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BioTech 76 | Creating Plots, Graphs and Maps using R | 4-Day Hands On Workshop

February 12, 2019 to February 15, 2019

Registration occurs on a first-come, first-served basis. The deadline for registration is one week before the first day of the course.  If you are unable to register before the deadline, please email: training@faes.org or call 301-496-7977 for space availability. 

Register Now

Contract: SF-182

Workshops generally run from 9:00am - 5:00pm.​

Background:
R is the industry standard for creating scientific graphs and plots. There are several different R packages available for creating impressive plots, graphs and maps including plotly, ggplot2, ggvis, diagrammer - for diagrams, dygraphs - for time series data, leaflet - for plotting maps, graphviz - for graphs. This training will walk through participants in creating awesome, interactive, static, shareable plots using popular R packages.

Objectives:
Participants will get a brief hands-on introduction to the R platform, followed by hands-on walkthrough for creating several different popular plots, graphs and maps like scatter plots, density plots, correlation plots, pca plots, surface plots, dot plots, star plots, circular plots, trees, heatmaps, panel graphs, 3D graphs, network graphs. We will start from formatting data and go all the way to loading data, setting parameters, creating the images and saving the outputs.

Highlights:
Participants will work with RStudio. A copy of all the scripts used in the class to create plots, graphs and maps would be provided to the participants at the end of the training. Participants will also receive a cookbook style manual for all the hands-on exercises. After training support is also provided through exclusive members only forum.

Who should attend:

  • Researchers and academics who are aspiring to learn to create scientific plots, graph and maps using R.
  • Clinicians and biomedical students interested in learning the ways and means to visualize their data using R.
  • Scientists in program administration interested in learning the standard tools and techniques used for R based data visualization.

Prerequisites:
Participants should be comfortable with basic computer skills.

Training Rate*
$1,195.00
*10% Group discount available when 3 or more participants register together from the same 
organization

Discounted Training Rates
$695.00 - NIH Trainees (fellows, postdocs, postbacs - NIH ONLY)
$895.00 - NIH Community
$995.00 - Academia, Government, Military

 Comprehensive Binder
Contains all notes, protocols, and reference material needed. No additional books are required. 

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 the course each participant will receive a certificate, showing completion of the workshop and 2.1 CEUs.

Refund Policy 
100% tuition refund or 100% full workshop credit is available for registrations cancelled 14 or more days prior to the start of the workshop.  
50% tuition refund or 100% full workshop credit is available for registrations cancelled between 4 to 13 days prior to the start of the workshop. 
 0% refund, 100% full workshop credit is available for registrations cancelled 3 days or less prior to the start of the workshop.  

Notification
All cancellations must be received in writing via email to Ms. Carline Coote at ccoote@mail.nih.gov.
Cancellations received after hours are time marked for the following day.  
In regards to a full or partial refund or a full workshop credit, you must indicate which option you are selecting at the time of your written cancellation. 
All refund payments will be processed by the start of the initial workshop.

Suggested Accommodation
A special rate is available to all BioTech Workshop attendees. This includes complimentary continental breakfast, guest room Wi-Fi and discounted $15 parking per night. Hotel is within walking distance of the training facility   Reservations can be made online, see below. 

DoubleTree by Hilton Bethesda - Washington DC

 

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