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STATS 21 · STAT 21Python and Other Technologies for Data Science

Statistics · 4 units · Undergraduate lower division (0-99)

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Covers use of Python and other technologies for data analysis and data science. Focus on programming with Python and selection of its libraries: NumPy, pandas, matplotlib, and scikit-learn, for purpose of data processing, data cleaning, data analysis, and machine learning. Other technologies covered include Jupyter notebook and Git. Intended for Data Theory majors as introduction to Python language and libraries most frequently used in data science.

Letter grading.

When it runs

Checking the Schedule of Classes…

Requisites

Official UCLA wording

Enforced requisite: course 20.

BruinTree reads · Prerequisite

confidence 1.00 · from text
STATS 20

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Requires

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

STATS 21

  • STATS 20Introduction to Statistical Programming with R
    • STATS 10Introduction to Statistical Reasoning
    • STATS 12Introduction to Statistical Methods for Geography and Environmental Studies
    • ECON 41Probability and Statistics for Economists
      • MATH 31ADifferential and Integral Calculus1 more beneath
      • MATH 31BIntegration and Infinite Series
    • STATS 13Introduction to Statistical Methods for Life and Health Sciences
    • STATS 15Introduction to Data Science
    • PSYCH 100APsychological Statistics
      • STATS 10Introduction to Statistical Reasoninganother path to it
      • COMPTNG 10AIntroduction to Programming
      • PSYCH 10Introductory Psychology

1 direct requisite. Showing 12 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.

Unlocks

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

STATS 21

  • STATS 152Environmental Statistics
  • STATS C160Causal Inference for Health Data
  • MATH 156Machine Learning
    • STATS 147Data Technologies for Data Scientists
    • STATS M148Experience of Data Science
    • MATH M148Experience of Data Science
    • STATS C163Generative Data Science
    • STATS 184Societal Impacts of Data
  • STATS C167Introduction to Databases
  • STATS C267Introduction to Databases

5 courses list this as a requisite. The whole downstream is here — 10 courses over 2 levels. Every course here opens its own tree.

  • Fall 2025
  • Spring 2026
  • Fall 2026
  • Spring 2027

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