There are two main connotations: one is to study the data itself; The other is to provide a new method for natural science and social science research, which is called the data method of scientific research.
The research of data science usually has two general directions, one is to explore the characteristics and laws of data itself, and the other is to analyze and apply data. Then this problem becomes the significance of our research on data and its application. Research data itself is to pave the way for application. Everyone has a basic grasp of the inherent laws of data before they can talk about applications. Speaking of image points, we must first master the concept and principle of "the car stops as soon as you step on the accelerator", and then drive according to these basic principles. Simply studying the data itself, if it is not put into application, then it lacks practical significance. However, this process is helpful to our personal thinking. For example, data modeling will help us cultivate the sensitivity of discovering the structure of things; Functional mapping of data will let us learn to find the logic between things; Adding or deleting information will help us cultivate a strict attitude towards things; Judging the reliability and validity of data will give us more critical thinking; The philosophy of data will make us understand the combined aesthetic feeling of cross analysis between different variables, and then realize the relative static and absolute motion characteristics of things. In fact, pure research data is only a general statement. Data comes from data research. Life is higher than life, and it is not completely divorced from application. Then the application is divided into two general directions: natural science and social science. About natural science, we say artificial intelligence, VR and so on. It is inseparable from the application of accurate data algorithms. As I come from a management background, I mainly discuss social humanities. What is the significance of studying data science for studying social and humanistic issues? Let me give three simple examples (too abstruse to mention): the government. When there is a public crisis, what should we do first? Keep it steady. The most important thing to maintain stability is to control public opinion. So how do we gain insight and analyze public opinion? Data. Through massive information collection, intelligent semantic analysis, natural language processing, data mining, machine learning and other technologies, the government continuously monitors information such as blogs, Weibo and WeChat on the whole network, so as to grasp the dynamics of all kinds of information in a timely and comprehensive manner. In the dynamic development and change of data, the government can explore the signs of events, sum up the tendency of public opinion, and then grasp the attitude and mood of the public. Finally, combining historical similarities and similar events, we can predict trends and formulate coping strategies. It can be seen here that data science is not equal to mathematical research. Based on mathematical research, data science is a cross-border and comprehensive application of a discipline. In business. We often talk about using big data for data mining to achieve accurate advertising. Dig out consumers' shopping preferences, economic level and active frequency. In order to put forward product suggestions consistent with and related to its group characteristics. Academic aspects. I personally think that the academic application of data science in humanities and social sciences is more of a hypothesis test. For example, to study "the influencing factors of family parenting style", we can take the classification of parenting style as dependent variables and those influencing factors as independent variables, and establish a model between variables. Then collect and sort out the data, scientifically distribute effective and credible questionnaires, and then find out the influence weight of each factor in the independent variable and the law of the dependent variable by analyzing the data. Before doing this project, we will have a relevant basic hypothesis or guess, and the results of data analysis can play a role in verification. To sum up: studying data science can make your brain more flexible. Then cross-border applications can be carried out, triggering a technological revolution that changes the world and helping you embark on the road of kings.