Course Description

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.

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.

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.


Click in the Box Below for Schedule and Fee Information. Then Click on "Add to Cart" to Register.

Section Title
Introduction to Data Science Using Python
W, Th, F
9:00AM to 5:00PM
Jul 21, 2021 to Jul 23, 2021
Schedule and Location
Contact Hours
Fee (Includes Tuition and Technology Fee)
Eligible Discounts Can Be Applied at Checkout $1,250.00
Drop Request Deadline
Jul 14, 2021
Transfer Request Deadline
Jul 14, 2021
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