About what courses in statistics are as follows:
I. Definition of Major
Applied statistics is mainly the study of the basic theories and methods of statistics for a large amount of data to be able to skillfully use the computer to process and analyze the data, to solve practical problems in various fields. To solve the practical problems in various fields. It mainly involves data analysis, data management, statistical surveys and so on.
The course system
Advanced Mathematics, Linear Algebra, Probability Theory and Mathematical Statistics, Introduction to Statistics, Multivariate Statistical Analysis, Statistical Modeling and R Software, Regression Analysis, Time Series Analysis, Econometrics, Data Mining, Python and Data Analysis, Database Techniques, and Fundamentals of Programming.
Three, development prospects, employment direction
Financial, consulting enterprises: data analysis, social surveys, risk management, actuaries; all kinds of enterprises: statistical surveys, statistical information management, quantitative analysis.
Four, the direction of the examination
Statistics, applied statistics, accounting, probability theory and mathematical statistics.
V. Courses in Applied Statistics
Mathematics: Mathematical Analysis, Advanced Algebra, Analytic Geometry, Functions of Real Variables and Generalized Function Analysis, Probability Theory, Optimization Theory and Methods.
Statistics: mathematical statistics, sampling survey, applied regression analysis, multivariate statistical analysis, time series analysis, nonparametric statistics, applied stochastic process, statistical computing and application software, statistical optimization in big data.
Computer: data structure and algorithm design, parallel computing and software design, data mining, database principles, machine learning and its applications, artificial intelligence.
Finance: microeconomics, econometrics, financial mathematics, financial modeling and program analysis, financial engineering, quantitative investment.
Lab and Practice: Introduction to Computational Thinking Lab, University Physics Lab, Data Structure and Algorithm Design Course Design, Data Mining Course Design, Machine Learning and its Application Course Design, Applied Regression Analysis Course Lab, Multivariate Statistical Analysis Course Lab, Time Series Analysis Course Lab, Statistical Computing and Application Software Course Lab, Engineering Training, Corporate Internship (Financial Big Data Analysis, software development and algorithm design).