A GUIDE TO THE DATA SCIENCE TECHNOLOGY?

INTRODUCTION

The data science technology is a technology which gathers the data of the consumer. When the data of the user is accumulated, this data is examined by some proficient people known as data scientists. The whole technology revolves around the collection and analysis of the data. The data science technology is beating all the traditional technologies of the technical industry. The data science technology helps the organizations or firms to make healthy relations with the customer. This technology is a boon to the business sector as well as technical industry. So, here we have discussed the implementation of the data science technology precisely. There are many applications of the data science technology. Two of them are artificial intelligence and machine learning. Many people think that both these technologies are same, but they are definitely not. The machine learning is a technique which is used for making the machines intelligent enough to execute and terminate the assigned tasks like a human being. The artificial intelligence is a technique in which we get to know how systems can be made intelligent. Both these technologies are completely different. The artificial intelligence and machine learning are the booming technologies in the technical industry. The data science technology has given birth to many new technologies. For example--> digital marketing, voice recognition, image recognition, business analytics and many more. Here, we will discuss which concepts are used in the data science technology, why these concepts are used and why the data science technology is important.

CONCEPTS OF THE DATA SCIENCE TECHNOLOGY

The data science technology is majorly based upon the concepts of mathematics and computer science. In mathematics, the concept of statistics is widely used. In statistics, we get the visual representation of the data. Statistics is used for analyzing the data. There is a concept in statistics known as linear regression. The linear regression is used for predicting values using variables. This is same as plotting the linear equations in one or two variables. From the linear regression, we get to know at which values the data or input is giving productive outputs.

On the other hand, the concepts of computer science are used for coding and programming the systems of the machines. There are many parts of the data science technology where the concepts of computer science are used.

FUTURE OF THE DATA SCIENCE TECHNOLOGY
The data science technology has a very bright future. The demand of this technology will increase for sure in the upcoming time. Students can seek a future in this technology. This is the best career option at the present time. Students who are interested in the same can go for data science technology. There are various fields in this technology. One more thing should be kept in mind if you are thinking of a future in the data science technology, Python programming language is a must for this technology. For more information, enroll in a course from ExcelR to become Data scientist Malaysia.