POLI2300 · Political Science

Introduction to Data Science

Morrissey College of Arts & Sciences

Numerical ratings

3.3 / 5Course rating

From 2 rating records
Across 1 instructor

Older rating records summarize course sections and may have no written feedback. New reviews add ratings and a comment. How scores work

Written reviews 0

Write a review

No written reviews yet

Numerical ratings and written feedback are separate. Be the first to share what you wish you’d known before taking this course.

Who teaches this? 1

Both ratings are out of 5, for each instructor’s sections of POLI2300.

Maria Krupenkin

Assistant Professor, Political Science Department

2 evaluations for this course

Instructor: 3.3
Course: 3.3

All 1 instructors · Sort & filter

1 of 1 instructors

Maria Krupenkin

Assistant Professor, Political Science Department

2 evaluations for this course

Instructor: 3.3
Course: 3.3

About this course

Do YOU want to be the next Nate Silver? Data science has transformed many of the ways we engage with politics, from sophisticated voter turnout operations to the ubiquity of data journalism. This course will introduce students to the basic techniques of data science including data visualization, hypothesis testing, and simple linear regression. Students will learn how to use the R statistical software to analyze political data. This is an introductory class; no math or statistics background is necessary.

All evaluation ratings

Averages use numerical 1–5 ratings, including the ratings submitted with new anonymous reviews.

OrganizationHow well the course was organized: 3.92 / 5
ChallengeHow intellectually challenging students found it: 4.45 / 5
AttendanceHow necessary attendance was: 3.38 / 5
AssignmentsHow helpful assignments were: 4.04 / 5

Weekly effort: ~5 hours

Estimated from the original workload response buckets. Individual sections may differ.

Evaluation history Browse all evaluations

Evaluation history 2 terms

All available terms for POLI2300. Numerical averages use the five-point scale.
Term	Evaluations	Course rating	Instructor rating
Spring 2025	1	3.0	2.9
Spring 2023	1	3.5	3.7