The Data 6 Course Notes

The Data 6 course notes serve as lecture notes for Data 6: Introduction to Computational Thinking with Data Science and Society. They are built using Quarto and are available at data6.org/notes.

Course Topics¶

The course notes cover topics including:

• Introduction to programming and data types

• Arrays and NumPy

• Table fundamentals and data manipulation

• Variables in social science

• Visualizations and histograms

• Summary statistics

• Filtering and boolean predicates

• Grouping, pivots, and joins

• Functions and string methods

• Conditionals and iteration

• Measurements and reliability

• Dictionaries and file formats

• HTML and web scraping

• Introduction to computational social science

• Qualitative coding

• Generative AI

Accessing the Notes¶

The course notes are publicly available at https://data6.org/notes/.

The source code for the notes is available in the data-6-berkeley/notes repository on GitHub.

License¶

The contents of these course notes are licensed for free consumption under the following license: Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International