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ECO 4351: Data Science I

Spring 2027 · 3 credit hours · 1 section · 19 open seats as of Oct 30, 2026, 1:51 AM Central

Prerequisite(s): A minimum grade of B in ECO 3347 or ECO 4347. Best practices in data collection, cleaning, manipulation, and data and code management. Methods and principles of data exploration and visualization. Unsupervised statistical learning techniques, supervised statistical learning techniques, and false discovery principles.

Professors teaching ECO 4351 in Spring 2027

Wilson Law. See their BUBooks scores and reported grades in the builder.

Sections

Build a schedule with ECO 4351

Seat counts change fast during registration. The builder checks Baylor live every time you build. Always confirm CRNs in BearWeb.