John Pauler

I help people and teams learn data @ Maven Analytics

[John Pauler @jpauler]

Free course access at Maven Analytics starts now.

From March 16-22, you can get free access to our Python for Data Science learning path:

5 courses
4 guided projects

AI, data science, and machine learning.

Plus 3 live events this week.
https://t.co/gh1faZ0hAC

[John Pauler @jpauler]

@mcennamo @Columbia @MavenBI Thanks for the shoutout @mcennamo!

Really glad you liked the learn —> practice —> review format with hands on exercises.

There’s no better way to learn in my opinion :)

[John Pauler @jpauler]

@Springboard This is great advice for non-Designer roles too. I tell Analyst candidates the same thing. Having a portfolio is important and getting it live with minimal friction is a good strategy. Use a builder and put some features posts on your LinkedIn. Done.

[John Pauler @jpauler]

@coursera Having some good credentials certainly doesn’t hurt. Especially if they are well known / issued by a reputable place.

Skills / relevant experience will always win, but for entry level folks, all else held equal, the person with the certificate probably has a leg up.

[John Pauler @jpauler]

@TomMitchellData @DGAnalysis My pleasure. It’s from my company, @MavenBI. Still pretty new and far from a mature product, but folks seem to like it a lot. Definitely always open to suggestions to improve it too.

[John Pauler @jpauler]

@mdancho84 So useful - very crisp way to tell this story 👏👏

[John Pauler @jpauler]

@mdancho84 So useful - very easy way to tell this story 👏👏

[John Pauler @jpauler]

@mdancho84 So useful - very easy way to tell this story 👏👏

[John Pauler @jpauler]

@MavenBI Awesome to see this one live!

[John Pauler @jpauler]

Love this framework from @mdancho84.

I always talk about “playing field Analysts” vs “scoreboard keeping Analysta” and this line of thinking feels similar 👏👏

[Matt Dancho (Business Science) @mdancho84]

It's 2023 and traditional data science is broken.

There's a new type of Data Professional forming.

Here are the 2023 #datascience #trends I'm seeing... 🧵

#datascientist #career

[John Pauler @jpauler]

@TomMitchellData Great thread Tom! Agree with all of this.

Another tip I recommend is trying to put yourself in the P&L owner’s shoes.

Ask…

If you had to make business decisions in the area being discussed, what would you want to know?

What data would you need to see?

[John Pauler @jpauler]

@EcZachly Great idea. Would love one of these for data analysis if anyone is interested. 40k LinkedIn. Less excited personally by data engineering

[John Pauler @jpauler]

@Rita_tyna @jessica_xls @DavidAbu_ @Yinkaoke @Opiano_1 @AhmedOyelowo @saltypip @TheOyinbooke would be much less impressive than a dashboard you designed yourself after analysis.

Think about your answer to follow up questions about your process…

Copied: I followed an instructor to build it. 😔

Analyzed: I dove into XYZ, found this, and here’s why I did this… etc 💪

[John Pauler @jpauler]

@EcZachly Haha how about capitalizing keywords?

[John Pauler @jpauler]

@mdancho84 Right on. Still can be a great time saver. And some applications are better than others.

I expect accuracy to improve as well.

That’s the number one problem to solve with these to make them more valuable, so someone will solve it.

[John Pauler @jpauler]

@TDataScience @snr14 Trusty old CASE WHEN

Some of my favorite applications…

1. Cleaning up messy data and organizing into clean categories (ex: Freeform customer data)

2. Assigning numerical values to non-numerical data types so you can then rank corresponding values

There are tons :)

[John Pauler @jpauler]

@o_sayrah Glad you enjoyed this one!

[John Pauler @jpauler]

@TomMitchellData Great advice here Tom!

You’ve nailed the order to learn them in too. Excel is so easy to just get started with…familiar to many, no code needed, ubiquitous in business.

Then SQL opens a lot more doors.

Awesome stuff. Hope folks are taking notes.