Webinar: Breaking Data Science Open, Sep 15
Learn how to drive collaboration and data science teamwork; how to mitigate legal risk through open source assurance and appropriate package selection, and how to democratize innovation through broad access to open data science tools.
Open Data Science languages - Python and R - offer tremendous advantages over legacy, proprietary products like SAS and MATLAB. You can embrace modern innovation, attract a new generation of data scientists, and go from ad hoc analysis to production models in one platform that embraces the open source ecosystem.
But how does your enterprise make the transition without descending into anarchy? How can you embrace R, Python, and their thousands of powerful analytic packages without their accompanying legal risks? How do you see through the legacy vendor FUD and make open source work?
We are here to help - Continuum Analytics EVP Anaconda Business Unit Michele Chambers and Sr. Data Scientist Christine Doig will help you embark on your enterprise's journey to Open Data Science in their webinar: Breaking Data Science Open on September 15th.
The following topics will be discussed during the webinar:
- Drive collaboration and true data science teamwork through open data science
- Mitigate legal risk through open source assurance and appropriate package selection
- Democratize innovation through broad access to open data science tools
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