Be Data-Savvy or Get Left Behind

Data-related jobs, such as data scientists and analysts, have remained among the top-shelf roles through the last decade. Data science is becoming indispensable, and fundamental knowledge is becoming a criterion for employment decisions.

However, when people think of data what comes to mind is complexity and technicality? Little do they know that data is not limited to this, infact, it is a field for creative minds. While data science encompasses the use of tools from code, statistics, and mathematics, the magic is in the creativity required to derive insights from all these.

In simple terms, data science is the use of tools, methods, and technology to interpret data. Data analysis is a branch of data science that involves studying raw data to derive insights that are useful for business operations.

Why You Need Data Skills

 

A decade ago, data science was described as ‘sexy’ by Harvard Business Review, but the layoff in 2023 cast doubt on the relevance of data roles. However, further insights revealed that data-related roles made up 3% of the layoff.

The market for data science is promising with the evolving Artificial Intelligence technology. The operations of AI would depend on data, so a full-stack data scientist would be indispensable. Data would need to be analysed to aid predictions and suggest areas of product improvement.

Data enables businesses to be strategic and competitive, as a lack of insights from data means lost opportunities and revenue, making data-skilled personnel indispensable in the business world. As humans keep developing technologies such as AI to facilitate human activities, this technology would need insights from data in order to effectively satisfy consumers.

Every sector needs the processing of data, and individuals with the expertise or even basics of data skills will remain relevant in this modern era for a long time.

Comments

No comments yet. Why don’t you start the discussion?

Leave a Reply

Your email address will not be published. Required fields are marked *