4 REAL TIME APPLICATIONS OF DATA SCIENCE

 

Let us start with the fact “Data science has become fuel for industries”. Yes, there is no industry in the world that does not use data. Since data is the most required thing in industries. Data science has large number of applications and it is ruling the industries in the world today in order to grow their business and to increase customer satisfaction. In this blog, we will see some amazing applications of data science which has transformed the world. Before seeing the applications, let us know what data science is?.. Data science deals with large volumes of data that uses complex algorithms and modern tools to find unseen patterns, retrieves meaningful information and make business decisions. Data scientists apply machine learning algorithms to images, videos, text to produce AI systems to perform tasks that ordinarily require human intelligence.  

Now, we shall have some simple applications of data science that you come up on your daily basis. The recommended movies appearing on your Netflix account, Face lock which you keep for your security purpose, search engines too uses data science to deliver faster results for our searched query in fraction of seconds, ecommerce sites targeting their ads.. it goes on.. Let us have a look on detailed real life data science applications used in 4 major domains such as

1.Health care

2.E-commerce

3.Sports

4.Education

 

1. HEALTHCARE:

Everybody will be wondering how data science is used in medical fields. There are several fields in healthcare such as genetics, drug discovery, medical imaging, interaction of patients with chat bot which uses data science. We will look about the primary thing medical imaging. We all have rough idea about medical imaging which is nothing but X-rays, MRI, CT Scan and we use this techniques to view inner parts of human body. Earlier it was difficult to find microscopic defects of organs so doctors could not suggest proper diagnosis.

Later applying deep learning technologies in data science, it has become quite easier to search for defects present in scanned images through image segmentation. Data scientists are working on more advanced techniques to improve the quality of image analysis. There is a recent study published by Google AI which diagnosis skin diseases using deep learning. It is created such that it can diagnose 26 skin diseases with accuracy of 97 %.This model is performed using deep neural works, machine learning and data science.

 

2. E-COMMERCE:

Data science has revolutionized the e-commerce sites by gathering customers web behavior, their interests towards  products, their shopping patterns and thus working towards customers experience and satisfaction simultaneously gaining profit for their  own sites.

Let’s have a look on inventory management .Inventory management is nothing but an organization which had invested money on purchasing stocks of goods and the amount of money spent remains idle till it is sold. Whenever there is demand for the products the suppliers should be able to stock and deliver the products on right time in desired quantities. Data science is applied by using powerful machine learning algorithms which analyzes the data between stock and supply patterns and comes with strategy to increase sales and manage their inventory stock.

 

3. SPORTS:

Data is a major part played in sports in the place of signings, tactics, betting, decision making too. Predictive analysis in sports is carried out to give idea about the preparations to be done by a particular team on the day of the game.

For eg ,website such as cricbuzz, uses data science to predict the players performance and teams and gives the probability of ultimate victory. Combining the predictive analysis with ml models and algorithms we will be in the state to predict the players individual performance, gaming order on the day of the match by considering the data of the player’s history, his playing against opponent player as well as his/her fitness. Analysis is done by player analysis, team analysis, fans management analysis.

 

4. EDUCATION:

Data science plays a key role in making education better for society. It has many applications such as monitoring mentor’s and student’s performance, social-emotional skills, Improvising the curriculum.  Lets take the example of a scenario which took place in The University Of Florida .

students enroll in colleges in the hope of making a career. But due to financial crisis or some personal issues students drop out while pursuing their degree. In order to overcome this, the university took help of these two models predictive analytics and data modeling, it reports, analyzes, monitors events through interactive visualization. It uses various variables like student background, high school grades, the economic background to assess the dropout probability for the students. Therefore, it will help the university for making prior policies for deduction of their academic fees for the students who are on the verge of dropping out.

Finally, we came across major domains using data science and still there are lot of applications of data science that we come up in this world. ”Torture the data, and it will confess to any thing” by RONALD COASE. so start exploring, inventing  and contribute your ideas and stay engaged for more blogs.