Before understanding data science, let us first understand What is data ? Data means “Information” which can be in any form like photos, videos, contact details, messages etc. When we put science on data then it is called data science. Putting science on data means “doing the analysis of data using science” so that we could get information in a structured & organized way which is then utilized to improve the company performance by deriving Sales & Marketing Strategies, Customer Satisfaction Strategies etc.
Data analysis is done using a branch of
computer science called data science. Important information is gathered through
data science from the collected data, and this information is then used in a
variety of ways. In order to get better and better analysis, it also primarily
uses algorithmic systems. If data science is understood, it can be compared, in
layman's terms, to mining gold from a pile of trash.
Data science is a clever method for gathering
structured and unstructured data and carrying out organized analysis. It is
primarily utilized in the business, medical, social science, and other sectors.
Some fundamental methods related to data analysis and data mining are used by
data scientists. It is somewhat a synthesis of the sciences that disseminate
the data.
It's not difficult to understand the data
science example. We are given access to facilities that are better and simpler
for us by incorporating data science into our daily activities. Many OTT
platforms in this field use data science to provide users with the best
possible experience.
Like every time you watch a video on Netflix,
SonyLiv, Amazon Prime, Disney + Hotstar, Zee5, Jio Cinema, and Discovery+
you've probably noticed that Recommend frequently displays the same kind of
video. In addition to this, you can find the same kind of ads on other social
media platforms as the kind of query you searched; this is a true marvel of
data science.
Data science salary and job outlook
The size of the Data Engineering
market in India was USD 18.2 billion in 2022, This is predicted to
grow at a CAGR of 36.7% in the next five years to reach USD
86.9 billion by 2027, Thus a huge demand for data analyst / data engineer
/ data scientist / business analyst in future. The total number of open
jobs for data engineers as of the May 2023 was 80,230 for Junior data
scientist ( lnkedIn report ).
According to some Indian survey a data scientist with 2-3 years of
experience gets around 15 Lakhs Rupees as a salary or package in a year that is
a handsome amount. This growth will keep on increasing as time passes.
Educational requirement
To qualify for an entry-level data scientist role, you need a degree ( B.Tech, BCA, MCA, B.Sc – IT, B.Sc – CS ), Even now a days BBA & MBA graduates are also doing data science course to enhance their skills.
