25 min listen
Data Science Happy Hour 32 | 14MAY2021
Data Science Happy Hour 32 | 14MAY2021
ratings:
Length:
75 minutes
Released:
May 16, 2021
Format:
Podcast episode
Description
Vote in the data community content creators awards! http://bit.ly/data-creators-awards
Check it out and don't forget to register for future office hours: http://bit.ly/adsoh
Register for Sunday Sessions here: http://bit.ly/comet-ml-oh
Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm
Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job
Highlights from this episode
[00:02:30] Vin tells us about his crazy week
[00:03:40] How do you best prioritize things you're working on?
[00:18:00] Cryptocurrencies, Elon Musk, and investing
[00:26:34] Do different strategies, along with the sentiments that are playing around, affect how a certain crypto value is going to scale from time to time?
[00:31:41] What are some things that you would do to set yourself up for success when moving to an engineering team for the first time in your career?
[00:35:31] How to communicate with engineers
[00:39:37] Focus on delivering something right away that's going to show your value, even if it's just something small that you think you can do in a week.
[00:42:02] Learning new tools is the easiest part. Forging new relationships, managing these relationships, and maintaining them…that's what you want to focus on
[00:44:11] Should data scientist act with more logic than emotion? What is that balance between logic and emotion?
[00:53:19] Statistics is not actually a super hard science.
[00:55:18] You have to understand that there's a lot of people that are like me that don't have natural empathy
[01:01:55] Jennifer shares some great news!
[01:03:44] Learning Java
Special Guests: Greg Coquillo, Mikiko Bazeley, Santona Tuli, PhD, and Vin Vashishta.
Check it out and don't forget to register for future office hours: http://bit.ly/adsoh
Register for Sunday Sessions here: http://bit.ly/comet-ml-oh
Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm
Checkout the interview I had with the Super Data Science Podcast: https://www.superdatascience.com/podcast/landing-your-data-science-dream-job
Highlights from this episode
[00:02:30] Vin tells us about his crazy week
[00:03:40] How do you best prioritize things you're working on?
[00:18:00] Cryptocurrencies, Elon Musk, and investing
[00:26:34] Do different strategies, along with the sentiments that are playing around, affect how a certain crypto value is going to scale from time to time?
[00:31:41] What are some things that you would do to set yourself up for success when moving to an engineering team for the first time in your career?
[00:35:31] How to communicate with engineers
[00:39:37] Focus on delivering something right away that's going to show your value, even if it's just something small that you think you can do in a week.
[00:42:02] Learning new tools is the easiest part. Forging new relationships, managing these relationships, and maintaining them…that's what you want to focus on
[00:44:11] Should data scientist act with more logic than emotion? What is that balance between logic and emotion?
[00:53:19] Statistics is not actually a super hard science.
[00:55:18] You have to understand that there's a lot of people that are like me that don't have natural empathy
[01:01:55] Jennifer shares some great news!
[01:03:44] Learning Java
Special Guests: Greg Coquillo, Mikiko Bazeley, Santona Tuli, PhD, and Vin Vashishta.
Released:
May 16, 2021
Format:
Podcast episode
Titles in the series (100)
How to become a data engineer | Andreas Kretz: One of LinkedIn's Top Voices in Data Science and Analytics for two years in a row (2018 and 2019) stops by the show to talk about his journey into data engineering, why you dozens of data science certificates are meaningless, and how you can become a data engineer! by The Artists of Data Science