Python is a popular language widely used for data analysis and machine learning. The PhD+ Data Literacy in Python series will introduce students to programming in the language. The sessions will be taught in a "flipped classroom" manner: students will study learning materials prior to each session and come to online workshop sessions via Zoom for questions and receive instructors’ assistance with programming projects. See topics below:
- Introduction to Python
- Data types, data input and output, and organizing codes
- Data analysis and visualization
(For Fall 2021, participants will have access to pre-recorded lectures and the opportunity to meet with instructors during weekly "office hours" for questions and answers over Zoom. The whole series through lecturing, hands-on exercises, and discussions aims to help participants become familiar and comfortable in using Python for research activities and working with data. Attendees will be expected to turn in homework assignments per session in order to get credit. Upon successful completion of this series, PhD students are eligible for a non-credit credential (PhDP 9530) in their academic transcript.)