1. Schellinck, J., Boily, P., The Fundamentals of Data Insights (Fall 2020)
  2. Schellinck, J., Boily, P., An Introduction to Data Analysis (Fall 2020)
  3. Boily, P., Schellinck, J., Data Analysis Case Studies
  4. XXX, X., YYY, Y., 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., The Essentials of Data Preparation
  8. Ghashim, E., Boily, P., A ggplot2 Primer
  9. Boily, P., Data Visualization and Representation, with Examples (DRAFT)
  10. Boily, P., Tufte’s Fundamental Principles of Analytical Design
  11. Pelletier, M., Boily, P., Dashboards and Data Visualization, with Examples
  12. Schellinck, J., Reporting with R Shiny (Winter 2021)
  13. Huang, Y., Macfie, A., Boily, P., The Basics of D3.js (Fall 2021)
  14. Boily, P., Davies, S., Schellinck, J., The Elements of Data Exploration and Data Visualization (Fall 2021)
  15. Boily, P., Schellinck, J., Machine Learning 101 (Fall 2020)
  16. Boily, P., Schellinck, J., Ghashim, E., Leduc, O., Spotlight on Classification (Fall 2020)
  17. Schellinck, J., Boily, P., Macfie, A., Maheshwari, A., Spotlight on Clustering (Fall 2020)
  18. Leduc, O., Macfie, A., Maheshwari, A., Pelletier, M., Boily, P., Feature Selection and Dimension Reduction
  19. Cissokho, Y., Fadel, S., Millson, R., Pourhasan, R., Boily, P., Anomaly Detection and Outlier Analysis
  20. Boily, P., Macfie, A., Text Mining and Sentiment Analysis (Summer 2021)
  21. Boily, P., Macfie A., Natural Language Processing and Applications (Summer 2021)
  22. Ghashim, E., Boily, P., A Soft Introduction to Bayesian Data Analysis
  23. Patel, S., Pourhasan, R., Boily, P., Cheung, K., Deep Learning and Applications (Winter 2021)
  24. Benning, O., Fadel, S., Ostic, R., Boily, P., Reinforcement Learning and Applications (Fall 2020)
  25. Boily, P., Rezapour, M., Recommender Engines and Factorisation Methods (Winter 2021)
  26. Ather, H., Macfie, A., Boily, P., Adventures in Big Data and Distributed Computing (Fall 2021)
  27. Wang, B., Boily, P., Cheung, K., Analysis of Data Streams (Fall 2021)
  28. Haque, L., Millson, R., Park, K., Boily, P., Analysis of Network Data, with Examples (Fall 2021)
  29. Boily, P., Macfie, A., Millson, R., Schellinck, J., Bayesian Networks and Applications (Winter 2022)
  30. Hagiwara, S., Boily, P., A Review of Statistical Analysis Concepts
  31. Cheung, K., Boily, P., A Survey of Optimization Methods (DRAFT)
  32. Ghashim, E., Boily, P., The Essentials of Queueing Systems
  33. Liu, D., Boily, P., Basic Notions of Trend Extraction and Forecasting (DRAFT)
  34. Schellinck, J., Boily, P., Simulation Methods at a Glance (DRAFT)