserting Document Elements
2
Videos
- Figures, Tables, and Equations
- Images, Videos, and Footnotes
3
Readings
- Resources for Tables and Equations
- [Lecture Prep] - Media and R Markdown Files
- Resource for Embedding Videos
Presentations and Book Formats
2
Videos
- Presentation Formats
- Book Format
4
Readings
- [Lecture Prep] - R Markdown File
- Resources for the Presentation Format
- [Lecture Prep] - Link for Bookdown Demo
- Resources for the Book Format
Review
2
Assignment
- Practice
- Week 2
1
Videos
- Wrap-Up
1
Readings
- [Graded Quiz Prep] - Week 2 Instructions
Customizing Documents
4
Videos
- Week 3 Introduction
- Customizing an HTML Document
- Customizing a WORD Document
- Customizing Other Document Formats
3
Readings
- [Lecture Prep] - CSS File
- Note on MD files
- Resources for Customizing Documents
Creating a Template and Adding Parameters
4
Videos
- Working with R Packages
- Building a Document Template, Part 1
- Building a Document Template, Part 2
- Adding Parameters in a Document Template
3
Readings
- [Lecture Prep] - R Script File
- [Lecture Prep] - Code File
- Resources for Parameters and Template Development
Review
2
Assignment
- Practice
- Week 3
1
Videos
- Wrap-Up
Working with Existing Templates
3
Videos
- Week 4 Introduction
- Examples and Demo of Existing Templates
- Exploring R Packages and Their Components and Files
1
Readings
- Custom Template Packages and References
Creating Template Packages
2
Videos
- Create an R Markdown Template and Share It
- Create an R Package with an R Markdown Template
2
Readings
- Resources for Packages and Forking Repositories
- [Lecture Prep] - Code File
Review
2
Assignment
- Practice
- Week 4
1
Videos
- Wrap-Up
Organizing and Communicating Your Work
2
Videos
- Week 5 Introduction
- Organizing Components - Files, Documents, and Codes
1
Readings
- [Lecture Prep] - Code File
Distributing Your Template Package
3
Videos
- Disseminate Your Files via RPubs and GitHub
- Communicating to Your Team on How to Use Your Templates and Projects
- More Ways to Disseminate Your Files
1
Readings
- Resources on Dissemination
Review
1
Assignment
- Practice
1
Peer Review
- Week 5
1
Videos
- Wrap-Up
Auto Summary
Enhance your skills in Big Data and Analytics with "Reproducible Templates for Analysis and Dissemination" by Coursera. This foundational course focuses on effective documentation processes, enabling seamless recreation and consistency in workflows. You'll gain hands-on experience with RStudio and R Markdown, essential for building a professional portfolio. Ideal for professionals seeking to streamline their analytical tasks, the course spans 1200 minutes and offers Starter and Professional subscription options. Join to master reproducibility in your work.

Melinda Higgins