Hi friends,

In the past few months, I have been consuming a lot of content on the topic of venture capital (books, podcasts, articles, newsletters, etc.). As a data practitioner and startup operator, I’m eager to learn more about what investors look for when evaluating potential investments in the data/ML infrastructure/tooling space.

A major part of this learning journey has been meeting and making new venture friends! I got connected with Morgan Mahlock a few months back and came across her comprehensive guide on venture resources. Morgan has a unique background studying product design and mechanical engineering and making investments for the U.S. intelligence and defense community (and now, she leads product strategy for a data startup!).

Morgan and I decided to collaborate on this post, which is designed as a primer for anyone diving into the data ecosystem. The range of resources (newsletters, communities, podcasts, and more) should provide learning mechanisms suitable for data-inquisitive minds at all stages of their journey.

Inspired by Lea Boreland (one of Morgan’s collaborators) and her post that shares Lea’s Library, Morgan and I have built a living site for data resources in Notion. Feel free to check it out (and contribute) below!! 👇

A Beginner’s Guide to Data

Please hit the ❤️ button below if you enjoyed this post!!

Note: This is cross-posted on Morgan’s Substack newsletter.