— Insight —
It's not just that it's hard to build a data science team; how the team fits into the rest of the organization is key for its success. In this post, Pardis Noorzad explores six common models for integrating a data science team into an organization, including typical benefits and drawbacks of each approach.
— Sponsored Link —
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— How-to —
In the latest post on Stitch Fix’s MultiThreaded blog, Aaron Bradley shares the thinking behind their experimentation platform, including details about what they were looking for and why they decided to build the platform in-house.
Transitioning into the tidyverse
Great two-part introduction to the tidyverse aimed at people who are already familiar with base R.
— Data Viz —
The Nightingale publication kicks off a new sports visualization section with this interview with Daren Willman. Daren is the creator of Baseball Savant and is the Director of Research and Development for Major League Baseball. He's well-known in the world of sports visualization and has useful insights for anyone interested in this space. Includes details about his process and links to notable projects.
Dash, the fastest growing framework for building analytic web applications on top of Python models, is now available for the R programming language.
— Career —
Decision intelligence is a new academic discipline concerned with all aspects of selecting between options. It brings together the best of applied data science, social science, and managerial science into a unified field that helps people use data to improve their lives, their businesses, and the world around them. Here's a field guide to get you started.