Lecture notes and slides#
Web-hosted lecture notes#
The lecture notes for this course are in the process of being published as a standalone, free, online, executable book. The resulting material is intended to be useful to students and educators everywhere, not just students enrolled in this class this term. For that reason, those live in their own, separate website here, with their code in a corresponding Github repository here.
However, these are a work in progress; for many chapters they are kind of just an unorganized pile of plots rather than something coherent. Any chapters that are in that state are labeled with a big warning message at the top.
(In case you’re interested, both websites are created using Jupyter Book.)
Materials from in-class lectures and labs#
Unit 0: Introduction#
Lecture 0: slides pptx
Lab 0: slides pptx
Unit 1: Numeracy and data cleaning#
Lecture 1: slides pptx
Lab 1: (same materials as for Lab 0 above)
Unit 2: Descriptive statistics and data visualization#
Lecture 2: descriptive statistics pptx
Lab 2: data visualization pptx
Unit 3: Probability theory#
Lecture 3: probability theory pptx