University of Kentucky Department of Civil Engineering
Instructor: Greg Erhardt
Course Content and Objectives
This course is designed around the Data Science Venn Diagram, as shown below (from Drew Conway) It takes applications from the transportation realm, and introduces the practical skills needed to pursue data science both in the workplace and as a research student.
Main topics to be covered include:
- Fundamentals of programming and data wrangling in Python
- Data visualization
- Applied statistical modelling and interpretation
- Identifying and perpetuating intellectually honest analysis
The syllabus is available here, along with appendices.
Acknowledgements
Many of the exercises are based on those developed by Paul Waddell and Geoff Boeing for CP255: Urban Informatics and Visualization at the University of California at Berkeley. Those materials are available from:
https://github.com/waddell/urban-informatics-and-visualization