Course Details | Datasets |
Instructor: Patrick Boily, uOttawa Schedule: Sep 04 – Dec 02 Zoom link (if needed) Projects Deadlines: 20-Sep, 04-Oct, 25-Oct, 15-Nov, 06-Dec, 13-Dec Course Notes: |
Detailed Schedule:![]() Project Datasets: |
0. Data Basics | 1. Data Visualization |
Video Lectures: (3:59:29) ■ 0.1 Data Fundamentals | Part 1 (0:39:56) ■ 0.1 Data Fundamentals | Part 2 (0:39:08) ■ 0.2 Basics of R | Part 1 (0:25:50) ■ 0.2 Basics of R | Part 2 (0:25:01) ■ 0.3 Tidyverse for Data Wrangling (0:37:44) ■ 0.4 Data Processing | Part 1 (0:34:23) ■ 0.4 Data Processing | Part 2 (0:37:27) Slide Decks: Course Notes Chapters: |
Video Lectures: (4:28:04) ■ 1.1 Data Exploration & 1.2 Pre-Analysis Visualization (1:16:00) ■ 1.3 Post-Analysis Visualization & 1.4 Visualization Catalogue (1:13:35) ■ 1.5 Grammar of Graphics & 1.6 Introduction to Dashboards (1:11:55) ■ 1.7 Graphics with ggplot2 | Part 1 (0:19:32) ■ 1.7 Graphics with ggplot2 | Part 2 (0:27:02) Slide Deck: Data Exploration and Data Visualization Course Notes Chapters: Project 1 (due date: 04-Oct) Supplementary Materials: |
2. Bayesian Data Analysis | 3. Queueing Systems |
Video Lectures: (4:06:59) Slide Deck: A Cursory Glance at Bayesian Analysis Course Notes Chapter: Project 2 (due date: 25-Oct) Supplementary Materials: |
Video Lectures: (2:39:29) ■ 3.1 Introduction & 3.2 Terminology & 3.3 Notation (0:46:05) ■ 3.4 Little’s Queueing Formula & 3.5 The M/M/c Queueing Model (00:46:16) ■ 3.6 Example: Canadian Airports (01:07:08) Slide Decks: Course Notes Chapter: Project 3 (due date: 15-Nov) |
4. Anomaly Detection and Outlier Analysis | |
Video Lectures: (5:51:03) ■ 4.1 Basic Notions and Overview (00:42:36) ■ 4.1 Basic Notions and Overview (cont.) (00:36:32) ■ 4.2 Quantitative Methods (00:52:31) ■ 4.2 Quantitative Methods (cont.) (00:34:35) ■ 4.3 Qualitative Methods (00:20:46) ■ 4.4 Anomalies in High-Dimensional Datasets (00:29:49) ■ 4.4 Anomalies in High-Dimensional Datasets (cont.) & 4.5 Outlier Ensembles (00:31:32) ■ 4.6 Anomalies in Text Datasets (00:29:16) Slide Deck: Anomaly Detection and Outlier Analysis Course Notes Chapter: Project 4 (due date: 06-Dec) |