This repo provides training material for researchers and data scientists to learn how Microsoft Azure can help to achieve faster, better and more reproducible research. There are individual modules covering a range of topics that can be worked through in a self-paced way. Each modules comprises a short slide deck that explains key concepts. A markdown file then contains a very detailed walkthrough, and required source and data files are also provided.
Please feel free to use this material in your own courses and training. Do let us know if you do at roa@microsoft.com
Your feedback is appreciated - please fork this repo and contribute!
If you want to report any issues we need to fix. Please log an issue.
There are several ways you can get access to Microsoft Azure for your research. Your university may already make Azure available to you, so first port of call is to speak to your research computing department. There are also other ways for you to start experimenting with the cloud:
Several free services are available for you to explore:
- Test drive the Linux Data Science Virtual Machine
- Azure Machine Learning
- Azure Jupyter notebooks
- Azure web apps
- Sign-up to a one month free trial here
For more information on the variety of resources available to researchers, refer to Microsoft Higher Education Academic Research page