Data Science Happy Hours 12, 04DEC2020

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December 6th, 2020

1 hr 19 mins 51 secs

Season 7

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About this Episode

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

Chat transcript here: https://theartistsofdatascience.fireside.fm/articles/oh12-chat-transcript

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/

I was on the Rising Laterally Podcast, check it out here: https://www.youtube.com/watch?v=cz6SpTi7tLc

SHOW NOTES

[00:01:27] When do I use Tableau vs Python?

[00:04:01] The data architecture of Tableau

[00:06:31] What is DBT?
frees up a lot of administrative burden for days for that stuff.

[00:08:13] “Are you talking about you by yourself or when do you decide to actually buy Tableau versus PowerBI or something else?”

[00:10:56] We start talking about SalesForce’s acquisition of Slack and what they plan on doing in the future.

[00:18:10] We start talking about resumes and share tonne’s of great advice about them

[00:19:30] Ben talks about the time he analyzed 400,000 resumes at HireVue

[00:21:49] What should be on your resume?

[00:23:15] “I would concentrate on people that have a social media presence because that was a way for me as a hiring manager to ascertain do they have this eclectic mix of skills that we call data science these days?”

[00:32:33] Dealing with imbalanced data

[00:36:50] Should I add pictures and graphics to my resume to make it stand out?

[00:41:06] The ever-elusive domain expertise

[00:46:49] Greg stumps us all with a question

[00:51:28] How do you decide if you should use open source third party packages, or should you use your own code?

[01:05:23] Portfolio projects

[01:12:55] Learn to build, learn to sell

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