Developed and taught by NYU instructors, this course offers a graded, non-credit opportunity for high school students to earn an official NYU academic transcript.
The NYU GSTEM Online Data Science Course is a 12-week virtual program designed for high school juniors and seniors. Developed and taught by NYU instructors, this course provides a hands-on, data-centric introduction to modern data analysis. Students will learn to gather, process, analyze, and visualize data using Python and Jupyter notebooks. The curriculum covers interpreting data and visualizations, building and validating mathematical models, and making predictions. The course aims to enhance STEM skillsets and marketability for future research opportunities. Students will receive an official NYU academic transcript upon completion.
A typical week includes a 1.5-hour lecture on Tuesday evenings and a required weekly online lab session, with a choice between a weekday evening or a weekend morning.
This course is ideal for high school juniors and seniors with a strong academic record and demonstrated interest in STEM, particularly those looking to expand their STEM interests beyond the high school curriculum.
Virtual
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