Everything is made up of data. Music that
we listen to, the daily news and updates we find on television and media, the
messages we send and receive, everything is made up of “DATA”.
There are different types of data. It includes:
·
Text- the data in the form of alphanumeric
letters.
·
Audio- the data that is in the form of
sound that converts analog data into electrical signals.
·
Video- that is visual data. It may contain
audio and video data running simultaneously.
Data science is the next big emerging field to handle
this huge stream of data. With companies fighting over data scientists to
improve their quality, some packages are skyrocketing.
But what does a data scientist do?
Data scientists build models, algorithms and find
patterns, designing experiments and data-driven decision making. Once done,
they are required to clearly communicate the insights that are collected to the
team to bring them up to speed even if the team are not directly involved in
it.
Want to be a data scientist?
Go through the following pointers, if anything clicks,
then maybe you're on the right path.
●
A degree in statistics, computer science,
management information systems.
●
Take pleasure in problem solving and don’t
mind individual work
●
Have an interest in data collection and
analysis
●
Are very skilled in both verbal and visual
communication
Why we need data science?
Data science facilitates better decision making with
the use of verified data assimilated by the help of data scientists. This
manner of utilizing data was not thought of by the year 2010. With the internet
boom taking place which caused the production of large amount of content online
(later termed as “big data”), the U.S. government had to deal and solve issues
related to storing all this data. Yahoo eventually came up with Hadoop, a
platform that could manage all this data, making it easier to handle. Big
companies started realizing how invaluable all this data could be if put to
proper use.
For example, the online streaming giant, Netflix, uses
the data that it collected from the user-viewing behavior to provide
suggestions of movies and shows that are similar to those that they have
watched. This is done by analyzing the available data to find a pattern in the
behavior of the user with the help of algorithms.
These systems replace and perform in a very efficient manner tasks that
were earlier performed and required human intelligence. They also provide
patterns in data that allow businesses to translate into higher profits in
their work space. A data scientist connects the dots between data and business.
Data science is a growing field. Companies want to use data to the best
of their advantage in order to gain a better idea of the market. So if you are
someone who was ever interested in data science or analytics, then enroll into
a data science course from only the most brilliant institutions, wherever you are and in your
comfort.
