The position of data analyst has distinctive characteristics of the times and great demand, in the undergraduate stage of the statistical profession to actively explore the cultivation of college students' data analysis ability, and then provide the community with qualified data analysts talents effective countermeasures, has an important research value and practical significance.

First, the significance of the training of data analysts

(a) the training of data analysts in line with the national strategy

In order to adapt to the process of integration of the world economy, and to completely change China's "project data analysis The projects involved have expanded from the initial analysis and evaluation industry and financial industry to many fields such as accountants, investment and financing institutions, government approval and enterprise management. With the advent of the big data era, the construction of big data research platforms, the integration of innovative resources, the implementation of "special programs" has become one of the priorities of each province and city.

(2) The employment prospects of data analysts are bright

Today, in what is regarded as the "Year of the Data", data analysts are internationally renowned for their generous treatment and respectable status, and were once hailed as "the five hottest jobs of the 21st century" by Times Magazine. "The most popular five emerging industries in the 21st century. Today, the domestic data analytics industry professionals in the thousands of non-speed growth each year, the same period of time, the various industry sectors have reached nearly 200,000 vacant positions, the future of China's demand for data analysts is a blowout trend.

In the training of data analytics talent, foreign countries have data analysts as a national strategy. According to statistics, more than 90% of the world's top 500 companies have established data analysis departments. The huge demand for data analysts in the era of big data has also greatly stimulated the enthusiasm of colleges and universities for training.

Second, the training of data analysts professional quality

Through the major recruitment website data analysts, market research analysts and other positions in the collection and collation of recruitment information and in-depth analysis, digging and summarize the social employers of the position of data analysts in the knowledge, skills, and ethical quality of the specific requirements are as follows:

(a) the professional connotation of the data analyst

Data analyst refers to the different industries, specializing in data collection, collation, analysis, and based on the data to make the industry or market research, assessment and forecasting professionals; is based on actual data, the project status and the long term for statistics, analysis, forecasting and transformed into decision-making It is a professional who can analyze, forecast and transform the current and long-term project status into decision-making information based on actual data. Data analysts can master a large number of industry data, the use of scientific computing tools, the principles of economics and mathematical models combined to carry out scientific and reasonable quantitative analysis, data analysts can predict the future earnings and risks for the enterprise, for business decision-making to provide scientific quantitative analysis of the basis. Data Analysis Professional Committee and the Ministry of Industry and Information Technology Education and Examination Center *** with the assessment and certification, the certificate is one of the necessary conditions to apply for the establishment of the project data analysis firm.

(B) Data Analyst knowledge requirements

Master multiple statistical analysis, applied regression analysis, time series analysis, econometrics, economic forecasting research and other statistical modeling methods, to understand the industry's new advances in statistical methodology; master SQL/oracle and other databases, such as data sorting, querying, extraction and other methods; skilled use of relevant statistical software. The students should be proficient in the use of relevant statistical software, and accurately interpret the results of the software; understand the business knowledge and data composition of the relevant industries. The students should be able to master the database architecture and data structure, have the skills and knowledge of Excel/SQL or Access query statements, and have good ability of data processing and statistical modeling.

(D) Data Analyst job responsibilities

To undertake the industry, enterprise information, data investigation, collection, collation, analysis and research and publishing work; participate in special research, research and consulting projects, write industry analysis articles and research reports; big data for in-depth excavation, the establishment of relevant models for prediction, analysis, find out the relevant links, and research.

The above is some information that I have organized for you, hope it will help you~~