If you ever meet someone who says âSQLâ instead of âsequelâ they are 100% a cop
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Carly Taylor, M.Sc.
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âStudy data science! Companies will be begging to hire you!â
This advice fuels a thriving industry of bootcamps and expensive masters degree programs with guarantees that a $200k salary is right around the corner⊠just as soon as you understand gradient descent.
But what happens after you graduate? How competitive IS a masters degree in data science? Or a certificate from an online course?
Everyone I know received similar assurances about their hireability in college from their professors. After all, why would someone trying to sell you something admit that youâll struggle to get a job once youâre done? The folks running your university or online bootcamp make money whether or not you end up succeeding.
The problem with data science programs isnât the content itself. You CAN learn data science from a masters program or a bootcamp (I did). The problem is how they frame their success rates and the mindset of their students as a result.
If you think the industry will be falling over itself to hire you, youâll be less incentivized to build good projects. You might put off learning how to contextualize your solutions within the framework of a business problem. You might go through the motions just to get the degree expecting that it will be your golden ticket to a 6-figure job in big tech.
You may struggle in interviews because youâve never thought about a data science problem outside of a classroom setting. You might not know how to work with a team of other data professionals because your data was always handed to you in a tidy csv. And you might struggle to explain your thinking to a non-technical audience because youâre so used to being surrounded by other people who do the same thing you do.
I still think data science is still worth pursuing if you love it.
But donât buy in that companies will be falling over themselves to hire you.
Itâs still on you to be a well-rounded candidate in an increasingly competitive job market.
This advice fuels a thriving industry of bootcamps and expensive masters degree programs with guarantees that a $200k salary is right around the corner⊠just as soon as you understand gradient descent.
But what happens after you graduate? How competitive IS a masters degree in data science? Or a certificate from an online course?
Everyone I know received similar assurances about their hireability in college from their professors. After all, why would someone trying to sell you something admit that youâll struggle to get a job once youâre done? The folks running your university or online bootcamp make money whether or not you end up succeeding.
The problem with data science programs isnât the content itself. You CAN learn data science from a masters program or a bootcamp (I did). The problem is how they frame their success rates and the mindset of their students as a result.
If you think the industry will be falling over itself to hire you, youâll be less incentivized to build good projects. You might put off learning how to contextualize your solutions within the framework of a business problem. You might go through the motions just to get the degree expecting that it will be your golden ticket to a 6-figure job in big tech.
You may struggle in interviews because youâve never thought about a data science problem outside of a classroom setting. You might not know how to work with a team of other data professionals because your data was always handed to you in a tidy csv. And you might struggle to explain your thinking to a non-technical audience because youâre so used to being surrounded by other people who do the same thing you do.
I still think data science is still worth pursuing if you love it.
But donât buy in that companies will be falling over themselves to hire you.
Itâs still on you to be a well-rounded candidate in an increasingly competitive job market.