Online Course – 4th Edition
June 14th-18th, 2021
REGISTRATION IS CLOSED
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This course will be taught using a combination of live (synchronous) sessions on Zoom and tasks to be completed in between live sessions on the Slack platform.
Course OverviewThis course is for individuals considering developing Shiny apps to deliver their research. Thus, the goal will be to teach the skills necessary to translate static products (your current analysis in R) to dynamic products delivered via a simple web-based graphic-user interface.
After a brief survey of the available basic tools (widgets such as slider bars, check boxes, and pick lists), we will move quickly to learn more advanced interactive features.
Activities interspersed throughout the class will provide hands-on practice with sample biological and ecological data. By the end of the course, students will have built a portfolio of example code and will have designed, constructed, and published at least one example Shiny app.
Why Shiny?
Shiny turns static data products into interactive web apps. With interactive and reactive data visualizations, your audience directly engages with your data for stronger communication and better understanding. The Shiny apps can easily be launched directly to the web via shinyapps.io or Shiny Server to be run by anyone (they don’t need to download your data or have R!).
Other Shiny examples: K-means (statistics), TreeViewer (visualization of phylogenetic trees), Word Cloud (generator of word clouds).
This course is suitable for students that already have the basic R skills to open data and run analyses or build a basic figure – but who have no or limited prior experience with Shiny.
Participants must have a personal computer (Windows, Mac, Linux) with current versions of R and R Studio installed. A list of packages to preinstall will be sent to participants before the course.
The use of Webcam and headphones are strongly recommended, and a good internet connection.
June 14th-18th, 2021
• 14:00-14:50 Open office hours
• 15:00-17:30 Teaching
• 1-hour break
• 18:30-21:00 Teaching
• 21:00-22:00 Open office hours
35 hours
This course is equivalent to 1 ECTS (European Credit Transfer System) at the Life Science Zurich Graduate School. The recognition of ECTS by other institutions depends on each university or school.
English
Places are limited to 15 participants and will be occupied by strict registration order.
Participants who have completed the course will receive a certificate at the end of it.
Click here to see the full Program
Orientation and Introduction to Shiny.
Focus on the User Interface.
Focus on Shiny Server.
More Reactivity and More Practice.
Publishing Shiny Material.
You can check the list of Ambassador Institutions. If you want your institution to become a Transmitting Science Ambassador please contact us at communication@transmittingscience.com
Discounts are not cumulative and apply only on the Course Fee. We offer the possibility of paying in two instalments (contact courses@transmittingscience.com).
5 % Discount
Former participants will have a 5 % discount on the Course Fee.
20 % Discount
20 % discount on the Course Fee is offered for members of some organizations (Ambassador Institutions). If you want to apply to this discount please indicate it in the Registration form (proof will be asked later).
40 % Discount
Unemployed scientists living in Spain may benefit from a 40 % discount on the Course Fee. If you would like to enquire about this discount, please contact the course coordinator. That would apply for a maximum of 2 places and they will be covered by strict registration order.
Transmitting Science started in 2012 to manage specialized courses and workshops we were already organizing within our own partnerships. Up to date, we have already run more than 120 advanced courses in different topics related to Life Sciences.
All the courses are self-financed with participant’s fees and we strive to keep the fees to the minimum necessary for running them.
Our courses cover a wide range of research methods and are aimed at postgraduate students, postdoctoral researchers and established academics from all over the world.
