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Data Science and Analytics

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Data Science has been a term that is being thrown around a lot in recent years in the industry, given its great potential as a career. So how should you start your own Data Science journey? Taking a step back Let’s take a step back. Data Science is an umbrella term – one which is used very liberally. It doesn’t mean the same thing to one company as it means to another company. Take a look at the diagram below. It’s important to figure out where exactly you want to be on the diagram. The middle is more of a generalist Data Scientist. There are also more technical roles like Applied Scientist – someone who is a developer plus a data scientist. Once you figure this out, your journey will be much simpler as this will keep you from going all over the place and getting lost trying to learn…

It is important to show your prospective employer that you have got most of the skills under your belt already. If your resume does not reflect the skills that the employer is looking for, chances are that it would go automatically under the rejection pile.

Skills needed to succeed at work

You might have heard of tech giants launching no-code or low-code tools, and AutoML platforms in the past few years. Could this mean that these tools will replace data scientists?