Spring 2019

Intro to Data Science with Astronomical Applications

Listed in: Physics and Astronomy, as ASTR-200

Moodle site: Course


Kate Follette (Section 01)


The purpose of this course is to introduce data analysis and visualization techniques that will allow students to excel in further coursework in astronomy and other STEM majors. Students will be introduced to how to use the Python programming language to analyze and manipulate data; how to create, interpret, and present visualizations of those data; and how to apply statistical analysis techniques to data. We will sharpen these skills through the lens of astronomical data collection and analysis, though the skills themselves are applicable in many other fields.

Recommended requisite: ASTR 111 or 112 and COSC 111. Limited to 20 students. Spring semester. Professor Follette.

If Overenrolled: Preference first to sophomores, then first-years, then juniors, then seniors, with special preference within each year to majors in astronomy, physics, then other STEM disciplines, others

Cost: 75 ?


Attention to Research, Attention to Speaking, Lab Science Course, Quantitative Reasoning


2020-21: Not offered
Other years: Offered in Spring 2017, Spring 2019