November 3, 2020 to November 17, 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.
This workshop will be held live on November 3, 10, 17, 2020 (5:30PM-8:00PM)
Overview
This workshop builds upon the principles of using R for data science by introducing intermediate concepts that will help learners advance their knowledge and use R for more complex tasks. These tasks include working with APIs and packages to access data on remote servers, iterating tasks over datasets, and writing custom functions. The workshop will include three two-hour sessions with the following learning objectives:
- After Session 1: Iteration, learners will be able to:
- Use the apply family to repeat functions over multiple data objects;
- Use if/else statements for conditional functions;
- Use case_when to vectorize multiple if/else statements;
- Use for loops to repeat functions.
- After Session 2: Accessing Data, learners will be able to:
- Understand how to use APIs to access data;
- Use packages to access data on remote servers and via APIs;
- Write code to interact directly with APIs.
- After Session 3: Custom Functions, learners will be able to:
- Understand when to create a custom function;
- Write custom functions to carry out complex tasks;
- Troubleshoot and debug functions.
Continue Learning:
BIOF 019 | Designing Effective Data Visualizations in R
Prerequisites
Basic knowledge of coding in R
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.
General Training Rate
$765
Discounted Training Rate
$625.00 - NIH Community (Trainees, Employees, Contractors, Volunteers, etc.)
$695.00 - Academia, US Government (Non-NIH), US Military
Technology Fee
$60.00
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 0.7 CEUs.
Refund Policy
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.
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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