November 17, 2020 to November 19, 2020
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: email@example.com 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 cancelled.
Workshops generally run from 9:00am - 5:00pm.
Simultaneous access to two screens is highly recommended for best learning experience. Examples include one computer with two screens, two computers, one laptop and one tablet, etc.
Statistical analyses are regularly required for nearly every quantitative scientific study. Although simple data analysis tools are tenable for small-scale analyses, more rigorous software can enhance analysis replicability, improve data management, and facilitate more advanced analysis techniques in addition to scaling up to larger datasets. One such program, R is a free, open-source software that is standard for data analysis across numerous fields. This course will provide an introduction for using R to perform statistical analyses.
Upon completing the workshop, attendees will have the confidence, knowledge, and resources to
- Create R projects to organize data and code
- Write R scripts to perform full data analysis starting from raw data, including:
- Importing, editing, cleaning, and summarizing data in R
- Performing diagnostic tests, including making diagnostic plots
- Conducting statistical analyses
- Creating basic plots to demonstrate statistical findings
- Find and understand online resources to learn more about R functionalities
Researchers who understand statistical concepts and have perhaps conducted analyses using Excel, SPSS, or similar and/or have taken BIOF 097, but have little to no experience using R.
BIOF 097 | Practical Scientific Statistics
General Training Rate
Discounted Training Rate
$895.00 - NIH Community (Trainees, Employees, Contractors, Volunteers, etc.)
$995.00 - Academia, US Government (Non-NIH), US Military
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 2.1 CEUs.
100% tuition refund for registrations cancelled 14 or more calendar days prior to the start of the workshop.
50% tuition refund for registrations cancelled between 4 to 13 calendar days prior to the start of the workshop.
No refund will be issued for registrations cancelled 3 calendar days or less prior to the start of the workshop.
All cancellations must be received in writing via email to Ms. Carline Coote at firstname.lastname@example.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.