Overview
The rapid growth of the popularity of data science has resulted in the creation of a wide array of tools and technologies to support this work. This resource dives deep into ten tools and technologies for data science projects. These tools can assist organizations with developing skills, constructing models, creating projects, analyzing results, as well as deployment.
Do you have feedback on this resource?
Thank you for your feedback as we strive to curate and publish resources to help social impact organizations succeed with data.
Explore More
Related Guides & Resources
This resource explains Customer Data Platform (CDP) and how it can benefit nonprofits.
This article provides a comprehensive overview of principle of least privilege (POLP) as a concept.
How to determine whether an organization’s technologies fit its data needs
A framework for assessing whether your current data tools are meeting your organizational needs.