India is the
second-biggest analytics jobs hub after the US, a recent study by
skilling platform Edvancer and Analytics Magazine India revealed.
The figure marks a 76% jump from the previous year. Most colleges have not
added these newer courses to their curriculum.
According
to the report, some of the leading organisations with the most number of data
science job openings this year are JP Morgan, Accenture, Microsoft, Adobe,
Flip kart, AIG, Wipro, Deloitte, EY and Vodafone. Some of the top advertised job
designations are analytics manager, data scientist, and data analyst and
analytics consultant, among others.
Who is a Data Scientist?
Data science is a complex field. It
involves dozens of different skills that make defining the profession a
constant struggle. There are too much information for the average person to
process and use, data scientists are trained to gather, organize, and
analyze data, helping people from every corner of industry and every
segment of the population.
Essentially, a
data scientist is someone who gathers and analyzes with the goal of reaching a
conclusion. They do this through many different techniques. They may present
the data in a visual context, which is often called “visualizing the data,”
allowing a user to look for clear patterns that wouldn’t be noticeable if the
information was presented in hard numbers on a spreadsheet.
Essentially, a data scientist is
someone who gathers and analyzes with the goal of reaching a conclusion. They
do this through many different techniques. They may present the data in a
visual context, which is often called “visualizing the data,” allowing a user
to look for clear patterns that wouldn’t be noticeable if the information was
presented in hard numbers on a spreadsheet.
They
often create highly advanced algorithms that are used to determine patterns and
take the data from a jumble of numbers and stats to something that can be
useful for a business or organization. At its core, data science is the
practice of looking for meaning in mass amounts of data.
They
may discover that customers who use a certain amount of bandwidth are more
likely to leave or that customer who are married and between the ages of 35 and
45 are the most likely to switch carriers. The cell phone company can then
change their business plan or marketing efforts to engage and retain these
customers.
Data Scientist Jobs
Data scientists
work in many different settings, but the majority of them will work in
office-like settings that allow people to work together in teams, collaborate
on projects, and communicate effectively. Much of the work may include
uploading numbers and data into the system or writing code for a program that
will analyze the information
The world of data science is an
always-changing area, so people working in this field need to constantly update
their skills. They are continually training to stay at the leading edge of information
and technology.
Data science
educational qualification (Best choice):
A
Data Scientist should have a strong mathematical background to be able to test
and run the results from the data. A solid understanding of statistics,
probability, calculus, and linear algebra is required. It helps in analyzing,
applying data analysis techniques and implements it in a better way.
Data
scientists come from a wide range of educational backgrounds, but the majority
of them will have technical schooling of some kind. Data science degrees
include a wide range of computer-related majors, but it could also include
areas of math and statistics.
1.
Engineer
2.
Mathematicians or any degree in mathematics
3.
Statisticians or any degree in stat
4.
Economist
5.
Actuaries
6.
MBA
7.
Commerce Degree
8.
IIT/IIM/Ph.D
This is what you should follow first in order to become a
Data Scientist:
·
First, learn the languages used for
programming - To be a data scientist, having hands-on experience on
programming languages such as R and
Python is a must. Python offers plenty of benefits - it is now the Bank’s
tool of choice for crunching financial data. Moreover, Python is easier to use.
It is a powerful tool with many capabilities and gives you the opportunity to
solve data problems end-to-end.
·
statistics and probability -
if you are pursuing
data science, you need to have basic understanding of statistics. In short, you
need to be able to describe a few basic algorithms. You would need to run algorithms using R libraries. However,
being able to understand the basics of statistical analysis gives your teams a
better approach.
·
Having knowledge of SQL - SQL,
or Structured Query Language,
is a powerful programming language that adds, deletes, extracts, or operates on
information within a relational database. Most
data scientists use SQL because it opens
the door to data science.
·
Machine Learning - Machine learning is a set of
algorithms that train on a data set to make predictions or take actions in
order to optimize some systems. To
learn machine learning you need to have knowledge in mathematics. Machine
learning and statistics is a part of data science.
·
Deep learning - is one of a kind of machine
learning that involves particular kind of mathematical model.
Communication:
Communication plays
a very important role. Because conveying or explaining any problem and ability
to share data analytics to people is an important job for a data scientist.
Presentation or
visualization:
After collecting
data the next exclusive step is to how we extract that data in an attractive
and meaningful manner. The tools that
can be used for presentation are excel, Tableau, Qlik View, etc...
Whatever the data we have, the destination is how we are presenting them.
Salary of a Data Scientist
1. International
finance consulting firm, Software Engineer (Analytics), 9.5 LPA, Fresher
2. Silicon
Valley based startup, Data Scientist, 12 LPA, Fresher
3. Silicon
Valley based medium sized company, Member of Technical Staff, 14 LPA, one year
exp
4. Bangalore
based IT firm moving into the space of deep learning, R&D Engineer, 16 LPA,
one year exp
5. If you are from IIT/IIM/Ph.D you can bargain more.
Hope
this will help you to be a
Data
Scientist: New job opening---India has most jobs opportunities after the US.