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"The role of a data scientist is not only to make proficient use of the latest technology to find solutions but also identify problems early on." summarizes Lovleen Bhatia, co-founder and CEO of Edureka.
Data Science has become a coveted technology domain.
Comprising specialised skill-sets like statistics, mathematics,
programming and computer science, it involves dealing with multiple
elements, techniques and theories in math, statistics, predictive
analysis, data modelling, data engineering, data mining and
visualisation.
The role of a data scientist is not
only to make proficient use of the latest technology to find solutions
but also to identify problems early. A recent report by Accenture states
that 92 per cent of the companies that were surveyed were satisfied
with the business outcome of data analytics while 94 per cent said its
implementation met their needs.
The global big data
analytics market is estimated to reach $25 billion by 2015 (NASSCOM and
CRISIL Global Research and Analytics Report), projecting huge job
opportunities for data scientists abroad. The rising usage of big data
analytics in businesses across sectors have, in no time, increased the
absorption of data scientists in new media, banking and financial
services, retail, telecommunication, travel, manufacturing, education,
agriculture and energy sectors.
While discrepancy in
demand and supply is becoming a pressing employment issue, it is a boon
for professionals who wish to specialise as data scientists and work
with global corporate houses. The U.S., which has been the largest
market for data analytics may, by 2018, face an overall shortage of
1,40,000 to 1,90,000 data scientists and a whopping 1.5 million data
scientists at the managerial levels (Mckinsey Global Institute). Again,
the next eight years will see a 24 per cent increase in demand for such
skills.
Read more...
Source: The Hindu
Read more...
Source: The Hindu
