Developing a Python Version of DSCI100: Introduction to Data Science

Project Title	Developing a Python Version of DSCI100: Introduction to Data Science
Principal Investigator	Trevor Campbell
Co-Applicants	Lindsey Heagy, Assistant Professor, Department of Earth, Ocean, and Atmospheric Sciences Joel Ostblom, Assistant Professor of Teaching, Department of Statistics
Faculty	Science
Funding Year	2023
Project Summary	UBC’s introductory data science course, DSCI100, is growing rapidly in popularity. The course is currently offered only in the R programming language. Given the need to serve students from a wide variety of disciplines, we aim to develop a new version of the course that is focused on the Python programming language, which is popular in many disciplines outside of statistics. This will involve the translation, modification, and development of the textbook, Jupyter notebook worksheets, tutorial assignments, lecture slides, and quiz questions to convert them from R into Python. This project focuses on the textbook and Jupyter notebook worksheets, which will be released as open source, freely available resources online.
Project Poster	Python Translation of DSCI 100: Introduction to Data Science
Link to OER	https://python.datasciencebook.ca
Grant type	OER Implementation
Funded Amount	$13,900