ECON 104

Data Science for Economists

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

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In-depth discussion of multivariate regression. Introduction to estimation of multivariate regression, and confidence intervals and hypothesis tests in context of multivariate regression. Discussion of instrumental variables and binary choice models. Emphasis on hands-on experience on data analytics and real data applications.

P/NP or letter grading.

Requisites

Official UCLA wording
Enforced requisites: courses 11, 103. Enforced corequisite: course 104L.

BruinTree reads · Corequisite

confidence 1.00 · from UCLA’s structured data

ECON 104L

BruinTree reads · Prerequisite

confidence 1.00 · from UCLA’s structured data

all of

Requires

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

ECON 104

ECON 11Microeconomic Theory
- ECON 1Principles of Economics
- MATH 31ADifferential and Integral Calculus
  - MATH 1Precalculus
- MATH 31BIntegration and Infinite Series

Unlocks

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

ECON 104

ECON 104LData Science for Economists Laboratory
- ECON 104Data Science for Economistsanother path to it
- ECON 144Economic Forecastinganother path to it
ECON 144Economic Forecasting

2 courses list this as a requisite. The whole downstream is here — 4 courses over 2 levels. Every course here opens its own tree.