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 provide powerful and versatile tools for data analysis.
What You Will Learn
This course will equip you with an understanding of the tools you need to complete a basic data science project using Python.
Students will have the opportunity to apply basic statistical and machine learning methods to datasets of their choice through open-ended independent assignments. A selection of biology-specific analysis tools in Python will be introduced.
This course will give an introduction to the following topics:
- Why Data Science with Python?
- Python Primer for Data Science
- Python Data Science Tools
- Data Wrangling and Cleaning
- Data Visualization
- Statistics and Machine Learning in Python
- Bioinformatics in Python
- Where to Go for Help and Additional Resources
We will use the Anaconda (Python 3.7+ version) distribution for this course. Attendees will need a computer with Anaconda successfully installed. If attendees do not come to the pre-workshop session, they will need to complete the day 0 section on Canvas before the start of day 1.
Computer (PC or Mac) and an internet access are required. Simultaneous access to two screens is highly recommended for best learning experience.
November 01, 2021 (TBD) - Will go over Anaconda and module Installation, IDE use, and course logistics. This session is not required but highly encouraged.
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 2.1 CEUs.
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 email@example.com.
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.