Using a the example of some cyclist sensor data from Montréal, I'll explain how to - clean up data (fix date formatting issues, remove null values, ...) - graph the data - scrape weather data from the weather office website and look at the relationship between temperature & cyclists - aggregate the data to find out how many people bike on weekdays vs weekends - talk about possible directions to take the project (make a model using scikit-learn)