The Data Science Happy Hours keep getting happier!

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Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFw_ty92wJoWzoO7WlfaM7iYB8_qjm

We were voted one of the top ten data science podcasts by FeedSpot - check it out here: https://blog.feedspot.com/data_science_podcasts/

Chat Transcript: http://theartistsofdatascience.fireside.fm/articles/oh13-chat-transcript

SHOW NOTES

[00:02:18] How much time do you REALLY spend on data cleaning, and what are you cleaning?

[00:11:14] Breaking into data science from a product management role

[00:17:28] How to find the right data to work on for a project?

[00:21:22] Landing that first interview in data science

[00:30:09] Do I need to normalize my data to do a t-test or ANOVA test?

[00:34:20] How do you account for an event like COVID with your machine learning models?

[00:45:32] The various degrees of deployment of machine learning models

[00:52:22] What do you love about being a data scientist?

[01:04:24] Breaking into data science: masters or online programs?

[01:10:09] How to balance stakeholder expectations for quick delivery and deal with impatient business partners?

[01:20:39] How to move up in your career as a data scientist if you don’t want to be a manager

Special Guests: Brandon Quach, PhD, Greg Coquillo, and Mikiko Bazeley.