As data science goes mainstream, so does its language
“When [Netflix’s data science team] started, there was one single kind of data scientist,” says Christine Doig, director of innovation for personalized experiences at Netflix. “Now the role has been integrated into the organization.” This isn’t just a Netflix thing. Across all industries, enterprises are embracing data science to craft personalized, engaging experiences, optimize pricing, and more. As they do so, they’re expanding the use of data science into product management, marketing, and other areas.This is why the language that organizations use to decipher their data will increasingly be Python, not R. As organizations look to a more diverse group to help with data science, Python’s mass appeal makes for an easy on-ramp.To read this article in full, please click here
“When [Netflix’s data science team] started, there was one single kind of data scientist,” says Christine Doig, director of innovation for personalized experiences at Netflix. “Now the role has been integrated into the organization.” This isn’t just a Netflix thing. Across all industries, enterprises are embracing data science to craft personalized, engaging experiences, optimize pricing, and more. As they do so, they’re expanding the use of data science into product management, marketing, and other areas.
This is why the language that organizations use to decipher their data will increasingly be Python, not R. As organizations look to a more diverse group to help with data science, Python’s mass appeal makes for an easy on-ramp.