It’s time to experiment with Data Science at home. Since we are still dealing with our hosting service, consider the first episode purely experimental, even though the content might be of your interest, no matter what.
Nov 2017
107: Charting a Career in Energy Analytics
In this episode of the SuperDataScience Podcast, we will listen to the Data Scientist at Utopus Insights, Gabor Solymosi. You will hear about survival analytics, you will learn how to find the freedom to work remotely, and also, you will get to know more about Text analytics.
If ... Show More
1h 1m
Dec 2017
Artificial Intelligence, a Podcast Approach
<p class="p1"><span class="s1">This episode kicks off the next theme on Data Skeptic: artificial intelligence.<span class= "Apple-converted-space"> </span> Kyle discusses what's to come for the show in 2018, why this topic is relevant, and how we intend to cover it.</span></p>
33m 17s
Apr 2017
041: An Inspiring Journey from a Totally Different Background to Data Science
In this episode of the SuperDataScience Podcast, I chat with Aspiring Data Scientist Nicholas Cepeda. You will be able to discover the many different pathways in Data Science, learn R from a SQL background and hear about SAS Enterprise Miner.
If you enjoyed this episode, check o ... Show More
49m 18s
Nov 2021
A Culture of Experimentation
<p>How can organizations become more experimental? Julia Dhar, the cofounder and leader of BeSmart, BCG’s behavioral economics and insights initiative, says identify a big problem, start small, and do not overly worry that academics may criticize your experiment. As a bonus, Dhar ... Show More
22m 29s