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Course Description

Workshops generally run from 9:00am - 4:00pm.

Simultaneous access to two screens is highly recommended for adequate learning experience. Examples include two laptops, one computer with two screens, one laptop and one tablet, etc.

Overview
Creating compelling visualizations is an important aspect of biomedical research. The R programming language provides many libraries for creating beautiful figures and interactive web apps. As R is an open source project, it facilitates open science and reproducible research. R has been heavily used by bioinformaticians and data scientists for years, and has become increasingly easy to use. This course is designed to allow researchers to quickly dive into R and make visualizations for their own work. No previous experience in R is required.

Learning Objectives

  • Load and prepare data for plotting
  • Generate common scientific plots like Bar graphs, scatter plots, and heat maps using multiple plotting libraries
  • Use git, GitHub and binder to share plots
  • Use visualizations to explore new data
  • Combine multiple plots to create publication quality figures
  • Develop and receive feedback on a visualization from your own data

Prerequisite
Participants should be comfortable with basic computer skills. No previous experience in R is required, but a basic working knowledge of R would be helpful.

Recommended Materials

  • A computer that necessary software can be installed on (this requires admin access, i.e. a non-government machine) or, a computer that has R (R version >= 4.0) and Rstudio installed
  • Two monitors, or a tablet/phone + laptop/PC

Format
The course will be held over zoom. The instructor will lecture for 10-15 minutes at, followed by interactive exercises to learn the material. There will be a short (5 minutes) break every 50 minutes. All course material will be available to students for future use.

Credit
Although no grades are given for courses, each participant will receive Continuing Education Units (CEUs) based on the number of contact hours. One CEU is equal to ten contact hours. Upon completion of this course each participant will receive a certificate, showing completion of the workshop and 1.8 CEUs.

Refund Policy
Follow the link to review Workshop Refund Policy.

Notification

  • All cancellations must be received in writing via email to Ms. Carline Coote at registrar@faes.org.
  • Cancellations received after 4:00 pm (ET) on business days or received on non-business days are time marked for the following business day.
  • All refund payments will be processed by the start of the initial workshop
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To Register Click on "Add to Cart"
Section Title
Visualization with R
Type
Online Synchronous
Days
W, Th, F
Time
9:00AM to 4:00PM ET
Dates
Jan 11, 2023 to Jan 13, 2023
Schedule and Location
Contact Hours
21.0
Location
  • ONLINE
Total Cost (Includes $75 non-refundable technology fee per course)
Eligible Discounts Can Be Applied at Checkout $1,344.00
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