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BIOF 051 | Big Data Analysis made Easy

December 8, 2020 to December 11, 2020

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 proved transformative in fields ranging from single-cell RNA sequencing to literature database mining, and is becoming increasingly universal.  However, big data analysis presents unique challenges to the researcher. In most cases, the data is simply clustered or reduced to facilitate any analysis, but this can severely affect the accuracy/quality of any outputs. This workshop will cover 3 main areas relating to projects involving big data. (I) A discussion of the data preprocessing and machine learning techniques which are ideal for big data analysis (i.e. neural networks, reinforcement learning, other common optimization techniques). (II) An introduction to parallel/concurrent programming and distributed algorithms, covering how researchers can drastically improve performance on large datasets without difficulty or expensive resources. (III) An introduction to using practical tools which simplify big data analysis (Biowulf, Apache Spark, Pytorch CUDA, etc.)

 

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 

 

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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