What Is Data Science? Definition, Examples, and More

 What is Data Science in simple words?

Lets say you own a restaurant business and you have restaurant in Mumbai and Goa, As a business owner your local manager are sending you the monthly revenue : 

One approach you might take is by plotting a side by side bar chart and just by looking at graph you can say that Mumbai restaurant is not doing well so you can do more advertisement or run more ads for the Mumbai restaurant.

Thus, the data science is defined in the following points simply: 

1) You gather the data.

2) You examine it and draw conclusions from the information.

3) Following analysis, you develop a business strategy. 

You can work with or study the data in an excel file if and only if the volume of the data is not very large. However, today's data is Big Data, so you must use Python and R to analyse it. You also need Apache Hadoop and Apache Spark for data storage and distributed computing, Jupyter, Tableau, Power BI, Matplotlib for visualisation, and Tensor Flow and Scikit Learn for deep learning.

Examples of applications of data science include:

 1. Amazon uses its data to offer products to you; it may do so by considering both location and historical behaviour.

2. In the health care sector, data from different devices may be beneficial for predictive analysis (smart watches)