Is data analytics difficult to learn?

Data analytics is a vast industry and it’s one that is growing incredibly fast too, driven by demand and enabled by powerful new AI tools. So is data analytics difficult to learn, and is it something worthwhile for career movers to consider? Let’s take a look.

What is data analytics?

Data analytics describes a broad process of data collection, cleansing, analysis and reporting. A data analysis company such as Shepper will capture raw data for client businesses or in-house teams and then deep dive into it to extract useful information to guide management decision-making.

The challenges of modern data

As the world becomes more technologically driven, there is a large amount of data available to businesses. The challenge lies in managing huge reams of data in a way that is both legally compliant and ethical, ensuring data is actually valid, and that it can be transformed into something useful that aids actionable insight. Without the work that a data analysis company does to transform raw data into useful information that tells a story and can be used to guide better decisions, data simply remains reams of raw numbers, and its value is never unlocked.

Is it hard to learn data analytics?

The short answer is that it can be. But the long answer is that if you have an interest and aptitude in this field, you are likely to find it hugely rewarding and interesting! You will need to learn the necessary technical skills but also have a strong flair for communication and creativity, as half of the battle with data analysis is transforming raw numbers into useful commentary and insight that managers can work with.

It’s a highly skilled profession but one that is growing fast and becoming increasingly interesting, particularly for those analysts who learn how to use AI and blend these tools with their work. If you have the aptitude and passion to learn, it can be a superb skill and industry to get into, one where new and exciting jobs are being created to reflect the changing role of data in the world.

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