Girls in Data Science Camp
The Girls in Data Science Summer Camp at UBC aims to expose participants to a variety of topics in data science and statistics. This camp is offered for girls and other gender minorities in grades 8-12. All material is open source and is available at https://github.com/katieburak/girls-in-DS.
General Information
2027 registration is now open! Register here.
- Dates: July 6-8, 2027
- Time: 10am-3pm
- Location: UBC Vancouver Campus
- Instructor: Katie Burak (Contact: kburak@stat.ubc.ca)
- Mentors:
Lunch will be provided each day for the participants.
Topic Overview
| Day | Topics |
|---|---|
| Day 1 | Introduction to data science, basics of Jupyter and R, data wrangling and data visualization |
| Day 2 | Measures of central tendency and spread, statistical inference and sampling, observational studies vs. experiments |
| Day 3 | Machine learning fundamentals, answering predictive questions (regression, classification) |
A Jupyter notebook of the material is available here.
References
- Data Science: A First Introduction
- Modern Dive
- Mathematics for the Liberal Arts - Module 10: Statistics: Collecting Data
- Certain content (particularly some of the teaching material) comes from UBC’s DSCI 100 - Introduction to Data Science course.
License
License © 2026 Katie Burak, Jenny Lee and Mona Zhu
Software licensed under the MIT License, non-software content licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) License. See the license file for more information.
Thank you to UBC’s Department of Statistics, Master of Data Science Program, Data Science Institute and PIMS for helping to make this event possible.
