STATS 131

Python and Other Technologies for Data Analysis

Statistics · 4 units · Undergraduate upper division (100-199)

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Limited to junior/senior statistics majors and minors. 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, Structured Query Language (SQL), and git.

P/NP or letter grading.

Requisites

Official UCLA wording
Requisite: course 102A.

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STATS 102A

Requires

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

STATS 131

STATS 102AIntroduction to Computational Statistics
- 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

1 direct requisite. Showing 20 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.

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