What do statisticians generally need to learn?

Question 1: What do you need to learn to be a statistician? Please thank you. 1 Learning statistics must have a mathematical foundation, and the minimum is economic mathematics and mathematical statistics probability. Secondly, without secondary school or above, you can't apply for statisticians. Third, the best place to learn this job is the private statistics bureau. The fourth suggestion is to take the adult college entrance examination and report to the statistics major or accounting major of Gao Qi University.

Question 2: What qualifications do you need to be a statistician? 1. To register for the primary and intermediate statistical qualification examinations, the following basic conditions shall be met:

(1) Support China's basic line in the primary stage of socialism and abide by the law.

(2) Love statistical work, be able to perform job responsibilities, complete their own work tasks, and abide by professional ethics.

2. Those who register for the primary qualification examination of statistics major must also have a high school diploma or above.

According to the spirit of the Notice of the General Office of the Ministry of Personnel on Issues Related to the Qualification Examination Arrangement and Examination Work of Some Professional and Technical Personnel (No.45 [2004] issued by the Ministry of Personnel), fresh graduates who participated in this year's primary qualification examination for statistics majors must register at the registration point with valid certificates (such as student ID cards) that can prove their graduation within the examination year and graduation certificates issued by the school.

Question 3: What qualifications do statisticians need? Do you want to be a statistician? Our trick

Question 4: Is statistics promising? What should I study? The future of statistics! Development and Employment Prospects of Statistics in China I. Preface In the era of planned economy in China, statistics and planning were inseparable. At that time, statistics was a popular major, just like today's computer and accounting majors; Now is the era of market economy, and the employment situation of statistics major seems to be not optimistic. There are too many political factors in the development of China, which are seriously affected and hindered by the planned economy. The author thinks that statistics is not only social and economic statistics, but also the science of data processing in a broad sense. Throughout the development of western statistics, a large number of statisticians and econometricians have won the Nobel Prize in Economics, which is inseparable from quantitative research. If China wants to make great progress in statistics, it should look at statistics from a broader perspective. Second, the development and employment prospects of China's statistics In recent years, the development of China's statistics has made a great leap, showing a diversified development trend. The development field of statistics itself is not only broader, but also widely used in computer science, information science, economics, management, financial engineering and other fields, which are strongly combined with each other and develop together. 1. Computers are the basic tools of statistics. For statistics, we should see that computers, like mathematics, are the basic tools of statistics. With the development of computer, more complicated data calculation becomes simple and fast, and becomes an important tool for statistical calculation. Nowadays, with the popularity of personal computers and the use of the Internet, great changes have taken place in society, and the quality and quantity of information transmission have changed by leaps and bounds. The development of statistics is inseparable from computers. There is no doubt that our students should learn relevant computer science knowledge. This will include data structure, algorithm design, programming language design, programming methods, database system development and management, programming and so on. We should also expand our curriculum plan, which should include the current computer-oriented data analysis methods, most of which are developed outside the statistical discipline. In this way, it will undoubtedly greatly enrich the employment scope of statistics specialty. 2. Data mining is a part of statistics. In my opinion, data mining is closely related to statistics and should be a part of statistics. Data mining is a discipline that reveals the patterns existing in data and the relationship between data, and it emphasizes the processing of a large number of observed databases. It is an interdisciplinary subject involving database management, artificial intelligence, machine learning, pattern recognition and data visualization. From the statistical point of view, it can be considered as an automatic exploratory analysis of a large number of complex data sets through computers. Since data mining is also data processing, we should actively learn from statistics. In the development history of statistics, many new methods developed in data processing related fields have been ignored. Such as pattern recognition, neural network, graphic model, data visualization, etc. They are all methodological fields sprouting in statistical science, but most of them are ignored by statistics. These methods are all high-tech fields in the world today, and it is painful for statistics to ignore them. Therefore, since statistics can play a role in data mining science, statistics should cooperate with data mining instead of throwing it at computer scientists, thus losing another chance of self-appreciation. 2 1 century is the century of information. Statistics will be closely combined with computers and data mining, and will be widely used in a brand-new form. According to statistics, the employment rate of computer major is as high as 90%. With the development of statistics, this share will be divided up by statistical professionals. Because most computer professionals lack the necessary theories and methods of data statistical analysis, and the times have put forward higher requirements for the accuracy and credibility of data, compound talents with modern statistical technology, computer technology and data mining technology are undoubtedly more popular. 3. The combination of statistics with economics, management and financial engineering. Because the methods of data processing and data acquisition and mining are diversified, the statistical analysis methods are relatively complex and specialized. The application of statistics should not only improve the basic quality of theoretical statistics, but also pay attention to mastering economic theory, financial trading system and financial theory, management science theory and computer technology methods. The close combination of statistical theory and application is more urgent and important than ever before. As far as statistics and financial engineering are concerned, financial engineering is an interdisciplinary subject, including the following three areas: (1) investment analysis; (2) Risk management; (3) Futures trading. In which ............................... >>

Question 5: Do statisticians have to study at school? Statistician 1, responsible for setting the company's sales and order numerical targets, decomposing the targets and managing them over time. 2. Track and analyze the completion of sales targets and inventory indicators, and submit feasible solutions; 3. Be responsible for formulating commodity management work norms and operating procedures, organizing commodity MD meetings, and organizing training related to commodity allocation; 4. Be responsible for the analysis of the company's operation, including the analysis of channels, consumers, commodities and competitive brands, provide high-quality analysis reports, and provide feasible suggestions for the company's market development and marketing strategy formulation; 5. Preparation of production plan. Supervision of production plan. Tracking of production progress. Statistics of production data. Task list released 10. Daily production scheduling management company strategic planning, management company comprehensive planning, management company economic activity analysis company statistical work management company performance management company quality system certification and management familiar with cashier work, proficient in all kinds of EXCEL use. Familiar with internal audit, financial ERP process, UFIDA software, import and export business, ISO900 1, ISO 14000 document writing and training. So you have to learn a lot and you have to go to school.

Question 6: What skills do statisticians need to master when seeking help in Excel: charts, perspective views and simple functions.

If you want to improve, you can learn simple VBA words.

Question 7: What basic accounting knowledge should accounting and statistics majors learn, such as advanced finance, financial management, economics, economic law, tax law, management, etc.

Question 8: What useful documents do statistics majors need to bring? Statistical qualification certificate and statistical title (junior, middle and senior statisticians)

Question 9: What do you need to learn to do statistical work with computers? You can sign up for a class in this field and get a certificate in the first half of the year. Not bad, depending on how you learn, it's easier to find.

Question 10: What courses do you need to study statistics? Compulsory courses: quantile regression, computer-intensive calculation, financial risk analysis technology, time series analysis, multivariate statistical analysis, statistical model, sampling technology and method, statistical inference, random analysis and nonparametric statistics.

Elective courses: statistical diagnosis, financial economics, modern statistical theory and methods, data mining and statistical machine learning seminar, high-frequency financial data analysis and random analysis and other elective courses.