Introduction

Data Science Technology is the technology which is now ruling all other technologies in the technical industry. The whole technical industry likes Data Science Technology, which is why it is growing at such a fast rate. Data Science Technology has also given rise to new technologies such as artificial intelligence, machine learning, and digital marketing. All these technologies are the applications of Data Science Technology but each application is a whole technology in itself. Artificial intelligence and machine learning are the technologies which are used to make machines or devices intelligent and smart. Digital marketing is the technology used for doing marketing of the products with the help of digital machines. There are many applications of Data Science Technology and all these are related to each other. Data Science Technology is used for gathering the data from the user and extracting what is useful from it. The collection and analysis of the data is certainly not an easy process and has to be done by skilled persons known as data scientists. These data scientists use many methods to accomplish the same task. Here, we will discuss the methods of Data Science Technology that are used for collecting and analyzing data.

Methods of Data Science Technology

As discussed above, there are many methods of the data science technology which are used for gathering and analyzing of the data. These methods include

Data Mining
Data Exploration
Data Integration
Statistics
Mathematics
Pattern Recognition and many more

What Is Data Mining?

Data mining is an important process or method of Data Science Technology. In Data Mining, the collected data from the user is analyzed at a very high level. The next question arises is: How is the analysis of data done, and which things are analyzed in Data Mining? In this process, the patterns in the data are analyzed. For example: When we do online shopping, we get suggestions for certain products. This is done through recognizing a customer’s shopping habits. The data scientist recognizes the customer’s shopping pattern and gives the best desired results accordingly. The analysis of the data is the most important stage in the whole Data Science Technology. This pattern recognition is the data mining process of Data Science Technology.

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What Is Data Integration?

Data Integration is also an important process in Data Science Technology. In Data Integration, the relevant data from various sources is combined. Data Science Technology gathers the data from millions of users. There is an ocean of data and from this ocean, relevant data is combined and processed. Another method is used for extracting the relevant data from the collected data. Data integration is used for integrating similar types of data.

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