You may want to bookmark this post and use it next time someone asks “what do you do?” You can tell them all about the #DataProducts you build as a #DataScientist, and even show them the animation!  😉

et voilà! 👇

When we talk about #DataProducts in Data Science, we're not referring to pieces of a data architecture or raw datasets. Instead, a #DataProduct is a solution that uses data to solve a specific business need or problem. Read more in our #Substack: datascienceshop.substack.com/p/what-data-pr…

It’s been 6 months since we launched the #datascienceshop project: this is why it’s needed 👇

The #DataScienceShop details the who, what, where and how of #DataScience in a #business: it relies on five roles to build four classes of Data Products using three technology environments through an iterative process that involves users and technical teams. Get the whole scoop

Building #DataProducts - the aim of #DataScience - involves not only #DataScientists but also other specialized technical people.

What is the Data Science Shop? The #DataScienceShop explains the practice of #DataScience, what it can do for your business, how it can operate in a company, and what it needs to succeed. datascienceshop.com/what-is-the-da…

The #DataScienceShop details the who, what, where and how of #DataScience in a #business: it relies on five roles to build four classes of Data Products using three technology environments through an iterative process that involves users and technical teams. Get the whole scoop

This is not ChatGPT 101, but AI Reality Check. It’s all that a non-technical decision-maker will need to know to choose AI vendors, make AI policy, fund AI startups or simply make sense of the headlines about AI.

my summer project: distill everything a non-technical decision-maker needs to know about #AI into one coherent & accessible & fun package. Right side: distill history, ideas, concepts, definitions, examples Right side: decode math into plain English concepts & analogies

end-to-end, the process to build data products, which are the essence of #DataScience 👇