Analytics and Data Structures using AI

DSAI Course Resources

Static teaching pages and reports for the data science course: visualization principles, storytelling examples, chart critique, and survey analysis outputs. These are meant for classroom discussion, self-study, and reuse across course runs.

Static Pages

6 course resources
Screenshot of the Principles of Data Visualization page
Visualization

Principles of Data Visualization

A teaching page on what makes a visualization excellent: clear questions, comparisons, graphical integrity, data-ink ratio, uncertainty, and responsible design choices.

Use for introducing chart design and critique.

Open resource
Screenshot of the storytelling examples page
Examples

Storytelling With Data (in Stories)

A gallery-style lesson contrasting plain data presentation with story-driven data communication, using memorable external examples and discussion prompts.

Use for live discussion about why some charts stick.

Open resource
Screenshot of the Storytelling With Data principles page
Storytelling

Storytelling With Data (Theory)

A principle-by-principle guide to turning analysis into a memorable argument: audience, claim, stakes, analytic arc, focus, annotation, and ethical persuasion.

Use before students design their own narrative chart.

Open resource
Screenshot of the Survey Differences Report page
Survey Analysis

GenWise Camp Food Survey Report

A static report from the course survey analysis, comparing groups such as Wizards vs Explorers and other response segments with charts and interpretation notes.

Use for discussing survey data, comparisons, and subgroup analysis.

Open resource

This page intentionally lists only static course resources. Interactive tools such as the points dashboard, survey entry app, and regression activities live elsewhere in the Flask app.