I help people transition into Data Science & Analytics, quickly & easily...

> Data Science Infinity: https://www.data-science-infinity.com/

> 60-minute Data Science Career Training Session: https://training.data-science-infinity.com/register

> AWS For Data Science & Analytics: https://bit.ly/aws-data-science-analytics

> 2 hour Python, Data Science & ML Intro Course >> https://youtu.be/OSbUA5Q9Cec

Feedback from students:

"I landed my role at Amazon totally thanks to DSI" - Andrea (DSI Student)
"The best program I've been a part of, hands down" - Christian (DSI Student)
"I've learned more than on any other course" - Erick (DSI Student)
"One of the best purchases towards learning I've ever made!" - Scott (DSI Student)

About Me: 

15 years in Data Science at companies including Amazon & Sony PlayStation where I developed and prototyped Machine Learning based features for the PlayStation 5 - several of which have been patented by Sony. 

I've interviewed & screened hundreds of Data Science candidates, and through this process have learned exactly what can differentiate a standout & successful candidate from the rest. 

I authored "The Essential A.I. & Data Science Handbook for Recruitment"​ 

Throughout my career, I've had the opportunity to mentor fellow Data Scientists; from their entry into the field, to developing their technical & non-technical skill-sets, as well as providing guidance around preparing for, and being successful with promotions and interviews.​

Please do reach out for support & advice - I'll be happy to help!

Andrew Jones

Aspiring Data Scientists. Yes, you do need to learn some math.

There is no getting around that.

It underpins a lot of what we do in the field.

But, don't be scared off by this.

You DO NOT need to spend a year reading dusty textbooks before you're allowed to progress, build things, or land your first role.

Don't let anyone tell you otherwise.

Start with statistical concepts such as distributions, hypothesis tests, the central limit theorem, confidence intervals, and probability. 

They are the foundations.

From there, start introducing more advanced mathematical concepts, such as Linear Algebra

But, do this as you start applying things like ML algorithms.

It's so much more enjoyable learning while you're testing and modifying things and seeing what changes and why.

You've got this!

💼 Most Data Scientists don’t fail interviews because they lack skills… they fail because they miss this.

After years of interviewing hundreds of Data Science candidates,  I’ve noticed the same patterns over and over again.

Here are the 5 biggest mistakes that stop talented people from landing roles (and how to fix them 👇).

If you’re preparing for your next Data Science or Analytics interview, this one’s for you!

Swipe through and make sure you’re not making these!

🚀 Want to fast-track your career and land your first (or next) data role in 4–6 months?

Join my free Data Science Career Webinar where I’ll show you exactly what skills, projects, and strategy hiring managers are looking for:
 👉 https://lnkd.in/ekp-jmD2

5 most common mistakes

Aluno do 3ºAno na Licenciatura em Ciência de Dados no Iscte - Instituto Universitário de Lisboa

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Andrew Jones

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The Battle

Andrew Jones

Afonso Lourenço

Followers

Posts

Engagements

Likes

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