Data Science: Methods and Applications

This course focuses on efficient organization and processing of data, data visualization and communication, statistical modeling, and machine learning, integrating concepts in responsible data science and social impact, such as bias in data collection and modeling, privacy, ethical design of data science experiments, and model interpretability. Students will apply data science techniques to real-world problems and publicly available datasets arising across the range of human inquiry.

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

OrganizationHow well the course was organized

4.15 / 5

ChallengeHow intellectually challenging students found it

4.44 / 5

AttendanceHow necessary attendance was

4.13 / 5

AssignmentsHow helpful assignments were

4.27 / 5