INSH 5301 — Introduction to Computational Statistics

4 semester hoursGraduateLectureusually offered: fall, springArlington, VABostonOnlineOnlineTraditional

Introduces the fundamental techniques of quantitative data analysis, ranging from foundational skills—such as data description and visualization, probability, and statistics—to the workhorse of data analysis and regression, to more advanced topics—such as machine learning and networks. Emphasizes real-world data and applications using the R statistical computing language. Analyzing and understanding complex data has become an essential component of numerous fields: business and economics, health and medicine, marketing, public policy, computer science, engineering, and many more. Offers students an opportunity to finish the course ready to apply a wide variety of analytic methods to data problems, present their results to nonexperts, and progress to more advanced course work delving into the many topics introduced here.

Offering history

TermSectionsEnrolledCapacityFullOpen seats/section
Fall 20231192576%6.0
Spring 20241252696%1.0
Fall 20242275054%11.5
Spring 202512525100%0.0
Fall 20252275054%11.5
Spring 202612525100%0.0

Snapshots from scheduled scrapes — not live seat availability. "Full" can exceed 100% when sections over-enroll.

Meeting times

Share of recent sections by weekday: M 45% · T 0% · W 0% · Th 4% · F 0%

Common patterns: async (51% of sections), M (45% of sections), R (4% of sections) — in patterns, R means Thursday

Professors

Fall

Spring

Percentages are each professor's average share of the season's enrolled students in recent terms.

Unlocks

CNET 5311, CNET 5360, CNET 6063, CRIM 7715, INSH 7400

Courses that list INSH 5301 in their prerequisites.

Links

Official catalog (INSH course descriptions) · Student reviews on RateMyHusky · All INSH courses · Plan it at numap.app