Data Science in a Box

Author

Dr. Joscelin Rocha-Hidalgo

Published

April 22, 2025

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Excerpt from site: The core content of the course focuses on data acquisition and wrangling, exploratory data analysis, data visualization, inference, modelling, and effective communication of results. Time permitting, the course also introduces additional concepts and tools like interactive visualization and reporting, text analysis, and Bayesian inference. Data Science in a Box contains the materials required to teach (or learn from) the course described above, all of which are freely-available and open-source. They include course materials such as slide decks, homework assignments, guided labs, sample exams, a final project assignment, as well as materials for instructors such as pedagogical tips, information on computing infrastructure, technology stack, and course logistics.

  1. Link to site: https://datasciencebox.org/
  2. Link to repo: https://github.com/rstudio-education/datascience-box

Logo showing a 3D cube. The top face is yellow and reads “Data Science,” the right face is pink and reads “In a Box,” and the left face is light blue with a pair of cartoon eyes peeking out from behind black glasses.

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