Python is an open-source and increasingly popular tool for scientists. In this introductory workshop for beginners, participants will learn how to create, read, transform, and visualize data for scientific analysis. Learners will also gain skills in applying basic computer logic to scientific applications. There are no prerequisites for this course beyond college-level algebra and statistics; however, participants should be comfortable with basic computer functions. Note: this beginner’s course may be too rudimentary for scientists already comfortable with other programming languages such as R or Matlab. The workshop will include four sessions of instruction and two days of “office hours” with the instructor over the course of three weeks.
The workshop will guide learners through the following learning objectives:
Session 1 (Tuesday, 6-8:30 PM):
- Script creation and execution
- Array creation
- Two variable plotting (x-y line graphs)
- Saving plots
- (Homework #1)
Session 2 (Thursday, 6-8:30 PM):
- Data transformation and manipulation
- Reading data from a file
- Logic statements
- Saving data to a file
- Handling missing data in files
- (Homework #2)
Session 3 (Tuesday, 6-8:30 PM):
- Simple linear model (e.g. time series analysis)
- Advanced visualizations: scatterplots, bar charts
- (Homework #3-start of simple COVID-19 visualization project of Session 4)
Session 4 (Thursday, 6-8:30 PM):
- Statistics in Python
- Customizing visualizations: titles and subtitles, axes labeling, colors
- Finalize visualization project
Session 5 & 6 (Tuesday and Thursday, 6-8:30 PM):
- Real world biological concepts such as a deeper exploration (e.g., COVID-19 data, population modeling)
- A capstone where learners would visualize their own data or data I would provide.
Virtual office hours will be held Wednesdays 6-8 PM between Sessions 1 & 2, 3 & 4, and 5 & 6.
Basic computer skills, including where to quickly find specific directories and files
macOS, Windows, Linux
Install Anaconda distribution of Python
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.
This workshop applies toward the Bioinformatics Curiosity digital badge.
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 firstname.lastname@example.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.