STATS 133

Introduction to Text Mining Using R

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

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Limited to Statistics and Data Science Department students. Exposure to basic concepts of text data and text data analysis. Hands-on study covering use of text mining tools for purpose of data analysis. Covers basic text handling, natural language processing, clustering, classification, and statistical modeling applied on textual data.

P/NP or letter grading.

Requisites

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STATS 133

STATS 101CIntroduction to Statistical Models and Data Mining
- STATS 101AIntroduction to Data Analysis and Regression
  - STATS 10Introduction to Statistical Reasoninganother path to it
  - STATS 12Introduction to Statistical Methods for Geography and Environmental Studiesanother path to it
  - ECON 41Probability and Statistics for Economistsanother path to it
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

2 direct requisites. Showing 25 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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