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Organization, Regulations, and Courses 2023-24


PBPL 40.01 Modern Statistical Computing

This course is meant to build upon your introductory programming course and to equip you with the computing literacy to conduct social science research in the age of “big data.” This has two core components. First is learning the background tools (e.g., Github; Latex; working on the command line) to conduct transparent and reproducible research. Second is learning programming skills essential for social science in the big data era, with a focus on using Python for various applied tasks as well as R for tasks like data visualization and SQL for tasks like working with the relational databases that form the backbone of many real-world government and commercial datasets.

Instructor

Haber

Cross Listed Courses

QSS 020

Degree Requirement Attributes

Dist:TAS

The Timetable of Class Meetings contains the most up-to-date information about a course. It includes not only the meeting time and instructor, but also its official distributive and/or world culture designation. This information supersedes any information you may see elsewhere, to include what may appear in this ORC/Catalog or on a department/program website. Note that course attributes may change term to term therefore those in effect are those (only) during the term in which you enroll in the course.

Offered

  • Fall