Introduction to Economic Modeling and Data Science

This website presents a series of lectures on programming, data science, and economics. The emphasis of these materials is not just the programming and statistics necessary to analyze data, but also on interpreting the results through the lens of economics.

This work was supported in part by the Center for Innovative Data in Economics Research (CIDER) at the Vancouver School of Economics, UBC, funded by the Canada Excellence Research Chair grant.

To get an idea of what one can do after taking this course, please take a look at previous student projects.

Chase Coleman, Spencer Lyon, Jesse Perla, More Contributors.

News

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Introduction

Course description, software installation

Python Fundamentals

Basic Python programming

Scientific Computing

Numerical and scientific methods

Pandas

The “data” in data science

Applications

Applications and statistical tools