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From spotting fashion trends to predicting the weather, data professionals tidy up huge volumes of data and make it useful.

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What do data careers involve?

Broadly, data professionals manage huge volumes of data and use it to answer useful questions or spot trends and insights. Every year, humanity is generating exponentially more data, and having the resource to spot opportunities has the potential to deliver huge competitive advantages for organisations.

Data professionals can have impact in virtually any industry, from banking to healthcare. There are a wide range of data-related fields, such as Data Analytics, Data Science, Machine Learning and Business Intelligence (BI). SQL, a language for interacting with databases, is the bread and butter of any data professional. Tools like Tableau and PowerBI are popular in BI, while Python is at the heart of a range of emerging technology in data science. The Data Skills Gap represents one of the biggest international skills shortages.

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Is a career in data right for me?

Analytical skills and data careers go hand-in-hand. It’s not necessary to have a degree in the sciences or maths (though it can be helpful). If maths isn’t your strong suit, data might not be for you. Data is a career that requires a range of career-specific knowledge and skills. Fortunately, these are all teachable if you have the right underlying aptitudes.

But success in data isn’t all about the “left brain”. The best data professionals combine their analytical prowess with a strong ability to communicate complex ideas to non-technical folk, too.

How do I get into data science?

The barrier to entry into data jobs has dramatically reduced in recent years. With no prior experience, you can start your career through a specialist data bootcamp or through a high-quality online course.

You could also consider a Bachelors or Masters Degree in Data Science, available online these days through platforms like upGrad, amongst others. Although not a cheap option, this is sometimes required for more advanced or technical data-related roles, and provides a strong base of theoretical knowledge upon which to build a career. There are increasingly well-defined routes for existing data professionals to complete a degree after they have gained some experience, in order to open up opportunities to progress.

Where could this career take me?

We’ve scoured the internet and found a whole heap of resources around life as a data professional. Take a look at the links below to see what we’ve found.

DS Central

Community and Articles for Data Pros




BI and Data Insight


Sharing Knowledge on the Data Economy


AI Insights

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They say data is the new oil. If you have an analytical mind, you may have the potential to unlock enormous value for organisations – and a fulfilling career for yourself.quote-end icon

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Gordon Lee

Data Lead




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in Applications

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