ALY 4000 — Analytics Using R

3 semester hoursUndergraduateLectureusually offered: fallOnlineOnline

Offers an overview of analytics concepts and practices across a diverse range of organizational contexts. Introduces data structure and management using R and SQL R packages. Leverages big data using Hadoop, Spark, and R scripting. Engages students in discussions on analytics careers and their ethical considerations. Introduces the basics of business strategies for big data analytics through a final project.

Prerequisites

all of:
- ALY 2010 (min D-)
- ITC 2300 (min D-)

Offering history

Term	Sections	Enrolled	Capacity	Full	Open seats/section
Fall 2025	1	7	30	23%	23.0

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 0% · T 0% · W 0% · Th 0% · F 0%

Common patterns: async (100% of sections) — in patterns, R means Thursday

Professors

Fall

Venkata Duvvuri (100% of students)

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

Unlocks

ALY 4850

Courses that list ALY 4000 in their prerequisites.

Links

Official catalog (ALY course descriptions) · All ALY courses · Plan it at numap.app