What is Data
Science ?
Data Science means on the basis of analyzing the data we
take a marketing decision. Moreover we take analyzed data on behalf of which we
took a decision. This is called as Data Science. In this way ,you can make this
as an programming excel or use in any other platform.
Data Science is an inter-disciplinary field that uses
scientific methods, process, algorithms and systems to extract knowledge and
insights from many structural and unstructured data.
Concept of Data
Science:
In Data Science we hear a lot about Artificial Intelligence
and Machine Learning , which are going to change the world and how Internet of
things will make everyone’s life easier. But what is the one thing that
underpins of all these revolutionary technologies? The answer is Data from
social media to IOT devices for generating inmeasurable amount of Data .
Considering the cab service provider like Uber. As per current era we all must
have used Uber. What you think about Uber is a multi-million dollar worth company?
Is it that availability of cabs or Is it their service ? Well the answer is
Data which makes them very rich, but wait Is Data enough to grow a business,
obviously it isn’t we must know how to use Data to draw useful insights and
solve problems. This is where Data Science comes in. In simple words Data
Science is the process of using Data to find solutions or to predict outcomes
for a statement with a problem better to understand Data Science. Data Science
is related to Data Mining and Big Data.
Now in Data Science as we discussed earlier two things are
more popular one is Artificial
Intelligence and the second one is Machine
Learning. Let us try to
understand these concepts in brief.
You own a small company and people may have an idea to make
CRM , so what will you do is you may hire someone and tell him to collect
Data on a regular basis. Basically while growing , we need to hack at least 5K –
6K Database to analyze it properly. Once you collect the number of account then
you can easily make it on excel and the work will be done. But if you have a
lot of Data , For e.g., you are trying
to analyze Google’s Data or trying to
analyze the Data of that company which has over 100 branches and the daily Data
of each branch is more than 1lakh. So Are we able to make it on excel sheet ?
Assume that there will be many things which would work on monotonous basis.
Such as first addition will be done then subtraction and the process will be
going on. So here we do the same thing in programming instead of excel so it
will be called as Data Scientist.
What is Machine
Learning?
It means the machines are trying to learn how people behave.
For e.g., I just said “Ok Google” so in many phones this instruction opened and
on some phones it may not, so after that machine realized it didn’t open. Let
me give proper explanation with another e.g., Whenever we chat on Whatsapp they
ask us for rating. Some people rate 2 stars some 3 or 5 stars and some might be
different. So on behalf of the Data they try to analyze the Data on a broader
version. There are some various factors on which they try to analyze how was
the connection, what was the device specifications such as its RAM, its
Processing and many more. On excel we can consider maximum 2 or 3 factors and
if we want to consider more than that we have to set up big software , that’s
why the thing has been shifted to programming so we don’t need to spend money
on complex software while analyzing the Big Data.
Students whoever knows well about statistics , they need to
use statistics in order to analyzed bigger Data. Earlier when technology was
not updated then statistics were used to analyze Data. This is the reason we
are still learning about statistics. But now the software is launched on which
we just put the statistics and answer will come up on the screen automatically.
But suppose we need to make a thing for which no software is available so in
that situation we will make our own code to execute the data of statistics.
Benefits:
Products will improve. People will give ratings to Whatsapp
so in this way we can give Data to the machine, and doing business in this way(as
discussed in above) ultimately the work will be improved. If there is a service
industry as we know about the recent incident if a specific store is getting
bad reviews , overall company can see that it is not going good. That’s the
reason A big brand always ask you for filling a feedback form after using their
services, whereas earlier the feedback form was used to fill manually on papers
that’s why company hire people for Data entry. They just record the Data in
excel sheet. But where all the Data go for compiling. Suppose there are 30
stores in vizag, in other states there would be one person whose duty is to
collect Data of all the stores of Vizag and the same thing happens in the other
states. There would be another person who will put all the files of different
states together and then try to analyze Data in a broad term. He will try to
figure out what people likes or dislikes. Are they comfortable with new
products or not. People can’t even imagine how big the thing is. In every
process Data Science is being used. It doesn’t matters you are selling a
product on Amazon but we are discussing about a big companies but not small
ones, only those companies
who have big Database.
Data Science are used everywhere like if people want to
improve their product service or even if their process. For e.g., you have a
machine which manufactures something. So a person would be there who was
assigned to check machine, he analyze and reports that where the machine actually
lacks and how much time it takes to process and many other things.
A role of Data Scientist is analyzing the Data, and then
takes a decision but not coding. Suppose we take a large Data and test it. For
e.g., We show 2 types of advertisement to people.
One advertisement is related to Orange candy and other is
related to Mango candy. Now there are many people who likes Mango candy. So we
come to know people more prefer to Mango candy and after analyzing the Data we
increase the manufacturing of Mango candy and decrease the manufacturing of
Orange candy. So those are the works of Data Scientist. In beginning things won’t
be like but observing overall a discipline forms. In future large scale
companies will be working Data Driven approach. Whenever we go to a mall and
many a times people offer a free sample of product and only ask us for our
feedback form. They take our feedback and simply analyze Data and takes a
relevant decision.
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