DataCamp

The job market right now is sending, I would say, very conflicting signals.

So DataCamp, for example, they had some analysis of roughly 2 million job postings.

And it seems like data and AI roles are up 80.2% year over year, with AI engineering roles up 255%.

But at the same time, conventional data and analytics job postings are down, according to Indeed.

Right? R-A-P-L-I-T.

DataCamp.

Now my clarification, replay switch is older, October 16 to 17, my bad.

OpenAI is now preferred or the default.

Right.

DataCamp is the same playbook at a smaller scale.

Their CEO said OpenAI offered 40% off models for internal product work if they also used Codex, and he estimated costs could fall 80 to 90% if the offer extended to the products they sell.

And a

They keep going.

As well as teaching people how to work with data, DataCamp also generates a lot of interesting data sets.

Today, we're gonna discuss some insights that have been discovered by our data team.

We'll talk about patterns of DataCamp usage, behavioral levers to help you learn for longer, tips to pass DataCamp certifications, and insights about the career landscape.

Learning to code, in our data, hasn't become obsolete yet.

A term that we all didn't know about three years ago, which is AI engineer, all of a sudden started appearing.

It kept rising and rising and rising, and now people who now come onto the platform talk to the assistant about what careers they want, one-on-one, data scientist versus AI engineer.

I'm joined by Pieter Moors, a lead data scientist here at DataCamp.

So I was gonna ask you how you... how, how did you kind of learn Python? Because you've got...

one thing you've got listed on your, um, on your profile is D- DataCamp, which is actually a sponsor of the podcast, actually.

So I, I will link that down below.

But did you use that as part of your learning process as well? Is that...

Python?Uh, well, I think, uh, online course w- sites like Data Ca- Camps are really useful for the beginning of the learning process.

Yeah.

Uh, so after that you need to, mm, have your own project using these languages, and DataCamp was so useful for this.

And then, uh, thanks to Galatasaray job and I use my projects, uh, with Python, so it just i- accelerated my learning, uh, process for Python.

This is Richie.

Radar is DataCamp's virtual conference series, and this episode of DataFramed presents the highlights from the latest event, Radar 11x.

Every AI influencer talks about increasing your productivity with AI by tenfold.

So we decided to take a leaf out of the This Is Spinal Tap movie and turn things up to 11.

If you think about learning, for example, you can use AI to be lazy and to not understand things.

or you can use AI to accelerate your learning.

You can come to DataCamp, you can use our AI tutor, which is optimized for learning.

And so it's the same thing as with any kind of technological revolution.

And the internet doesn't make things any easier.

Coursera says one thing while DataCamp says something else.

Heck, even this one single Reddit thread that goes through what you should be learning, everyone is saying something different.

Some people said, "Learn Power BI," others said, "Learn SQL." Some people said, "It's all about Python," and it's honestly all over the place.