1. Schellinck, J., Boily, P., The Fundamentals of Data Insights
  2. Boily, P., The Non-Technical Aspects of Quantitative Work
  3. Boily, P., Schellinck, J., Data Analysis Case Studies
  4. Maheshwari, A., Boily, P., The Joy of Data Engineering (Fall 2023)
  5. Ghashim, E., Boily, P., Basics of R for Data Analysis
  6. Boily, P., The Principles of Data Collection
  7. Boily, P., Schellinck, J., The Essentials of Data Preparation
  8. Ghashim, E., Boily, P., A ggplot2 Primer
  9. Boily, P., Davies, S. A Primer of Data Visualization
  10. Schellinck, J., Reporting with R Shiny (Winter 2023)
  11. Huang, Y., Macfie, A., Boily, P., The Basics of D3.js (Winter 2023)
  12. Boily, P., Davies, S., Schellinck, J., The Practice of Data Exploration and Data Visualization (Fall 2023)
  13. Boily, P., Schellinck, J., Machine Learning 101
  14. Boily, P., Mathematical Methods for Supervised Learning
  15. Schellinck, J., Boily, P., Spotlight on Clustering and Unsupervised Learning
  16. Leduc, O., Macfie, A., Maheshwari, A., Pelletier, M., Boily, P., Feature Selection and Dimension Reduction
  17. Cissokho, Y., Fadel, S., Millson, R., Pourhasan, R., Boily, P., Anomaly Detection and Outlier Analysis
  18. Boily, P., Macfie, A., Text Mining and Sentiment Analysis (Fall 2023)
  19. Boily, P., Macfie A., Natural Language Processing and Applications (Winter 2023)
  20. Ghashim, E., Boily, P., A Soft Introduction to Bayesian Data Analysis
  21. Patel, S., Pourhasan, R., Boily, P., Cheung, K., Deep Learning and Applications (Winter 2023)
  22. Benning, O., Fadel, S., Ostic, R., Boily, P., Reinforcement Learning and Applications (Winter 2023)
  23. Boily, P., Rezapour, M., Recommender Engines and Factorisation Methods (Winter 2023)
  24. Ather, H., Macfie, A., Boily, P., Adventures in Big Data and Distributed Computing (Fall 2023)
  25. Wang, B., Boily, P., Cheung, K., Analysis of Data Streams (Fall 2023)
  26. Haque, L., Millson, R., Park, K., Boily, P., Analysis of Network Data, with Examples (Fall 2023)
  27. Boily, P., Schellinck, J., Causal Modeling, Bayesian Networks and Applications (Winter 2023)
  28. Hagiwara, S., Boily, P., A Review of Statistical Analysis Concepts
  29. Cheung, K., Boily, P., A Survey of Optimization Methods
  30. Ghashim, E., Boily, P., The Essentials of Queueing Systems
  31. Liu, D., Boily, P., Basic Notions of Trend Extraction and Forecasting (DRAFT)
  32. Schellinck, J., Boily, P., Simulation Methods at a Glance (DRAFT)
  33. Boily, P., Overview of Probability and Statistics
  34. Boily, P., Linear Regression and Generalizations (Winter 2023)
  35. Boily, P., Sampling Methodology and Data Collection (Winter 2023)