Juliana Freire, Professor of Computer Science and Engineering and Data ScienceExecutive Director, NYU Moore-Sloan Data Science Environment, New York, USA

Course Outline:

Lecture 1:
Urban Data: Challenges and Opportunities
Data Quality Issues
Exploring Urban Data: Usability and Interactivity

Lecture 2:
Finding Interesting Features
Using Data to Discover and Explain Data
Transparency and Reproducibility

Hands-on 1:
Data cleaning

Hands-on 2:
Exploring shadows and trees in NYC


Course Material (lab and data) at

Course Notes at

The students will have to install OpenRefine and Jupyter+a few libraries.

The instructions are in the lab descriptions in github.