The relationship between big data and statistics: statistics is one of the three basic disciplines of big data, so the relationship between statistics and big data is still very close, but this has also led to a certain misunderstanding of some people, thinking that big data is statistics, statistics is big data.

In fact, although in the context of the big data era, the knowledge system of statistics has been adjusted to a certain extent, but the concept of statistics itself and big data still have a certain difference, statistics focuses on ways and means, while big data is more concerned about the whole process of data valorization, big data not only need statistical knowledge, but also need to have mathematical knowledge and computer knowledge. From another point of view, statistics for big data for data valorization to lay a certain foundation.

From the viewpoint of technical architecture, statistical knowledge is mainly applied in the field of big data analysis, and the statistical approach is one of the two main ways of big data analysis, and the other way of data analysis is machine learning. Therefore, for researchers and developers who major in the direction of big data analysis, it is still necessary to master the knowledge of statistics, which has formed a more systematic knowledge system in data analysis, and many techniques have been tested in practice.

In fact, for many people in the workplace, most of the data analysis tasks are based on statistical theory, including the use of data analysis tools also belong to the field of statistics.

From the future development trend, on the one hand, statistics will be further tilted to big data, including a lot of statistics graduate student topics, are gradually beginning to expand to the direction of big data, on the other hand, big data will be in the early stages of the development of a large number of statistics-related theories and techniques, which can also enhance the ability to apply the landing of big data-related technologies.