APEC 8222: Big Data Methods in Economics

2 Credits

Challenges, techniques, and opportunities presented by data that has one or more of the following characteristics: large, unstructured, high frequency, variable quality. The course will consist of three parts: 1) computational tools for applying standard econometric techniques on large datasets, 2) extracting summary information from unstructured data (e.g. images, text) for use in econometric analysis, 3) application of statistical learning techniques (e.g. classifiers, regression trees, machine learning) and the role of such techniques in causal inference. prereq: APEC 5031 or equivalent; APEC 8221 or equivalent programming experience.

View on University Catalog

All Instructors

A Average (3.873)Most Common: A (85%)

This total also includes data from semesters with unknown instructors.

53 students
SNFDCBA
  • 4.58

    /5

    Recommend
  • 4.29

    /5

    Effort
  • 4.61

    /5

    Understanding
  • 4.63

    /5

    Interesting
  • 4.54

    /5

    Activities


      Contribute on our Github

      Gopher Grades is maintained by Social Coding with data from Summer 2017 to Fall 2023 provided by the Office of Institutional Data and Research

      Privacy Policy