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