- Data Science related job research using APIs / Web Scraping
- Research Swiss and German job market
- Use common job search sites from both countries
The purpose of this project is to find Data Science (and field related) jobs using APIs and Web Scraping. The goal is to obtain a collection of job opportunities, skill-set and salary information in the Swiss and German job market. We will be using common job search sites from both countries in order to collect the raw data that could be later analyse.
- Skillset information
- Most common skills required in Data Science
- Main job keywords
- Skills depending on the level of education
- Years of experience required
- Key employers
- Education required
- Geographical information
- Which are the best cities (by number of jobs)
- Company information
- Best rated companies
- Company size
- APIs / Web Scraping
- Machine Learning
- Data Visualization
- Predictive Modeling
- Python
- D3
- Pandas, jupyter
- COMPLEMENT
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Clone this repo (for help see this tutorial).
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Raw Data is being kept [here](Repo folder containing raw data) within this repo.
If using offline data mention that and how they may obtain the data from the froup)
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Data processing/transformation scripts are being kept [here](Repo folder containing data processing scripts/notebooks)
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etc...
If your project is well underway and setup is fairly complicated (ie. requires installation of many packages) create another "setup.md" file and link to it here
- Follow setup [instructions](Link to file)
- Jose Araujo
- Claudio Benzoni
- [Vincent Zitzewitz](https://github.com/[github handle])
First commit Claudio