As data is increasingly becoming a valuable raw material for any organisation, career in data analytics is certainly getting a lot of attention among young graduates. Data analysts or data scientists as they are more commonly known these days are being offered big salaries, faster growth paths and challenging work environments.
Here are five ways one can become job ready for this particular market:
Get a degree in Science, Statistics/ Mathematics: Though a data scientist can technically come from any stream of education, there is a clear preference for those with a degree in science, statistics or mathematics. There is also a definite advantage for these graduates as data analytics is essentially all about numbers and a solid foundation in math, modelling and statistics, is needed to sort through, analyse and interpret data.
Develop an integrated analytical skill set: It is essential for a data scientist to have expertise in diverse analytical tools. The language of SAS is one of the more popular analytics tools you can learn. However, programmes and tools like R and Hadoop are gaining momentum and it would be prudent to also invest in learning them. In addition a data scientist would also need a comprehensive and thorough knowledge of NPL software, languages like QL, Perl and Python.
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