The james bond of data science.
I saw this post from @v_vashishta who described the JB of DS as someone who's resume makes recruiters cry, can cook Michelin 3 start meals with 1 hand, & run an entire #datascience team with the other...
A #rstats #python 🧵
I saw this post from @v_vashishta who described the JB of DS as someone who's resume makes recruiters cry, can cook Michelin 3 start meals with 1 hand, & run an entire #datascience team with the other...
A #rstats #python 🧵
2/n
It's funny, because it's true! Job descriptions perpetuate this unicorn.
BUT, here's the cold hard facts:
1. You don't need to be a unicorn. In fact trying to become one will hurt your progress.
It's funny, because it's true! Job descriptions perpetuate this unicorn.
BUT, here's the cold hard facts:
1. You don't need to be a unicorn. In fact trying to become one will hurt your progress.
3/n
2. You don't need a PhD degree. In fact most of my students don't have computer science backgrounds. YET, they are getting jobs at Apple, Microsoft, Google...
2. You don't need a PhD degree. In fact most of my students don't have computer science backgrounds. YET, they are getting jobs at Apple, Microsoft, Google...
4/n
3. You just need to get your foot in the door. Then everything becomes easier.
Now for those of you that HAVE been trying to become a data scientist, AND have not succeeded after 1-year, then I want to talk with you specifically.
3. You just need to get your foot in the door. Then everything becomes easier.
Now for those of you that HAVE been trying to become a data scientist, AND have not succeeded after 1-year, then I want to talk with you specifically.
5/n
Taking 1-year or longer is a problem. Here's why.
1. You're losing out financially. Every year it takes you is a 6-figure salary that you've just forfeited.
Taking 1-year or longer is a problem. Here's why.
1. You're losing out financially. Every year it takes you is a 6-figure salary that you've just forfeited.
6/n
2. You're losing out on time. Competition increases & your shot of making it decreases.
2. You're losing out on time. Competition increases & your shot of making it decreases.
7/n
3. AND you're probably going to quit. I mean who wouldn't IF they weren't getting results after over 1-year.
So I'd like to help you.
3. AND you're probably going to quit. I mean who wouldn't IF they weren't getting results after over 1-year.
So I'd like to help you.
8/n I'm going to give you 40-minutes of training that consolidates the things I've learned over the course of 5-years learning data science and training elite teams.
It's yours for free.
learn.business-science.io/free-rtrack-ma…
It's yours for free.
learn.business-science.io/free-rtrack-ma…
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