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BIOF 051 | Big Data Analysis made Easy

March 9, 2021 to March 12, 2021

ONLINE

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 cancelled.

Register Now

NIH Only: Reserve a Seat

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.​​

Big data has been transformative in fields ranging from cancer biology to epidemiology, and is becoming increasingly universal. However, big data analysis presents unique challenges to the researcher. In many cases, big data is simply clustered or reduced to facilitate analysis, but this can affect the accuracy/quality of any outputs. Upon completion of this workshop, students will be able to understand and apply machine learning techniques that are ideal for big data analysis tasks. Topics covered will include deep learning, self-supervised learning, and transfer learning. Students will also be able to use the Apache Spark unified analytics engine for large-scale data processing. This workshop will consist of interactive sessions on Zoom and independent study sessions during which the participants will complete tutorials and assignments. The workshop will conclude with the completion of a small project: the participants will use newly learned methods to analyze a dataset of their own choice.

Who should Attend?
Anyone who handles large datasets/may handle large datasets in the future, or who is interested in gaining valuable quantitative skills.

Prerequisite
Basic coding ability in Python, Java, or R.  

Introductory coding courses and workshops
BIOF 101 | Introductory Coding Skills
BIOF 017 | Introductory R Boot Camp
BIOF 020 | Python for Beginners
BIOF 043 | For True BeginRs

Training Rate
$1,315.00

Discounted Training Rates
$1,075.00 - NIH Community (Trainees, Employees, Contractors, Volunteers, etc.)
$1,195.00 - Academia, US Government, 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 the course each participant will receive a certificate, showing completion of the workshop and 2.8 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 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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