Statistical Thinking Research under the Background of Big Data
Published: BILINGUAL PUBLISHING CO.
Date of Publication: 2019
Statistics itself is a multidisciplinary discipline, the content has its own independence, and it can also be combined with other disciplines to complement each other. Statistics itself is a separate system, but they can also connect with other disciplines, forming a whole new cross-discipline into different categories, for example, and social, economic, demographic and so on. This is the background of today's big data era where people attach great importance to data. There are more and more researches on data processing, both in theory and in practice. The role of statistics, also more fully, has demonstrated its value in many fields. In addition to the traditional statistical aspects, and there are also some in-depth learning techniques for data, including some virtual reality technology, Statistics are the foundation of these techniques.
In the time of big data, people are already aware of the reality of entering this era; however, many people did not realize what the essence of big data's time was. Against this background of the times, what knowledge do we need to master? In today's big data era, data is closely related to people, and data processing is inseparable from statistics, with the help of statistical knowledge, big data played an effective role. It is statistics that make the data more convincing. Nowadays, people's study, work and life are inseparable from data. Wherever you go, you need the support of data. For example, when people travel, they need big data to carry out route navigation. Analysis of road surface data, including some route planning, road condition analysis and so on, which need to use statistical analysis data to complete; people's shopping needs systems based on the records of shopping sites and searches, Recommend products that may be of interest to users, and commodity recommendations require statistical data analysis; people need statistics to compare and analyze the data in order to find the data. According to the key words put forward by the user, the corresponding search information is found and sorted. There are numerous examples of this, which proves the important role of statistics in today's social context.
Now they are enjoying big data's daily convenience to people. In 2002, statistics were applied, but many people were unaware of the problem. It's not possible for ordinary people to go deep into data analysis techniques, and it's impossible for everyone to be an expert in statistics, but people are living in this era, and it's necessary to know the basics of statistics. Master some basic principles of statistics, can use statistical thinking, the application of basic methods to solve some simple problems. Mastering these things is not an extremely difficult thing, nor is it a matter of opportunity, but a certain amount of fun to make people keep up with the current trend of the times and make statistics more deeply rooted in the minds of the people. The statistical thought in the current big data has become an important thought of people in daily life. Statistics are also becoming more and more widely concerned, and many schools have a statistical specialty. A lot of parents are aware of the value of statistics; let their children enroll in statistics majors to learn statistics knowledge, more and more experts and scholars are experiencing it.
The study of statistics shows the importance of statistics today. There is no denying that the correlation of statistics is really very important in people's daily work. Marketers need to master statistical knowledge, data analysis, and achieve good marketing results; product managers need to use statistics to process customer information and better improve the product. In order to meet the needs of the user; the assistant manager needs to use the relevant knowledge of statistics to process the data to get the approval of the manager.
More and more people have realized the importance of statistics. However, there is still a psychological state of dread for the knowledge of statistics. It is considered that the data report is extremely complicated, and the complicated calculation formula makes it difficult for ordinary people to master, but it takes a lot of time to master the knowledge of statistics. But in fact, statistics is not just a lot of complicated formulas and sophisticated theories, and it doesn't need to be mastered. You can still learn some basic principles and methods of statistics, it's not necessary that people have a complete grasp of the source and calculation process of statistics, just set up statistical thinking to solve practical problems. This book is a good choice for readers who want to understand the basic principles and simple knowledge of statistics, including the basic principles of statistics, but also contains a wealth of practical cases, so that readers can learn more easily the basic knowledge of statistics.