ryxcommar's tweet thread on why 2023 is a bad year to bootcamp your way to a data science job.
What he says pretty much falls in line with what I see these days too.
We have shrinking numbers of entry level data scientist positions, but most people know that
What fewer people have mentioned is that we have not only an increasing number of data science boot camps but an exploding number of data science and analytics masters degree programs. It is truly breathtaking to see just how many schools have started either a data science or an analytics master's degree program in the past 7 years.
People can debate the quality of these individual masters programs as much as they want, or debate choice between doing a master's in data science/analytics versus statistics. However, what really isn't up for debate is that a master's degree beats a boot camp, all other things being equal.
I live in the Chicago area and I think almost every University in the Chicagoland area has a data science or analytics master's degree program. Not just statistics and computer science, specifically data science and analytics. 7 years ago there were maybe two schools in the area that had one.
Additionally, another major change has been that the options for lower priced masters degrees have exploded as well. It makes absolutely no sense to pay $10,000 to $15,000 for a boot camp when you can pay the same amount for a master's degree, sometimes at a top 10 School.
More on reddit.comWalmart Data Science Internship Take home Assessment
I applied for the software engineering role new grad and also recieved a take home assignment, and I think it took me around 3 hrs to do it. I wouldn't worry about about it too much since my code wasn't 100% working and I had to debug it during the interview, but I still managed to pass that round. As long as you write clean code and explain it well you'll pass
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