Lecture Slides and Demos
Data 9 lecture materials are organized as Jupyter notebooks-usable as slide decks in class and as runnable demos for students.
Where to find them¶
Lecture folder on GitHub - notebooks grouped by topic (intro, pandas, visualization, modeling, text wrangling, and more).
Course schedule (JupyterLite) - the home page links each week to the matching lecture notebook. Use Lecture for slide decks and demos; use Textbook for assigned reading.
Topics covered¶
Lecture notebooks align with the textbook and weekly schedule, including:
Introduction and Data 8 review
Pandas I, II, and III
Text wrangling and regular expressions
Visualization I and II
Sampling
Modeling (simple linear regression through decision trees and random forests)
SQL I and II
To run a notebook locally or on your campus JupyterHub, clone the CS-9 repository and open files under content/lecture/.