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 2022)
  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 2022)
  11. Huang, Y., Macfie, A., Boily, P., The Basics of D3.js (Winter 2022)
  12. Boily, P., Davies, S., Schellinck, J., The Practice of Data Exploration and Data Visualization (Fall 2022)
  13. Boily, P., Schellinck, J., Machine Learning 101
  14. Boily, P., Mathematical Methods for Supervised Learning
  15. Schellinck, J., Boily, P., Macfie, A., Maheshwari, A., Spotlight on Clustering (Winter 2022)
  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 2021)
  19. Boily, P., Macfie A., Natural Language Processing and Applications (Winter 2022)
  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 2022)
  22. Benning, O., Fadel, S., Ostic, R., Boily, P., Reinforcement Learning and Applications (Winter 2022)
  23. Boily, P., Rezapour, M., Recommender Engines and Factorisation Methods (Winter 2022)
  24. Ather, H., Macfie, A., Boily, P., Adventures in Big Data and Distributed Computing (Fall 2022)
  25. Wang, B., Boily, P., Cheung, K., Analysis of Data Streams (Fall 2022)
  26. Haque, L., Millson, R., Park, K., Boily, P., Analysis of Network Data, with Examples (Fall 2022)
  27. Boily, P., Schellinck, J., Causal Modeling, Bayesian Networks and Applications (Winter 2022)
  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 2022)
  35. Boily, P., Sampling Methodology and Data Collection (Winter 2022)