- Last Updated On
October 19, 2021
A growing interest in data science has driven a growth in data science tools development. With that comes the need to provide expertise for technical teams and business users. This guide details tools and coding languages for aspiring and current data scientists to prioritize based on the prevalence of use.
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.
Related Guides & Resources
How to Build Your Data Stack
There are a myriad of skills, tools, and methods required to collect, store, and utilize data. This guide examines a few of the critical building blocks necessary for your data practice.
Resources from Charles and Lynn Schusterman Family Philanthropies, NetHope and +5