https://github.com/bluegranite/bluegranite-python-training
Python for Data Science Training from BlueGranite
https://github.com/bluegranite/bluegranite-python-training
data-science machine-learning python
Last synced: about 1 month ago
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Python for Data Science Training from BlueGranite
- Host: GitHub
- URL: https://github.com/bluegranite/bluegranite-python-training
- Owner: BlueGranite
- Created: 2017-08-07T14:47:13.000Z (almost 9 years ago)
- Default Branch: master
- Last Pushed: 2018-03-15T14:49:53.000Z (over 8 years ago)
- Last Synced: 2025-03-12T23:30:45.603Z (over 1 year ago)
- Topics: data-science, machine-learning, python
- Language: Jupyter Notebook
- Homepage: https://www.blue-granite.com/microsoft-r-training
- Size: 27.5 MB
- Stars: 1
- Watchers: 6
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
Python Training
Learn Python for Data Science using our 3 Day Training
This repository contains samples using Anaconda's Python 3 distribution, useful links to get started with Python, tips for implementing analytics using the Team Data Science platform shared during [BlueGranite's Advanced Analytics Workhop](http://www.blue-granite.com/advanced-analytics-workshop)
Content
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[Getting Started with Python](/python-basics/) - Sample scripts showing key features of Python
[Visualization using Matplotlib](/visualization/) - Information and samples showing various approaches to visualizing analytics with matplotlib.
[Visualization using Plotly](https://plot.ly/python/ipython-notebook-tutorial/) - Tutorials and examples for interactive visualization in Plotly.
[Machine Learning](/machine-learning/) - Introduction to machine learning algorithms in Python with scikit-learn
[SQL Server Python Services](https://docs.microsoft.com/en-us/sql/advanced-analytics/python/sql-server-python-services) - Samples showing how to use production ready analytics embedded in SQL Server
[Team Data Science](https://azure.microsoft.com/en-us/documentation/learning-paths/data-science-process/) - Description of the Team Data Science process suggested by Microsoft and tips for implementing in your own organization
[Other Useful Information](/additional-notebooks) - Additional resources and deeper information for the packages covered in the training
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For information about trying the capabilities of Python for free, check out the [Anaconda Overview](https://www.continuum.io/anaconda-overview).
Visit [BlueGranite Hands-On Labs](https://www.blue-granite.com/resources/topic/labs) for many other advanced analytics tutorials.
Want to see what else we do?
* Read our [Advanced Analytics Blog Posts](https://www.blue-granite.com/blog/topic/advanced-analytics).
* [Microsoft R and Revolution Analytics Webinar](https://www.blue-granite.com/overview-advanced-analytics-webinar-june-2016)
* Go to our [website](http://www.blue-granite.com/) to learn more!
Have questions or want us to set this up for your organization? Please [Contact Us](https://www.blue-granite.com/contact-us).
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