Applications of data science

Question

I know data science is the big thing, but where exactly is it being used?

Answer 1

Data science is used almost everywhere these days:

• Internet search
• Digital advertisements 
• Recommender systems
• Image recognition
• speech recognition

Answer 2

Few applications of data science are:

• Predicting the Best Retail Location
• ​Predicting why patients are being readmitted
• Detecting insurance fraud
• Detecting Who To Call Fundraisers

Answer 3

Hello

The simplest answer for this question will be ," Data Science Concept are used where Data are being stored' . If we store some data for future use then we need some concept of Data Science. And we are well aware that we tends to keep Data from small business to a big industries. Then you can just imagine the application of Data Science. let me help you to understand it more clearly with the help of an example of a stadium where different items like chips ,water, burger etc are being sold. A Data Scientist use the past data of how much item are sold in a particular stand and gives suggestion on where an item is to be sold so that they can make maximum sells.

Some of the major application of Data Science are:

• Digital Advertisement
• Image recognition 
• Gaming
• Route planning for train or Planes

Actually Data Science has so much application and is so much demanded in today's world. It will be a great move to pursue a course for Data Science but we should remember that knowledge matters . If anyone is interested in pursuing a course for Data Science then I suggest you to pursue your course from  one of the Best Data Science Courses and gain all the skills and knowledge required . 

Thank You

Answer 4

Data science is a field of Big Data geared toward providing meaningful information based on large amounts of complex data.

 Data science concept used in many Application such as

1. Image recognition
2. Gaming
3. Speech recognition
4. Price comparison 
5. Airline route planning
6. Fraud and risk detection 
7. Delivery logistics
8. Recommender systems
9. Digital advertisement