Data Science A Beginners Guide

Written By
Published on December 24th, 2020

This article is all about a
mini-guide to Data Science enthusiasts and someone who’s planning to enter this
field. Data is a vital part of the Internet. Big companies like Apple, Google,
Netflix, Facebook, etc., have storages of data. The question is – What they do
with it? They use it as resources to further grow the organization and increase
the level of customer experience.

Sounds easy? It’s not! Data scientists, with their
skills and expertise, does all the magic behind getting those data.

Table of Contents

What is Data Science?

Data Science is a combination of various tools,
algorithms, and machine learning systems to identify hidden patterns from the
raw and original data. The extraction of critical information from large
quantities of data is done through algorithms, processes, and various
scientific methods. It is one of the most highly demanded services presently.

Why Data Science?

Long back, the data that we had was mostly small and
structured, which was analyzed by using simple Business Intelligence tools.
Today, most of the data is unstructured or semi-structured. Why? Because the
data is generated from different sources like financial logs, text files,
multimedia forms, sensors, and instruments. Simple BI tools are not enough to
process such a huge volume of data. According to a report, by the end of 2020,
more than 80% of the data will be unstructured. And that’s why data science is
in need along with skilled data scientists.

What does a Data Scientist do?

As we live in the Big Data Era, Data Science is
becoming a very promising field to gather and process huge volumes of data
generated from various sources. Data science consists of several elements,
techniques, and theories including math, statistics, predictive analysis, data modeling, data engineering, data mining, and visualization.

The main purpose of a Data Scientist is to extract and
interpret data effectively and present it in a simple, non-technical language
to the end-users. They can increase customer loyalty for your company as they
make it possible to perform sentiment analysis. Its to recommend the exact
product that your customer demands. Data scientists need to be creative in
visualizing the data in various graphical forms and present highly complicated
data simply. If a Data scientist can convert those structured as well as
unstructured data (images, videos, log files etc ) into a very easy and simple
format, he is a true data scientist!

Whether we call them Data Gurus, Data Experts, or by
some other superior name, the fundamentals remain the same! The companies are
on the lookout for smart and creative people who can dive into the ocean of Big
Data and provide valuable insights to the businesses. Do you think you have the
capability to work with the data? If yes, get in touch with us!