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STATS 405 · STAT 405Data Management

Statistics · 4 units · Graduate professional courses (400-499)

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Limited to Master of Applied Statistics students. Basic principles of data management, including reading and writing various forms of data, working with databases, data cleaning, validation, transformation, exploratory data analysis, and introductory data visualization and data mining techniques. Exploration of related issues of data security, ethics, and scalability.

Introduction to and use of variety of software and languages, such as Python, SQL, Stata, SAS, R. Letter grading.

When it runs

  • Spring 2026
  • Spring 2027

Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.

Requisites

UCLA lists no requisites for this course.

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About STATS 405. We read UCLA’s requisite wording by machine, and it gets things wrong.

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Requires

Everything that has to come before this course, not just the courses named in the requisite above.

Nothing — this is an entry point.

Unlocks

What this course is a requisite for, and what those courses lead to in turn.

STATS 405

  • STATS 418Tools in Data Science
  • STATS 427Applied Bayesian Statistics
  • STATS 428Applied SQL for Data Science

3 courses list this as a requisite. The whole downstream is here — 3 courses over 1 level. Every course here opens its own tree.