Articles from Exasol

Exasol research suggests data science careers aren’t making young people Tik

Half (49%) of young people fail to consider data science as a career option Nearly ten years ago, Harvard Business Review famously labelled data science the sexiest job of the 21st century. However new research from Exasol, the leading high performance analytics database company, suggests data science careers are rapidly falling off young people’s radars — despite data roles ticking a lot of boxes in terms of the skills and activities young people want from a future career, businesses and educators aren’t communicating the importance and application of data in easy to understand terms.  

82% of young UK females lack the confidence to work with data

While half of young females (16- to 21-year-olds) in the UK believe working with data will play a major role in their future career, only 18% believe they are capable, according to research by leading high performance analytics database company Exasol. The research also reveals that just a fifth (22%) of these young females feel highly skilled in storytelling, and only 18% believe they are highly skilled in decision-making; both of which are essential in data-related careers.  

New research suggests young digital natives lack the data literacy employers crave

#ImADataDreamer - @ExasolAG study shines spotlight on the #DataLiteracy gap affecting 16- to 21-year-olds’ readiness for the data-driven future  Exasol, the leading high performance analytics database company, today launched the findings of its new study into the attitudes and understanding that young people currently in higher education or just entering the world of work have towards data. The study of 3,000 16- to 21-year-olds (coined D/NATIVES by Exasol because of their everyday digital skills) finds that despite over half of respondents believing that their ability to understand data will be as vital to their future as their ability to read and write — only 43% actually consider themselves to be data literate. Interestingly, a higher proportion (55%) said they can read, work with, analyse and argue with statistics—which are the required skills for data literacy according to MIT’s definition. 

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