Course Details Project Description, Dataset, Demos

Course Outline

Course Logistics

Instructor: Patrick Boily, uOttawa, Data Action Lab & Idlewyld Analytics
  Linked In profile
  pboily@uottawa.ca

Schedule:
  Tuesdays, 13:00-14:30, Sep 15 – Dec 08
  Thursdays, 11:30-13:00, Sep 10 – Dec 03
  No class on Oct 27, and Oct 29

Zoom link
  Meeting ID: 784 099 4865
  Passcode: 7RXJ9J

Due Dates: Sep 25, Sep 30, Oct 10, Dec 21.

Project Description

Dataset: Dropbox link (password is IQCF2020)

Samples:
  An Imputation Algorithm of BAC Levels in Fatal Collisions (Report)
  Covariance Analysis for the 2010 CCNM Pilot Study on IBS (Report)
  Covariance Analysis of IBS Study II (Report)
  Methodology of the CVUS (Extract) (Report)
  CVUS Estimates (“Dashboard”)
  Data Analysis Case Study (White Paper)
  Failure Analysis Simulation Model for the APMRD-II (Executive Summary)
  Analysis of Fluidity Indicators in Multi-Modal Supply Chain Networks (Report Summary)
  Analysis of 2015 OPFFA Data (Proposal)
  Assessment and Analysis of DFATD Consular Data (Phase 1) (Proposal)
  Consular Resource Use Data and Data System Assessment and Analysis (Proposal)
  Failure Analysis Simulation Model for the APMRD-II (Proposal Amendment)
  An old CV
  A more recent CV
  An old student CV
  A more recent student CV
  Twitter, Casual, and Formal Bios
  NWMO Phases I (Workplan)
  NWMO Phases II (Workplan)
  NWMO Tasks 1 (Workplan)
  NWMO Tasks 2 (Workplan)
  NWMO Tasks 3 (Workplan)
  Analysis of DFATD Consular Data (Workplan)
  Analysis of DFATD Consular Data (Detailed Workplan)
  Failure Analysis Simulation Model for the APMRD-II (Quality Plan)
  Failure Analysis Simulation Model for the APMRD-II (Progress Report 1)
  Failure Analysis Simulation Model for the APMRD-II (Progress Report 2)
  Failure Analysis Simulation Model for the APMRD-II (Progress Report 3)
  Provision of Services Agreement
  Python Regular Expressions and More (Notebook)

Non-Technical Aspects of Consulting Case Studies and Other Videos

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

Video Lectures (04:39:33)
   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)
  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)
  3.1 – Lessons Learned: About Clients (19:51)
  3.2 – Lessons Learned: About Consultants (07:29)
  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)

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

A Conversation With… (02:03:00)
  Julie Paquette (28:20)
  Youssouph Cissokho (19:26)
  Jen Schellinck (26:57)
  Maryam Haghighi (24:17)
  Ying Gai (19:37)
  Doug Jones (coming soon)
  Deepee Khosla (coming soon)
  Bronwyn Rayfield (coming soon)
  Smit Patel (coming soon)
  Andrew Macfie (coming soon)
  Shintaro Hagiwara (coming soon)

Data Science Report Series