Research on Teaching Reform of College Statistics Course in the Age of Big Data

DOI

10.2991/icesame-18.2018.78How to use a DOI?

Keywords

the Age of Big Data, Statistics Course, Teaching Reform

Abstract

With the rise of the Internet, people's way of life has changed dramatically. We can read news or interesting things thousands of miles away on our mobile phones without leaving home, and we can browse the information we want on our computers by moving our fingers. For enterprises, the use of data to understand customer demand and consumption habits, and can easily enough to achieve market positioning and market segmentation, so as to achieve the purpose of data management enterprise structure, enterprise production. For government organizations, big data can directly reflect the needs of the people, thus improving the governance of government departments, service concepts and policy changes, which is conducive to the unified management of the country. In March 2015, relevant leaders at the two sessions also particularly stressed the importance of big data, so that the common people understand big data and feel the change in life made by big data. To sum up, big data has been widely used in the life of the masses, in the management of enterprises, and in the governance of the country. In such an age background, the talent required by the big data technology has become the object of competition in various industries. However, how to train statistics talents in the new era has naturally become the focus of teaching, and the traditional statistical teaching model is also facing great reform.

Copyright

© 2018, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Di Wu
PY  - 2018/07
DA  - 2018/07
TI  - Research on Teaching Reform of College Statistics Course in the Age of Big Data
BT  - Proceedings of the 2018 3rd International Conference on Education, Sports, Arts and Management Engineering (ICESAME 2018)
PB  - Atlantis Press
SP  - 379
EP  - 382
SN  - 2352-5398
UR  - https://doi.org/10.2991/icesame-18.2018.78
DO  - 10.2991/icesame-18.2018.78
ID  - Wu2018/07
ER  -