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plications Architect, Enterprise Architect, Data Engineer and Business Intel-

ligence Developer. Whereas the top-paying career opportunities in the field

of Data Analysis are Data Analyst, Financial Analyst, Market Researcher, Cor-
porate Strategy Analyst, Actuary, Web Analyst and Management Reporting.

For people who are interested in making career in this emerging and one of the

highest paid job sector one need to have strong fundamental foundations in
a few subjects. Data scientists should have substantive expertise on machine

learning, hacking skills, statistical knowledge and traditional research. Data
analysts, on the other hand, should have training to identify trends, examine

large data sets, develop flowcharts and algorithms, establish patterns in busi-
ness strategies, and visualize presentations. If you are excited by math, statis-

tics, and programming, then Data Science is for you. If it is computer science

and business that does it, then you must definitely consider Data Analytics.

Though the two fields can be considered as two sides of the same hand, their
functions being highly interconnected, the difference between them shows

in their applications. At the end of the day what matters is job satisfaction
and a sense of happiness and fullness and not the amount of salaries one

is earning so it is important to choose a career that can provide you these.

Abha Buch
18BEC003

SPECTRUM Pg. 40 ISSUE 1