Podcast hero

episode 16

How Computer Science & Statistics Fundamentals Can Advance Data Science in 2021

Data Science Leaders | 29:22 | August 18, 2021

Data Science Leaders: Chris Volinsky

Get new episodes 
in your inbox

Computer scientists can be fearless, pushing the limits of computational power and the scale of data we can analyze. On the flipside, statisticians can be intensely skeptical, always measuring error and bringing a critical perspective.

According to Chris Volinsky, AVP - Data Science & AI Research at AT&T, it’s these two schools of thought that combine to make data science such a powerful function in business.

In this episode, Chris shares his thoughts on how computer science and statistics fundamentals can help us continue to push data science forward. Plus, he offers advice on how to conduct all-important exploratory data analysis (EDA) effectively.

We discuss:

  • How computer scientists influenced data science
  • What statistical thought brings to the equation
  • Tips and tricks for doing EDA right

Popular episodes

Stephen Kosslyn

President, Active Learning Sciences

EPISODE 59November 09, 2023

Transforming Education with Generative AI and Active Learning

Listen Now | 41:26

Chris Lauren

SVP Product at Domino

EPISODE 58October 26, 2023

Lessons from the First GenAI Killer App

Listen Now | 45:36

Jan Zirnstein

Senior Data Science Director at Honeywell

EPISODE 57October 12, 2023

Honeywell: Delivering on the Power of Outlier Detection

Listen Now | 16:10

See why Fortune 100 data science leaders choose Domino