BIOF 098 | Statistical Analysis using R: Hands-on training

July 8, 2020 to July 10, 2020

ONLINE

REGISTRATION IS CLOSED.

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: registrar@faes.org or call 301-496-7977 for space availability. 

NIH Fellows or NIH community members being sponsored by their lab and awaiting payment authorization can tentatively hold a seat using the “Reserve A Seat” option. FAES must receive payment within 7 business days after reserving a seat or 3 business days before the start of the workshop, which ever comes first. If payment is not received in this time frame, your reservation will be canceled.

Workshops generally run from 9:00 AM - 5:00 PM.​

Background
Data is everywhere. Every biologist has some kind of data. Data can be modeled, managed, transformed, analyzed, mined, explored and visualized using several different methods and tools. But, statistical methods are the most popular way to analyze data. And, R is the popular platform to perform statistical analysis.

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.

Objectives
This Hands-on training will help participants to learn to perform basic statistical analysis using the R platform. First, participants will learn to use the R and RStudio software platforms. Then, with a short introduction to basic statistical concepts, participants will do hands-on exercises to perform basic statistical analysis using the R platform.

Who should attend

• Clinicians, Researchers and Academics who have data to manage, clean, analyze, visualize and explore.
• Program administrators who are interested in getting a firsthand experience working with the popular R platform for data analysis.

Hands-on Skills/Tools taught

1. Introduction to R, RStudio
   
   1. Data Types in R
   2. Data import
   3. Variables
   4. Operators
   5. Looping
   6. Functions
   7. Scripts
   8. Basic plots
2. Statistical analysis using R
   
   1. Distributions
   2. Measures of central tendency
   3. Measures of variability
   4. Correlation
   5. Regression
   6. Statistical inference

Highlights

• Cloud-based, high performance computing platform
• Training provided by active NIH researchers
• Cookbook style bound manual for all exercises
• Continuing Education Credits

General Training Rate
$1099.00
Discounted Training Rates
$550.00-NIH Trainees(Fellows, PostDocs, PostBacs working at any NIH Campus ONLY)
$795.00-NIH Community (Working, Appointed, or Assigned to any NIH Campus ONLY)
$899.00-Academia, US Government, US Military

Refund Policy
100% tuition refund for registrations canceled 14 or more calendar days prior to the start of the workshop.
50% tuition refund for registrations canceled between 4 to 13 calendar days prior to the start of the workshop.
No refund will be issued for registrations canceled 3 calendar 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 registration@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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