Data Science Happy Hours 10, 20NOV2020
November 22nd, 2020
1 hr 12 mins 10 secs
About this Episode
The tenth episode of the Data Science Happy Hours were popping off! Guest's that came by: Thom Ives, Dave Langer, Ben Taylor, Sarah Nooravi, Giovanna Malaga, Monica Kay Royal, Kate Strachnyi, Carlos Mercado, and so many more!
Chat transcript: http://theartistsofdatascience.fireside.fm/articles/oh10-chat-transcript
Huge thanks to our sponsor for this episode - Cloud Academy! Go to https://cloudacademy.com/ and use the coupon code ARTIST for 50% off the monthly subscription fee for life!
Check it out and don't forget to register for future office hours: http://bit.ly/adsoh
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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/
Checkout Nicole's article shouting out the show: https://towardsdatascience.com/supercharge-data-science-3da3ccf103-13da3ccf103
I was on the Rising Laterally Podcast, check it out here: https://www.youtube.com/watch?v=cz6SpTi7tLc
[00:02:09] How would you define a full stack scientist?
[00:04:18] Intrapreneurship: being the first data scientist in an organization
[00:06:04] What not to do as a data scientist
[00:07:19] Mistake in cross-validation
[00:08:54] Building minimal viable products
[00:10:19] “We're not earthlings, all of us on the screen. We are barely earthlings.”
[00:12:31] One of the problems with machine learning
[00:14:04] Screwing up things, the hard way.
[00:15:43] What do you think about people starting as data analysts and then transitioning into a data scientist, or is there a better way of doing that?
[00:19:01] “I actually have something against titles themselves. In some cases, they're not what they seem.”
[00:21:04] “You have to be skeptical of job descriptions. You have to be skeptical of titles.”
[00:24:11] “How you present your skills is an important way of how they are going to consider you for their position.”
[00:28:06] Do mock interviews
[00:28:45] Take the beginner stuff off your resume
[00:30:56] WTF is a unit test and when do I need them?
[00:33:24] The rule of thumb for knowing when you need to do unit tests
[00:33:35] “But it's not technical debt if the debt doesn't come due”
[00:35:00] Is there going to be a shortage of business domain experts in data science?
[00:41:27] “At the end of the day, Data analyst, data scientist, the main point that you're trying to do is to solve a problem, to help the business be better, make more money, get more customers.”
[00:42:43] Can you give some input on how you manage your time?
[00:44:06] How Sarah Nooravi manages her time
[00:45:41] How Giovanna manages her time
[00:47:35] How Harpreet manages his time
[00:48:36] How Ben Taylor manages his time
[00:50:07] Carlos says the most un-Carlos thing ever: “Listen to your body”
[00:51:01] How Dave Langer manages his time
[00:52:12] A summary of how to manage time
[00:53:41] Network analytics?
[00:55:15] Learn to build, learn to sell…if you can do both, you will be unstoppable
[00:58:11] Test driven development and data engineering
[01:02:44] What are some things that data scientist are not good at, but they probably should start getting good at?
[01:07:33] The importance of curiosity