STATISTICS IN DATA SCIENCE TECHNOLOGY?

WHY STATISTICS IS USED IN THE DATA SCIENCE TECHNOLOGY?


Here, we will discuss why it is required to use statistics for the implementation of this technology. We know that statistics is a concept of mathematics. In statistics, the data is represented in the form of graphs. In simple words, we can say that, using statistics we can represent the data visually. We get the desired result when the data science technology is implemented correctly. The main process of this technology is the analysis of the data. If the data is analyzed correctly, then the consumer will get the required result. For analyzing the data correctly, it is very important to understand the data. To understand the data deeply, it is required to store and represent data visually and in a structured format as well. This is the reason why statistics is used in the data science technology.




HOW STATISTICS IS IMPLEMENTED?


There is a method in statistics known as linear regression. There are many concepts of statistics which are used in the data science technology. Linear regression is one of those concepts. In linear regression, two variables are taken on a graph and then predictions are made on the basis of the data which is assigned to those variables. If you have ever learnt how to solve linear equations in one or two variables, you would understand the predictions made using the variables.

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