Data science is a career that keeps
evolving. This is the industry that keeps iterating. It is the extension of
concepts like machine learning, data mining, artificial intelligence and big
data analytics. This is a vast concept that deals with large data. Data can be
either structured or unstructured. As data science deals with big data, it is
more focused on the pre-processing and organizing the data than analyzing data.
v There are many
industries that make use of data science. Some of them are:
·
Agriculture
·
Marketing
·
Government
institutions
·
Rocket Science
·
Educational
institutions
·
Research
·
Manufacturing
industries
·
Telecommunication
industries
·
Entertainment
·
Small-scale industries
·
Large-scale industries
·
Medium-scale
industries
·
Internet
·
Computer Graphics
Data science uses the method of data
preparation, predictive modeling and statistical analysis of data to solve many
problems faced by individual sectors. It provides a lot of intelligence, growth
and development to an industry using big data analysis and data mining.
Understanding database plays a major role.
The reason behind this is that the database is the place where we store data in
the form of a repository. It is also required to have sufficient knowledge in
statistics. One such requirement could be the ability to code. Most of the languages
used to build a general structure to store data is python, R, Java.
Scope of a data scientist in the next few years-
According to a recent survey, it is said
that there will be 700,000 recruitments for the post of data scientists in 2020.
The reason is quite simple. The emergence rate of smartphones, use of internet,
gadgets is increasing day by day and so is the data. To maintain this
mechanism, the world requires a huge number of manpower with the appropriate
skills.
Nowadays, everything is happening online.
The salary that you get, the current bills are paid online, even your insurance
claims are done online. This involves the application of data analytics and use
of machine learning. Managing data is also an important skill. You should know
what kind of data is handled and in what way. If the system fails, it must
recover from it as soon as possible.
Job Prospects that enhance your career in the field of data science-
v Data analyst: the ability to analyze data and act on it in a way to
enhance the method of building it is called data analysis. Since we are going
to deal with much more data than we do right now, the importance of analysis
becomes important as well.
v Data Engineer: he is the one responsible for maintaining the structure
of storing the data, building, and working with it.
v Machine Learning Engineer: it is the ability of a machine to learn and
develop without depending only on the programmed version of itself. It is in
great demand and requires people to implement such a system.
v Data Scientist: the person who takes up the role of all of the above. He
is the one estimating the analysis of data, how it could be improvised and so
on.
Resource box:
As we saw, there is so much scope in the
field of data science, it would be an excellent decision to consider data
science as a career path. Considering this, ExcelR data science institute takes up the initiative of providing training and help build a
community of data science for future enhancement.
