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.
 

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!