What is Methods of Data Science Technology

Methods of Data Science Technology

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.

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.