Big data analyzes what the contents of the course are.

In this issue, the editor will bring you about the contents of big data's analysis course. The article is rich in content and analyzes and narrates it from a professional point of view. I hope you can get something after reading this article.

Big data analyzed what he learned in the course:

Big data's technical major belongs to interdisciplinary disciplines: statistics, mathematics and computer science as three supporting disciplines; biology, medical zhi science, environmental science, economics, sociology and management as applied and expanding disciplines.

In addition, we also need to learn data acquisition, analysis, processing software, mathematical modeling software and computer programming language, etc., the knowledge structure is two specialized and multi-functional cross-border talents (professional knowledge, data thinking).

Take Renmin University of China as an example:

Basic courses: mathematical analysis, advanced algebra, introduction to general physical mathematics and information science, data structure, introduction to data science, introduction to programming, programming practice.

Required courses: discrete mathematics, probability and statistics, algorithm analysis and design, data computing intelligence, introduction to database systems, computer system foundations, parallel architecture and programming, unstructured big data analysis.

Elective courses: introduction to algorithm of data science, special topic of data science, practice of data science, practical development technology of Internet, sampling technology, statistical learning, regression analysis, random process.

The above is the content of big data's analysis course shared by the editor. If you happen to have similar doubts, you might as well refer to the above analysis to understand. If you want to know more about it, you are welcome to follow the industry information channel.