1. What subjects are statistics majors related to?

Statistics is an interdisciplinary subject between natural science and social science, which has important applications in many disciplines and specialties. Mathematics is a subject closely related to statistics in universities and research institutions. In addition, statistics are widely used in other disciplines and fields, including economics, sociology, psychology, medicine, environmental science, marketing, finance and so on.

Two, statistical professional skills requirements include the following aspects.

1, Mathematical Basis: Statistics is based on a solid mathematical foundation, so it is necessary to master advanced mathematics, linear algebra, probability theory and other mathematical knowledge.

2. Data analysis ability: Statistics majors need to have strong data analysis ability, be able to process and analyze a large number of data, and use statistical methods to model and infer data.

3. Application of statistical software: Skillful use of statistical software tools such as R and Python is a basic skill for statistics students. These tools can help analysts with data processing, visualization and model building.

4. Ability to solve problems: Statistics majors need to have strong ability to solve problems, find problems from data, make assumptions, design experiments and analyze results to support decision-making.

5. Critical thinking: Statistics majors need to have critical thinking, be able to analyze and evaluate the applicability of statistical methods, and avoid misuse of statistical methods leading to wrong conclusions.

Which statistics majors in China University are strong points?

Peking University, Tsinghua University, Fudan University, Shanghai Jiaotong University and Zhejiang University are famous for their excellent teachers and rich teaching and research resources. Provide systematic statistical education to cultivate students' statistical thinking and data analysis ability. Students can be exposed to the latest statistical methods and application fields to prepare for future academic research or industry development.