Research On The Ability Of Data Analysis Of Electronic Commerce Students

With the continuous development of the Internet, e-commerce first to enter the era of big data.The future is in the hand of whom grasp the youth.Objective data analysis is to find the law from chaotic data mining information can generate value.Therefore, data analysis capabilities to become the core of e-commerce majors accomplishment.So how the current level of development of e-commerce data analysis capabilities majors?How to enhance e-commerce majors data analysis capabilities?By combing at home and abroad, "Statistics Literacy", "statistical thinking", "Data analysis" of literature, to build e-commerce professional data analysis capability development framework, including data collection, data collation, description data, analyzing data, drawing inferences 5 dimension; according to the framework of the preparation of test questionnaires and evaluation system; selected a school specializing in e-commerce 180 graduating students for the survey, data analysis research capacity level of development of students. According to the survey, students on how to improve data analysis capability gives suggestions and countermeasures.Thesis conclusions are as follows:1. In terms of data collection, students showed a higher level of development, a better grasp of random sampling and stratified sampling are two ways in the sampling process, fully taking into account the random and representative sample;2. In the data processing, the students proficient data sorting, grouping and aggregation, and can skillfully calculate the statistics, drawn frequency tables, but the data reviewed consciousness is relatively weak;3. In the description of the data, the students according to the background of the issue, a reasonable selection of mean, median, mode, and other centralized volume number, can be a comprehensive description of a plurality of statistics; and discrete statistic is not enough understanding in place, in particular, It is about standard deviation and volatility data relationships; students can choose the right chart shows the different types of data, but not draw multiple index chart can good grasp;4. In the statistical analysis, descriptive analysis of student ability, but exploratory analysis capacity needs to be strengthened; in the face of practical problems, students often do not know how to change the selection of statistical methods, can not from a comprehensive range of Dimension Analyse;5. In a conclusion, although the students have a certain sense of business, capable of binding to discover hidden information background to the issue, but is limited by practical experience, students also have to consider not comprehensive enough, subjective empiricism.Thesis consists of five chapters constitute the body:The first chapter discusses the research background, research questions, theoretical and practical significance and structure of the thesis research.The second chapter of the literature review at home and abroad on statistics and data analysis, based on previous studies on the development framework to build the data analysis capabilities.The third chapter describes the implementation process of this investigation.The fourth chapter describes the contents of the study and evaluation framework to test the questionnaire and analyzing the test results, understand the status of e-commerce professional students to analyze the ability level of data development.Chapter V contains conclusions and recommendations.