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/.