If I majored in applied statistics at university, would I need to bring a notebook to the classroom?

I don't know if you mean a computer or a general notebook.

If it is a computer, I suggest that it is best to prepare, the university is not only for classes, many places need to use computers, and now proficient in office software has become a rigid need for job hunting, if the family conditions and budget allow, buy a laptop that suits you, you can make good use of it during college.

If it's a general notebook, I think it's also needed. However, there is still a big difference between the university classroom and the middle school classroom. The pace of the university class is very fast, the content of the lecture is very miscellaneous, if it is difficult to write it down with a notebook, it is difficult to do it without leaving it behind, and the university class should focus on listening, after all, so much content is finished in one class, if you simply talk about textbook knowledge is completely unnecessary to occupy class time, the university is mainly self-study, the knowledge in the textbook depends on the consciousness of the students, most teachers will still add some knowledge points in class, so the university class is mainly listening, if you want to take notes, the auxiliary effect of electronic devices is better.

I believe that you are faster than the speed of handwriting, so use whichever is more efficient, and don't have the limitations of thinking.

Hope mine is helpful to you.

The study of each major in college requires note-taking, and the teacher will generally list some important points.

And when I took the exam, I basically focused on these notes.

Therefore, you should still bring a notebook, and you should record important knowledge points.

Generally there will be a need, but many schools have a room.

Summary. The following are some of the basic courses of applied statistics at Guangdong University of Finance:1

Advanced Mathematics: Provides a foundation for the study of calculus, which is a prerequisite for learning statistics and probability theory. 2.

Probability Theory: An introduction to the basic concepts and applications of probability and statistics. 3.

Statistical Inference: Introduces common principles and applications of statistical inference, including parameter estimation, hypothesis testing, analysis of variance, etc. 4.

Econometrics: involves the intersection of economics, statistics, and mathematics, including regression analysis, analysis of covariance, time series analysis, and more. 6.

Stochastic Process: This section introduces the basic principles and models of stochastic processes, including Markov chains, Poisson processes, and more.

I mainly want to consult about the major courses of applied statistics in my freshman year, and I don't need electives or anything like that.

Dear, is there a specific school you would like to consult, the specific curriculum of first-year applied statistics may vary depending on factors such as school, major, and curriculum.

Guangdong University of Finance.

The following are some of the basic courses of applied statistics at Guangdong University of Finance:1Further Mathematics:

Provides a foundation for calculus learning, which is a prerequisite for learning statistics and probability theory. 2.Probability Theory:

An introduction to the basic concepts and applications of probability and statistics. 3.Tongmin cavity meter inference:

This course introduces common principles and applications of statistical inference, including parameter estimation, hypothesis testing, analysis of variance, and more. 4.Quantitative Analysis:

It involves the intersection of economics, statistics, and mathematics, including regression analysis, analysis of covariance, time series analysis, and more. 6.Stochastic process:

This paper introduces the basic principles and models of stochastic processes, including Markov chains, Poisson processes, etc.

Dear, do you have specific ideas about career planning.

I mainly want to go to graduate school, but I don't have a career yet.

Here's a big thumbs up to you, if you go to graduate school, you have better job prospects and more opportunities, especially for statistics.

What is the specific direction of the graduate school entrance examination, can you find out?

Yes, you are a little older this year, and you will divide the professionalism more carefully if you are admitted to graduate school, whether you want to engage in a professional master's degree or a master's degree, the professional master's degree is easier to take the test, and you have a better chance of advancing to a doctorate when you learn to raise a master's degree.

Applied statistics is a discipline of data analysis and application of Yifeng Zhaomen, which has a good direction and employment prospects. The following are some introductions to the postgraduate entrance examination direction and employment prospects of applied statistics: Postgraduate Direction:

1.Master of Statistics: Most major universities have a Master of Science in Statistics, which is the best choice for graduate students in applied statistics or basic chain study, and it is also the only way to engage in statistical research.

2.Statistics: On the basis of applied statistics, you can choose more subdivided professional directions, such as biostatistics, medical statistics, financial statistics, social science statistics, actuarial science, etc.

Major courses in Applied Statistics: Mathematics Fundamentals (Analysis, Algebra, Geometry), Probability Theory, Mathematical Statistics, Operations Research, Computer Fundamentals, Applied Stochastic Processes, etc.

The main practical teaching links: including academic year**, social investigation, production internship and graduation**, etc., generally arranged for 10-20 weeks.

Applied Statistics Training Objectives:

This major mainly includes general statistics and economic statistics, and cultivates students with good mathematical or mathematical and economic literacy, mastering the basic theories and methods of statistics, and being able to use computers to analyze data proficiently.

Able to engage in the development, application and management of statistical surveys, statistical information management, quantitative analysis, etc. in enterprises, public institutions, economic and management departments, or engage in research and teaching work in scientific research and education departments.

Applied Statistics Training Requirements:

Students in this major mainly learn the basic theories and methods of statistics, lay a good foundation in mathematics, have good scientific literacy, receive basic training in theoretical research, application skills and use of computers, and have basic abilities in data processing and statistical analysis.

Multivariate statistical analysis.

Time series analysis.

Statistics**. Statistical decision-making.

Applied statistics.

Statistical software for statistical history applications.

National Accounts.

The major of applied statistics has a wide range of applications, so it is important to take advantage of the opportunity and study hard. Students studying this major should have a good foundation in mathematics, master the basic theories and methods of statistics, and be proficient in using computers to analyze data.

The employment prospects of applied statistics are very good, and fresh graduates can work in financial institutions such as statistical departments, economic management departments, banks, and insurance.

"Probability Theory and Mathematical Statistics", "Principles of Socio-Economic Statistics", "Industrial Statistics", "Agricultural Statistics", "Business Statistics", "Demographic Statistics", "Statistics of Comprehensive Balance of National Economy", "Western Economic Statistics" and other courses.

Statistics includes courses such as Fundamentals of Mathematics, Probability Theory, Mathematical Statistics, Operations Research, Computer Fundamentals, Applied Stochastic Processes, Practical Regression Analysis, Time Series Analysis, Multivariate Statistical Analysis, Sample Surveys, Nonparametric Statistics, etc. Statistics is a comprehensive science that uses searching, sorting, and analyzing data to infer the essence of the measured object, and even the future of the object. It uses a great deal of expertise in mathematics and other disciplines, and it covers almost all fields of social and natural sciences.

Statistics is a very old science, and it is generally believed that its theoretical research began in the time of Aristotle in ancient Greece and has a history of more than 2,300 years. It originated from the study of social and economic problems, and in the course of more than 2,000 years of development, statistics has gone through at least three stages of development: "city-state political situation", "political arithmetic" and "statistical analysis science". The so-called "mathematical statistics" is not a new discipline independent of statistics, to be exact:

It is a comprehensive term for all the new methods of collecting and analyzing data that statistics have developed in the third stage of development. Probability theory is the theoretical basis of mathematical statistical methods, but it does not belong to the category of statistics, but to the category of mathematics. Is it difficult to refer to statistics.

Requester[Cited on 2018-4-10].