Learn to create reproducible research templates using R Markdown. Master dynamic documentation for efficient workflow and sharing.
Learn to create reproducible research templates using R Markdown. Master dynamic documentation for efficient workflow and sharing.
This course focuses on creating reproducible templates for analysis and dissemination of research. Students will learn to document their work properly, allowing for easy reproduction of workflows. The course covers RStudio and R Markdown language, with active learning opportunities to build a professional online portfolio. Topics include reproducibility concepts, Open Science movement, Git and GitHub usage, R Markdown syntax for formatting reports and presentations, customizing document layouts, creating and sharing templates, and effective team collaboration. By the end of the course, learners will be able to create custom templates, organize content efficiently, and use web-publishing services for dissemination.
4.7
(18 ratings)
2,615 already enrolled
Instructors:
English
What you'll learn
Understand the concepts and importance of reproducible research
Master R Markdown syntax for creating dynamic documents and presentations
Customize document layouts for various formats (HTML, Word, etc.)
Create and share R Markdown templates for efficient workflow
Develop R packages with custom R Markdown templates
Use Git and GitHub for version control and collaboration
Skills you'll gain
This course includes:
5.7 Hours PreRecorded video
9 quizzes, 1 peer review
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This course provides a comprehensive introduction to creating reproducible templates for data analysis and dissemination. It is structured into five modules: 1) Introduction to reproducible research and dynamic documentation, covering RStudio, Git, and GitHub; 2) R Markdown syntax, document formatting, and presentation styles; 3) Customizing R Markdown templates for various document types; 4) Leveraging existing templates from scientific journals and creating R packages; 5) Team collaboration, content organization, and dissemination methods. Throughout the course, students will gain hands-on experience with R Markdown, learn to create custom templates, and develop skills in organizing and sharing their work effectively.
Introduction to Reproducible Research and Dynamic Documentation
Module 1 · 4 Hours to complete
R Markdown: Syntax, Document, and Presentation Formats
Module 2 · 4 Hours to complete
R Markdown Templates: Processing and Customizing
Module 3 · 4 Hours to complete
Leveraging Custom Templates from Leading Scientific Journals
Module 4 · 3 Hours to complete
Working in Teams and Disseminating Templates and Reports
Module 5 · 2 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructor
Expert in Chemometrics and Statistical Consulting
Dr. Melinda Higgins holds dual degrees in Chemometrics and Statistics and brings over 25 years of research experience specializing in pattern recognition, characterization, and modeling of high-dimensional, multivariate datasets. Her expertise extends to providing comprehensive statistical and data management consultation for faculty and students at all stages of research.
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4.7 course rating
18 ratings
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