qe_data_science_conf's Introduction

Data Science x Econ Conference

QuantEcon discussion for the Berkeley Data Science x Economics conference

Discussants

Schedule

Introduction by John Stachurski

Origins of QuantEcon
Growth of lecture series
Spinning off libraries (Python, Julia)
In house publishing via Jupinx
To hardcopy or not to hardcopy?
Executable Book Project and the move to Jupyter Book

Discussion by Peifan Wu

Hybrid course on economics and data science at UBC, based on QuantEcon DataScience
Data wrangling and analysis using Pandas
Basic machine learning and econometric applications
Lecture notebooks on cloud-based Jupyter hub on campus: ubc.syzygy.ca
Student feedback, and final project showcases

Discussion by Chase Coleman

Teaching data science, finance, and economics (Peking HSBC Business School)
Why companies are hiring economists
Importance of teaching software engineering (and other non-analytical tools) to non-software engineers

Discussion by Fedor Iskhakov

Computational economics course at ANU
Remote teaching using screencasting
Using Jupinx to keep track of lectures and assignment notebooks
Using GitHub Classrooms for interactions with the students

Closing Discussion by Tom Sargent

qe_data_science_conf's People

Contributors

Stargazers

Watchers

qe_data_science_conf's Issues

Discourse forum intro maybe?

Hi John, I think it might also be good to introduce the discourse forum in the general introduction part? (Just my two cents)

repository edit access

Hi John, am I supposed to make a PR from a forked repo? Or is it possible to add me here as a collaborator so I can edit directly? Thanks!

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