In this bonus episode, Eric and John preview their upcoming conversation with Angelica “Jelly” Spratley of Flatiron School.
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Eric Dodds 00:05
Welcome to the Data Stack Show, PRQL. This is a short bonus episode where we preview the upcoming show. You’ll get to meet our guest and hear about the topics we’re going to cover. If they’re interesting to you. You can catch the full length show when it drops on Wednesday. Welcome back to the show. We are here with Angelica “Jelly” Spratley. Jelly, welcome to the show. We’re so excited to have you.
Angelica Spratley 00:29
I’m excited to be here.
Eric Dodds 00:31
All right. Well, give us a quick background. How did you get into data?
Angelica Spratley 00:36
Yea, currently I’m a senior data science instructor for Flatirons school as well as content developer. Prior to that, I served in the industry as a data consultant working in the higher education and pharmaceutical spaces, and this all started from being a high school engineering teacher, very
Eric Dodds 00:53
cool. Can’t wait to hear more about that.
John Wessel 00:56
So jelly, we got to talk a little bit before the show today, and one of the things I’m fascinated to hear about is that there’s a, apparently, a Disney and data AI conference. So we got to talk more about that. What are some topics you want to dig into? Yeah,
Angelica Spratley 01:10
I’m excited to talk about that too, as well as how you can maintain your value and why education is so important if you’re trying to enhance yourself as a data professional, or transition it into the data world for the first time. Awesome.
Eric Dodds 01:25
Well,
John Wessel 01:26
let’s dig in. Yeah, sounds good.
Eric Dodds 01:28
All right, that’s a wrap for the prequel, the full length episode will drop Wednesday morning. Subscribe now so you don’t miss it.
Each week we’ll talk to data engineers, analysts, and data scientists about their experience around building and maintaining data infrastructure, delivering data and data products, and driving better outcomes across their businesses with data.
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