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Databases and Data Science Practicum

This course provides a hands-on introduction to extracting, transforming, and visualizing data using real-world datasets. Students learn to query databases and join datasets using SQL, and learn to summarize, visualize, and map data in R using the tidyverse. Students also gain experience with git, enhancing their ability to work in modern collaborative environments. Alongside these modules, an ongoing emphasis of the course is to practice how to be a curious, skeptical, and articulate data scientist.

Course #
APSTA-GE 2017
Credits
2
Department
Applied Statistics, Social Science, and Humanities

Professors

Yoav Bergner

Associate Professor of Learning Sciences/Educational Technology

yoav.bergner@nyu.edu