127: FASTEST Way to Become a Data Analyst (feels like cheating)....Career Hacking

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If you're trying to break into data analytics,

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you're probably overwhelmed with

advice, courses, and roadmaps.

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Maybe even including my own.

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But here's the truth.

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You don't need to

reinvent the wheel at all.

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Stop wasting your time trying to

figure it out all on your own.

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The right path for you to take is

actually sitting right in front of you.

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Hidden in plain sight.

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You just have to look hard at it.

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And here's what I mean by that.

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One of my favorite quotes ever is from

Brad Thor, who said, success leaves clues.

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And to me, that means you should be

able to look around you, find the

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people who are successful and figure

out how they became successful.

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If there's anyone or any amount

of success, There'll be some sort

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of trail or clues that you can

follow to recreate that success.

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With that in mind, I'd like to introduce

a concept I created called career hacking.

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It's where you find the people

who are already crushing it as

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data analysts, figure out exactly

what they did to get there, and

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then you follow their exact path.

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Why?

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Because success leaves clues.

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Step one is to identify those

who have already made it.

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Look for analysts who started where

you are now and are now working at top

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companies or have landed their dream role.

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And get specific here.

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I'm telling you, the more

specific you get, the better.

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Because if you're a pilot in the UK who

wants to break into data, Your journey

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will probably look a little bit different

than, say, a blue collar mechanic in

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the US trying to break into the field.

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Try to find someone who has

already done your exact journey.

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For instance, if you're a high school math

teacher in North Carolina looking to break

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into data, look for other math teachers in

North Carolina who have already done so.

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If you're a biology major in Florida,

then you should probably find

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other biology majors in Florida who

have already landed a data role.

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Then, break down their journey.

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Like I'm telling you,

really study it in detail.

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What skills did they learn?

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What projects did they showcase?

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What tools did they mask?

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What were they posting on LinkedIn?

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And what advice do they give

now to their former selves?

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Step two, reverse engineer.

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Reverse engineer their entire journey.

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I'm telling you, you don't have

to guess what works here, people.

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Just copy what's already proven.

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If someone used Tableau to get

noticed, then learn Tableau.

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If another person built an amazing

portfolio project that got them hired,

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Study the crap out of that project

and create your own version of it.

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I'm telling you, you don't have to create

your own data roadmap from scratch.

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Just steal the one that

works and is already proven.

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And if you're not sure where to

find all this information and

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how to copy it, it's available.

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I'm telling you, it's all over the place.

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It's just hidden in plain sight.

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You can study someone's LinkedIn

profile and learn a lot.

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You can see what their

profile picture looks like.

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What bullets do they have

in their experience section?

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What courses did they take?

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You can find that in

the education section.

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You can study their

portfolio or their GitHub.

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Because most of the time, the code

to recreate the project is right

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there, or there's some sort of

step by step instructions of how

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they actually built the project.

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It's all there for you for the take.

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Or if that's too hard, it's too much

work, then just do one thing and press

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the subscribe button to this podcast,

because I share a case study of a non

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technical person landing a data job

every single month on this channel.

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In these longer episodes, I

asked them exactly what they did.

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What they studied, where they worked

before, who they messaged, what type of

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portfolio they made, so on and so forth.

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And you can watch these episodes and

take notes to create your own roadmap.

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You guys, I'm seriously doing

all the hard work for you.

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All you need to do is press subscribe

because I've interviewed teachers.

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I've interviewed scientists,

engineers, people from India,

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people from Canada, people from

South America, people from Asia.

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Literally, anyone you could possibly

think of, I have interviewed them

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and learned how they transitioned

from what they did previously and how

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they landed their first day at a job.

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It's that easy.

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But remember, it's important to

stay consistent because it's not

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about just making a plan, but

you actually have to stick to it.

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Execution, day in, day out.

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It's boring, overcomplicating things.

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Find what has already worked

for others just like you and

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then apply it to your journey.

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That is career hacking and

it is your fastest route to

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success in data analytics.

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And let's make it easy.

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I have two case studies on the screen

and in the show notes down below

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that you can go study right now.

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So what are you waiting for?

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Let's do it.