This site brings together freely available learning resources by Patrick Boily and collaborators, including course notes, textbooks, companion materials, and selected interactive projects intended for students, instructors, and independent learners.
A few starting points for students and visitors arriving at the site for the first time.
A broad course-note and textbook series spanning foundations, statistical thinking, machine learning, data analysis, and special topics in data science and artificial intelligence.
A substantial collection of notes in real analysis, metric spaces, topology, differential forms, and selected advanced topics.
A companion volume on visual design, storytelling, accessibility, practical tools, and visualization workflows in R and Power BI.
Resources in mathematics, statistics, data science, visualization, and related teaching projects.
Volumes on data understanding, data insight, machine learning, and data analysis, with a fifth volume on advanced topics in preparation.
Course notes organized by parts and chapters, suitable for students in advanced undergraduate analysis and topology.
A standalone text with practical and conceptual guidance on visualization, design, and storytelling.
A French-language calculus text, accompanied by a dedicated video playlist for students.
An external companion site developed with H. Ather to support probability learning and exploration.
A concise resource by J. Schellinck, T. Shaeen, P. Boily, S. Davies, and J. Stroudt.
French course notes in time series analysis and forecasting, developed for classroom use.
A forthcoming work by P. Boily and J. Schellinck on quantitative consulting practice.
A bilingual data-driven mystery project developed with collaborators, combining storytelling and data inquiry.
The resources collected here include open course notes, textbooks, companion materials, and selected collaborative projects in mathematics, statistics, and data science. Many are designed for classroom use, while others are intended as supplementary references for independent study.
Several works are updated over time as courses evolve, new chapters are added, and companion resources become available. Where possible, materials are offered in multiple forms, including full PDFs, chapter-level downloads, datasets, videos, and related project pages.