Course Details Course Materials

Course Preamble

Instructor: Patrick Boily, uOttawa, Data Action Lab

Communications will be conducted through Slack. The Slack invite link will go out during the first session.

Schedule: TBD

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

Data Understanding, Data Analysis, and Data Science
    Non-Technical Aspects of Data Work
    Data Science Basics
    Data Preparation
    Data Engineering and Data Management
    Programming Primer

Software Installation:
    R
    RStudio

Supplemental Exercises and Guided Projects

References

Course Evaluation: (coming soon)

Session 1:
    01. Non-Technical Aspects of Data Work
    02. Preliminaries
    03. Conceptual Frameworks

Session 2:
    04. Data Science Ethics
    05. Analytics Workflows
    06. Getting Insight From Data

Session 3:
    07. Data Quality and Data Wrangling
    08. Missing Values
    09. Anomalous Observations

Session 4:
    10. Dimensionality and Data Transformations
    11. Data Engineering
    12. Data Management

Course Datasets:
    polls_us_election_2016
    GlobalCitiesPBI.csv
    2016collisionsfinal.csv
    HR_2016_Census_simple.xlsx
    algae_blooms.csv
    cities.txt