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Data Science Translation: Writing, Speaking, and Visualization

The goal of this course is to learn how to effectively, honestly, and persuasivelycommunicate about empirical research. Students develop competencies in writing, visualization, and oral presentation of technical material to both technical and lay audiences. Students learn practical strategies with ample opportunity to practice new skills. Assignments and discussion emphasize and explore the tension between concision and accuracy. Students receive feedback from the instructor, peers, and exemplars of intended audiences (e.g. employers who hire data scientists).

Course #
APSTA-GE 2355
Units
3
Department
Applied Statistics, Social Science, and Humanities

Professors

Jennifer Hill

Professor of Applied Statistics; Director of PRIISM; Co-Director of A3SR MS Program

jennifer.hill@nyu.edu