Course Details Textbook and Examples

Course Logistics

Instructor: Patrick Boily

Schedule: Sep 09 – Dec 07
    ■ Tuesdays, 13:00-14:30
    ■ Thursdays, 11:30-13:00
    ■ No class on Oct 26, and Oct 28

Detailed Schedule:

Zoom link (if needed)
    ■ Meeting ID: 784 099 4865
    ■ Passcode: 7RXJ9J

Instructions:
    ■ Presence Building
    ■ Weekly Tasks
    ■ Blog Article
    ■ Team Project

Samples:
    ■ Sample 1
    ■ Sample 2

Introduction to Quantitative Consulting [in progress]
    ■ Chapter 0. The Fundamentals of Data Insight (pp. 1-34)
    ■ Chapter 1. Principles of Data Collection (pp. 1-15)
        Case Study: Canadian Vehicle Use Study (pp. 16-32)
    ■ Chapter 2. The Essentials of Data Preparation (pp. 33-46)
        Case Study: Imputation of BAC in Fatal Collisions (pp. 47-55)
    ■ Chapter 3. A Primer of Data Visualization (pp. 56-75)
        Case Study: Analysis of a Double-Blind Dataset (pp. 76-97)
    ■ Chapter 4. A Review of Statistical Analysis Concepts (pp. 98-114)
        Case Study: Covariance Analysis of IBS (pp. 116-128)
    ■ Chapter 5. Machine Learning 101 (pp. 129-164)
        Case Study: Inflation Forecasting with ML (pp. 165-191)
    ■ Chapter 6. Anomaly Detection and Outlier Analysis
        Case Study:
    ■ Chapter 7. A Soft Introduction to Bayesian Data Analysis
        Case Study:
    ■ Chapter 8. Queueing Systems Methods
        Case Study: Wait Time Impact Modeling
    ■ Chapter 9. Feature Selection and Dimension Reduction
        Case Study:
    ■ Chapter 10. A Survey of Optimization Concepts
        Case Study:
    ■ Chapter 11. Introduction to Time Series and Forecasting
        Case Study:
    ■ Chapter 12. Simulations
        Case Study:

Archive of Past Project/Documents
Non-Technical Aspects of Consulting Case Studies and Other Videos

Video Lectures (4:39:33)
    ■ Introduction (1:55:04)
          1.1 – The Consulting Framework (12:08)
          1.2 – Ethical Considerations (16:01)
          1.3 – Guiding Principles (10:46)
          1.4 – Asking the Right Questions (04:45)
          1.5 – The Structure of Data (19:07)
          1.6 – Quantitative Analysis Workflow (28:48)
          1.7 – Roles and Responsibilities (14:24)
          1.8 – Consulting Cheat Sheet (09:05)
    ■ The Consulting Lifecycle (1:50:04)
          2.0 – The Consulting Life Cycle (05:27)
          2.1 – Marketing (23.37)
          2.2 – Initial Contact (02:34)
          2.3 – Meetings (07:40)
          2.4 – Assembling the Team (02:20)
          2.3 (Reprise) – Meetings (01:57)
          2.5 – Proposal and Project Planning (16:24)
          2.6 – Contracting and IP (05:17)
          2.5 (Reprise) – Proposal and Project Planning (06:00)
          2.7 – Information Gathering (09:40)
          2.8 – Analysis (03:16)
          2.9 – Interpreting the Results (02:50)
          2.10 – Reporting and Deliverables (11:54)
          2.11 – Invoicing (07:25)
          2.12 – Closing the File (03:43)
    ■ Lessons Learned (0:27:20)
          3.1 – Lessons Learned: About Clients (19:51)
          3.2 – Lessons Learned: About Consultants (07:29)
    ■ Business Development (0:26:43)
          4.1 – The Basics of Business Development (03:05)
          4.2 – Clients and Choices (04:00)
          4.3 – Building Trust (10:33)
          4.4 – Improving Trust (09:04)

Slide Decks:
    ■ Introduction
    ■ The Consulting Life Cycle
    ■ Lessons Learned
    ■ Business Development
    ■ Technical Writing

 A Conversation With… (3:43:05)
    ■ Smit Patel: IQC from a student’s perspective (17:02)
    ■ Julie Paquette: Ethics in quantitative contexts (28:20)
    ■ Youssouph Cissokho: Multi-tasking and time management (19:26)
    ■ Jen Schellinck: Consulting experience (26:57)
    ■ Maryam Haghighi: Consulting from the client’s side (24:17)
    ■ Ying Gai: Transitioning from Academia to the workplace (19:37)
    ■ Doug Munroe: Proposals and Budgeting (32:28)
    ■ Andrew Macfie: When consulting goes “kerplunk”! (29:09)
    ■ Victoria Silverman: Non-technical skills in the workplace (20:37)
    ■ Oliver Benning: Setting yourself up as a consultant (22:14)

Case Studies:
    ■ CVUS and Data Collection
    ■ BAC and Data Processing
    ■ GAC and Data Visualization
    ■ CCNM and Statistical Analyis
    ■ TC and Time Series Analysis
    ■ NWMO and Simulations
    ■ PHAC and Data Science
    ■ Telesat and Presenting Concepts

Data Science Report Series