What category is big data's major?
What this article shares with you is about what category big data majors are. The editor thinks it is very practical, so I share it with you. I hope you can get something after reading this article. Without saying much, let's take a look at it with the editor.
Big data belongs to the major of mathematics, and the related majors include information and computational science, mathematics and applied mathematics, and statistics. Big data is a new discipline produced by the intersection of many disciplines and statistics. Big data is involved in data mining and cloud computing, so it is a major in mathematics.
The main results are as follows: (1) Statistics is a comprehensive science to infer the nature of the tested object and even predict the future of the object by means of searching, collating, analyzing and describing the data. It uses a lot of professional knowledge of mathematics and other disciplines, and its scope of use covers almost every field of social science and natural science.
(2) Mathematics and applied mathematics is a discipline major, which trains students to master the basic theories and methods of mathematical science, has the ability to use mathematical knowledge and computers to solve practical problems, and receives preliminary training in scientific research. Senior professionals who can engage in research and teaching in science and technology, education and economic sectors, or in practical application, development, research and management in production, operation and management departments.
(3) the major of information and computing science is a more in-depth and professional cross-discipline that combines mathematics with information and management against the background of the information field.
Brief introduction of big data's major
Big data major will systematically help enterprises master the solutions to various typical problems in big data's application from three main aspects of big data's application (namely, data management, system development, massive data analysis and mining). It includes the implementation and analysis of collaborative filtering algorithm, running and learning classification algorithm, the construction and benchmark test of distributed Hadoop cluster, the construction and benchmark test of distributed Hbase cluster, the implementation of a parallel algorithm based on Mapreduce, the deployment of Hive and the implementation of a data operation, etc., which actually improve the ability of enterprises to solve practical problems.
Big data field of talent demand for a large amount, many levels, a wide range, the industry for talent demand is blowout growth, related industries have a huge demand for jobs.
These are the categories of big data's major. The editor believes that there are some knowledge points that we may see or use in our daily work. I hope you can learn more from this article. For more details, please follow the industry information channel.
