经济学中的数据科学

Econ5181: Data Science for Economists

Spring 2025

• Time: Friday 9:30am – 12:15pm
• Venue: Room 202, Esther Lee Building

Introduction

The is a data science course with applications to economic problems. The data operations and analytics will be demonstrated mainly in python (and R for some particular econometric methods). After completing this course, students are expected to be fluent in a data science programming language and be able to independently conduct data analysis.

This course is design for students with economics training while are new to heavy duty data tasks. Programming experience is helpful, but not prerequisite.

This repository contains all the slides and the accompanying data and scripts (in the folder data_example).

Textbooks

• Wes McKinney (2022): Python for Data Analysis.

• [ISLR] James, Gareth., Witten, Daniela., Hastie, Trevor., & Tibshirani, Robert. (2017). An introduction to statistical learning (Vol. 112, p. 18). New York: springer. (Open access at https://www.statlearning.com/)

• Arthur Turrell: Coding for Economists.

Environments

• CUHK SCRP

License

This work is licensed under Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.

Reading

To be fill as the course progresses

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