Podcast: The Golden Age of Data Science, featuring Gregory Piatetsky
How did a stuffed yellow elephant permanently intertwine itself in history? What is a data scientist? Why is right now the golden age for data science? Data Crunch podcast examines these questions with the help of Gregory Piatetsky-Shapiro and Ryan Henning.
I have recently talked to Ginnette Methot and Curtis Seare, who interviewed me for the Data Crunch podcast on Data Science.
Enjoy this podcast episode The Golden Age of Data Science, also on iTunes, and let me know what you think in the comments.
Transcript:
Ginette: "Over the past few years, we've seen these news flashes:
- An article in Harvard Business Review in 2014, titled: Data Scientist: the Sexiest Job of the 21st Century
- Mashable's article in 2015: So You Wanna Be a Data Scientist? A Guide to 2015's Hottest Profession
- Business Insider, 2016: Data Science was the #1 Profession as Rated by Glassdoor
- A data science industry observer, KDnuggets, 2017: Data Scientist: Best Job in America, Again, which cites the most recent Glassdoor report outlining the very top jobs in America: It turns out, four of the five top US jobs deal with data. In descending order, we find data scientist, devops engineer, data engineer, and analytics manager.
Ginette: "I'm Ginette."
Curtis: "And I'm Curtis."
Ginette: "And you are listening to Data Crunch."
Curtis: "A podcast about how data and prediction shape our world."
Ginette: "A Vault Analytics production."
Ginette: "Today is a culmination of everything we've talked about in our series on the history of data science. This is where all the contributions of Florence Nightingale, William Playfair, Ronald Fisher, Ada Lovelace, and many others come together in one place. We'll add a couple more people to this list to answer these two questions: 'What is a data scientist? And why is right now the golden age of data science?'" ...
Read the rest (or listen) at vaultanalytics or iTunes.
