We’ve prepared a number of teaching materials related to statistics, data science, visualization, and deep learning. I try to include many examples and sketches to better understand where ideas come from. All materials should be public, contact us if you have trouble accessing anything.
Courses
- STAT 436 [Spring 2024] Statistical Data Visualization - exercises, code
- STAT 992 [Fall 2023] Statistical Data Visualization - code
- STAT 992 [Spring 2023] Multi-Omics Data Analysis
- STAT 436 [Spring 2023] Statistical Data Visualization - exercises, code
- STAT 679 [Fall 2022] Statistical Data Visualization - exercises, code, recordings
- STAT 479 [Spring 2022] Statistical Data Visualization - student portfolios, exercises
- STAT 424 [Fall 2021] Statistical Experimental Design
- STAT 479 [Spring 2021] Statistical Data Visualization
- STAT 424 [Fall 2020] Statistical Experimental Design - notes, recordings
- IFT6758 [Fall 2019] Introduction to Data Science
- Humanitarian AI Reading Group [Fall 2018 - Spring 2019]
- STAT 390 [Summer 2017] Statistical Consulting Workshop - notes
Tutorials
- DSN AI Bootcamp - ML Foundations [Fall 2024]
- BME 780 Guest Lecture - Managing Batch Effects in Biological Data [Fall 2024]
- BME 780 Guest Lecture - Multiple Testing in Quantitative Biology [Fall 2023]
- DSN AI Bootcamp - ML Foundations [Summer 2023]
- NAAMII Summer School - ML Foundations [Summer 2023]
- Is a PhD right for me? [Winter 2022] - slides
- Customizing Shiny User Interaces with HTML and CSS - Zhihao Lyu. Bootstrap and bslib 101 , Easy Solution to Build Shiny UI with Bootstrap , Intro to Browser Developer Tools . LS Lab computation tutorial series. January 2022.
- NAAMII Winter School in AI - ML Foundations [Winter 2021] [Winter 2021] - notes, exercises, binder
- R Review Session [Fall 2021] - slides.
- Computing Tricks - Debugging, Profiling, and Code Style [Summer 2021] - slides, code
- Practical Tips for Research Writing [Spring 2021] - slides
- Deep Learning IndabaX Uganda [Summer 2021] - slides
- Data Science Research Bazaar [Spring 2021] - notes
- Data Science Nigeria AI Bootcamp [Fall 2020] - notes [1, 2], recordings[1, 2]
- CCAI Climate Change 101 [Summer 2020] - recording
- McMaster Innovate 1Z03 [Spring 2020] - notes
- Deep Learning Indaba [Summer 2020] - notes [1, 2, 3, 4, 5], slides, recordings
- Nepal Winter School in AI [Fall 2019] - notes, recordings
- Variational Autoencoders Tutorial [Fall 2019]