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BIOF 085 | Intro to Data Science with Python

December 15, 2020 to December 17, 2020

ONLINE

Registration occurs on a first-come, first-served basis. Programs are open to general public. The deadline for registration is two weeks before the first day of the course.  If you are unable to register before the deadline, please email: registrar@faes.org or call 301-496-7975 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.

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NIH Only: Reserve a Seat

Overview
Scientists generate more data than ever before. It can be daunting to determine how to extract insights from a mountain of data.
Data science is a relatively new discipline that combines traditional statistics and analytics with programming to produce novel insights, intelligently automated processes, and data-driven decisions. This hands-on course will cover the basics of data science. We will leverage the Python programming language and libraries that come with the Anaconda distribution, which will put some of the most powerful and versatile tools for data analysis at your fingertips.

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.

What You Will Learn
This course will equip you with everything you need to complete a basic data science project using Python from beginning to end. Participants will be exposed to a practical, real-world use case, which will be built on throughout the course. Students will use the data from this use case to perform exploratory analysis and build their skills up to advanced analytics.

Course Outline
This course will cover the following topics:
Why Data Science with Python?
Python Primer for Data Science
Python Data Science Tools
Data Wrangling and Cleaning
Data Manipulation and Summarization
Data Visualization
Advanced Analytics and Bioinformatics
Where to Go for Help and Additional Resources

Course Requirements
We will use the Anaconda (Python 3.6 version) distribution for this course. Attendees will need a computer with Anaconda successfully installed.

General Training Rate
$1,095.00
Discounted Training Rates
$895.00 - NIH Community (Trainees, Employees, Contractors, Volunteers, etc.)
$995.00 - 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 2.1 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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