lystn

The Data Science Happy Hours keep getting happier! Check it out and don't forget to register for future office hours: http://bit.ly/adsoh If you want to interact with me multiple times a week, join Data Science Dream Job for 70% off: http://dsdj.co/artists70 Watch the episode on YouTube here: https://www.youtube.com/playlist?list=PLx-pFwty92wJoWzoO7WlfaM7iYB8qjm We were voted one of the top ten data science podcasts by FeedSpot - check it out here: https://blog.feedspot.com/datasciencepodcasts/ 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.