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在现代科技不断进步的情况下,社会产生了各种各样的社交平台,每天产生的数据量非常庞大,这是进入大数据时代的一个重要信号。但是大数据的产生在很大程度上影响了统计学科的发展,因为一直以来统计学学科都是借助抽样技术,即从总体中随意抽取一些数据作为本次研究的样本,然后对样本数据进行分析与处理,从而评估以及预测研究对象的未来发展情况。然而,大数据时代的来临使得数据量增加,数据的总体性明显提高,这就对统计学人才提出了更高的要求。从整体上来看,大数据虽然限制了统计学的进一步发展,但是也给统计学科体系的完善提供了一些机遇,只有仅仅抓住这些机遇,才能使统计学获得更快的发展,因此本文主要是着重于分析大数据背景下的统计学遇到的挑战与机遇。
With the continuous advancement of modern science and technology, various kinds of social platforms have been created in society. The huge amount of data generated each day is an important signal to enter the era of big data. However, the emergence of big data has greatly affected the development of statistics. Statistics have always been based on the use of sampling techniques, that is, from the overall random data as a sample of this study, and then analyze the sample data And processing, to assess and predict the future development of research subjects. However, the advent of the big data era has led to an increase in the amount of data and a marked increase in the overall data quality, which sets higher demands on statistical personnel. Overall, although big data has limited the further development of statistics, it also provides some opportunities for the improvement of the system of statistics. Only by seizing these opportunities can we make the statistics get faster development. Therefore, Focus on analyzing the challenges and opportunities encountered in statistics in the context of big data.