How to become a data analyst

With the world’s ever-advancing technology, data is becoming increasingly important. Companies find themselves navigating seas of data with no good way to extract the important stuff. This is where data analysts come in.

Building your skill set

Data analysis isn’t a walk in the park, and you’ll need a strong foundation in areas like statistics and data visualisation. You’ll also need to be handy with Excel, SQL, or Python to be a versatile analyst.

Of course, you won’t become an overnight success either – these skills take effort and determination to build. Fortunately, you can find a data analysis company to help you out in the meantime, such as https://shepper.com/, meaning you won’t miss out on crucial data while you learn.

Working for a data analysis company will also help you learn more quickly, getting hands-on experience with real datasets and businesses. This sort of exposure is key to getting you started and learning secrets to help you improve.

Building a portfolio

As with nearly anything in life, if you practise it enough, you can’t help but improve at it. However, it’s important that you chart your progress with verifiable examples of what you can do.

If you don’t have anything to work with, try personal projects, offer to do freelance work, try out for internships – anything to build up your portfolio.

Networking is the next big step. Keep track of clients you’ve helped, connect with other data analysts, attend industry events, and most of all, stay curious. A growth mindset will ensure you constantly strive to improve – something clients appreciate.

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