7 Unbelievable Ways Data Science Is Transforming The World

Data Analytics is taking over the world in a very real way. More and more millennials are aspiring for data jobs and data scientist is the go-to profession for tech enthusiasts. Data analytics is basically the study of data, which enables us to get information out of them. Data science basically makes use of algorithms and scientific methods to extract information out of data. More and more young people are eager to learn data science and make use of it professionally, so as to make a career out of it.

But who is a data scientist, really? What does he or she do? A Data scientist’s skills mainly involve processing data, so as to make good use of them. They learn data science, but more importantly, they are trained to handle an enormous amount of jumbled up data and then use their educational and programming skills to assess them and extract information out of them.

How is it shaping showbiz?

Did you know data science is helping Hollywood see through its own flaws, and do away with the mistakes of its past, to make more profits? Vinny Bruzzese, who has been assessing scripts for years now, has made use of the data that is available to him about the past Hollywood ventures. A data scientist’s skills involve looking through the data, and that is exactly what Vinny does. Vinny and his analytics team compare the draft of scripts and its plots to that of previous films released and tells the producers what needs to be changed to make a successful venture.

Analytics in sports

Data Analytics are of course, playing a huge role in sports too. Statistics have been a part of the American sports industry and is very functional in the grass root levels too. But with data science, data is being gathered by the sports teams so as to help their players gain a better perspective at their game. Be it baseball or basketball, data analytics is revolutionizing the sports industry which brings in billions of dollars every year. In fact, most major sports teams have their team of analysts to collect and compare data.

How does data science help in disaster management?

One of the best ways data science is changing the world is by being a productive part of disaster management. Quite predictably, the data analytics uses a number of factors like sensors, planning, resources etc to understand the impact of a disaster. Crisis response teams, especially, need data sciences to assimilate the data pertaining to the disaster and prepare better and also to help in the present rescue operations.

It is improving healthcare

If you’ve ever wondered about data science’s role in healthcare, you must know that the data analytics has in a way saved the medical industry. In healthcare, doctors and scientists have access to a sea of information about their patients, and about the history of a disease or its potential outcome. With the help of wearables data and efficient self-learning softwares, data analytics has improved healthcare exponentially.

Data Analytics is a boost for education

Data sciences and education have a codependent relationship. More and more schools are offering course which will allow individuals to acquire data scientist skills and actually acquire a degree in the field so as to make a career out of it. Analytics is also helping the education system to monitor the direction on which the education system is headed, as it can accumulate individual data, as well as a comprehensive one.

Data Analytics and politics

In the last couple of years, the relationship between data sciences and politics have gone through a lot. It is obvious how data science and collection of data can shape the history of a country, and yet, it can also help the country’s people and political parties make better and more informed decision. In spite of the pitfalls, it is important to remember that data sciences help the common man get a perspective on his or her economic and cultural situation, which also gives them an ability to make smarter decisions.

Data science is working towards the cause of poverty

It is very essential to understand the context behind the poverty and inadequate resources in third world countries. Only with a clear perception of the problem can we come to a productive solution to deal with the situation. Non governmental organizations and of course, government ones make use of data sciences to get a better grasp at the population, healthcare, economy of a country so as to understand how to fix poverty.