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3 Mistakes you should not make in a Data Science Interview
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3 Mistakes you should not make in a Data Science Interview

Rahul Agarwal's avatar
Rahul Agarwal
Dec 24, 2019
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MLWhiz | AI Unwrapped
MLWhiz | AI Unwrapped
3 Mistakes you should not make in a Data Science Interview
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3 Mistakes you should not make in a Data Science Interview

People ask me a lot about how to land a data science job? Or how to switch careers or how to study for a job interview?

Mostly my answer is to do some MOOCs , create some projects, participate in Kaggle, try to get in a startup and don’t give up.

But yet there are some things everyone should understand about data science jobs.

Data science jobs involve a lot of to and fro communication and involve a lot of people handling skills. And as such, even if you don’t realise you will be inadvertently tested on these skills.

Sometimes you may feel like — I am a coder and let me code in peace. Or how does my behaviour matter? The point is it does.

This post is about explaining some of the worst mistakes people do in a data science interview so that you don’t end up repeating them.

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