Why Data Science? & Why it’s so important?

Now we have a clear idea about what data science is and about the history of the data science. Will now explore why we need something like data science and what’s the importance of the data science to the world. 

Before that will look at why data matters this much in the current world.

Data is the electricity in the current world, Fuel to run the world. As it was mentioned in the 1^st article, we are living in the age of the 4^th industrial revolution. Which is the era od Artificial Intelligence and Big Data.  There is a massive data explosion that has resulted in the culmination of new technologies and smarter products. Around 2.5 exabytes of Data is created each day. The need for data has risen tremendously in the last decade.

Just think of this amount of data produced in every millisecond throughout the world! Then assume the world without data science! All the data will be just another raw material simply a rubbish which will be gathered and disposed without any usage.

Before data scientist there were statisticians who use data. These statisticians experienced in qualitative analysis of data and companies employed them to analyze their overall performance and sales. With the advent of a computing process, cloud storage, and analytical tools, the field of computer science merged with statistics.

 This gave birth to Data Science!

Data is a magic while data scientists are wizards who know how to use data in a insightful way. Data Scientist will know how to dig out meaningful information with whatever data he comes across. He helps the company in the right direction.

Summarizing Data science or data-driven science enables better decision making, predictive analysis, and pattern discovery. It lets you.

Before

·         Find the leading cause of a problem by asking the right questions.

·         Perform exploratory study on the data.

·         Model the data using various algorithms. 

·         Communicate and visualize the results via graphs, dashboards, etc.

In practice, data science is already helping the airline industry predict disruptions in travel to alleviate the pain for both airlines and passengers. With the help of data science, airlines can optimize operations in many ways, including:

·         Plan routes and decide whether to schedule direct or connecting flights.

·         Build predictive analytics models to forecast flight delays.

·         Offer personalized promotional offers based on customers booking patterns. 

Decide which class of planes to purchase for better overall performance.