https://github.com/quantecon/qe_data_science_conf
QuantEcon discussion for the Berkeley Data Science x Economics conference
https://github.com/quantecon/qe_data_science_conf
Last synced: about 1 year ago
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QuantEcon discussion for the Berkeley Data Science x Economics conference
- Host: GitHub
- URL: https://github.com/quantecon/qe_data_science_conf
- Owner: QuantEcon
- Created: 2020-11-13T03:22:54.000Z (over 5 years ago)
- Default Branch: main
- Last Pushed: 2020-11-18T16:09:43.000Z (over 5 years ago)
- Last Synced: 2025-04-28T11:22:21.188Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 7.81 KB
- Stars: 5
- Watchers: 7
- Forks: 2
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Data Science x Econ Conference
QuantEcon discussion for the [Berkeley Data Science x Economics conference](https://sites.google.com/berkeley.edu/datascienceineconomics)
## Discussants
* [John Stachurski](https://johnstachurski.net)
* [Peifan Wu](https://peifanwu.weebly.com/)
* [Chase Coleman](http://www.chasegcoleman.com/)
* [Fedor Iskhakov](https://fedor.iskh.me/)
* [Thomas Sargent](http://www.tomsargent.com/)
## Schedule
### Introduction by John Stachurski
* Origins of [QuantEcon](https://quantecon.org)
* Growth of [lecture series](https://quantecon.org/lectures/)
* Spinning off libraries ([Python](https://quantecon.org/quantecon-py/), [Julia](https://quantecon.org/quantecon-jl/))
* In house publishing via [Jupinx](https://jupinx.quantecon.org/)
* To hardcopy or not to hardcopy?
* [Executable Book Project](https://executablebooks.org/en/latest/) and the move to [Jupyter Book](https://jupyterbook.org/intro.html)
### Discussion by Peifan Wu
* [Hybrid course on economics and data science](https://github.com/ubcecon/ECON323_2020) at UBC, based on [QuantEcon DataScience](https://datascience.quantecon.org/)
* Data wrangling and analysis [using Pandas](https://datascience.quantecon.org/pandas/)
* Basic machine learning and [econometric applications](https://datascience.quantecon.org/applications/ml_in_economics.html)
* Lecture notebooks on cloud-based Jupyter hub on campus: [ubc.syzygy.ca](https://ubc.syzygy.ca/)
* Student feedback, and [final project showcases](https://datascience.quantecon.org/projects.html)
### 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](https://programsandcourses.anu.edu.au/course/econ3127)
* Remote teaching using [screencasting](https://fedor.iskh.me/compecon)
* Using [Jupinx](https://jupinx.quantecon.org/) to keep track of lectures and assignment notebooks
* Using [GitHub Classrooms](https://classroom.github.com/classrooms) for interactions with the students
### Closing Discussion by Tom Sargent