Course design of the"Introduction to Data Science"

Xiongpai QIN; Yueguo CHEN; Xiaoyong Du; Weijuan WANG

doi:10.11959/j.issn.2096-0271.2017065

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Course design of the"Introduction to Data Science"

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- Course design of the"Introduction to Data Science"
- Big Data Research Vol. 3, Issue 6, Pages: 2017065(2017)
- 作者机构：
  
  1. 中国人民大学信息学院，北京 100872
  2. 中国人民大学出版社，北京 100872
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.2096-0271.2017065
  CLC： TP311.13
- Online First：2017-11，
  
  Published：20 November 2017
- 稿件说明：
移动端阅览
Xiongpai QIN, Yueguo CHEN, Xiaoyong Du, et al. Course design of the"Introduction to Data Science"[J]. Big Data Research, 2017, 3(6): 2017065.
DOI：

Xiongpai QIN, Yueguo CHEN, Xiaoyong Du, et al. Course design of the"Introduction to Data Science"[J]. Big Data Research, 2017, 3(6): 2017065. DOI： 10.11959/j.issn.2096-0271.2017065.

摘要

大数据时代已经到来，为了挖掘大数据的价值，社会急需大量合格的数据科学家，数据科学家的培养是一个紧迫的问题。提出了三大课程群的课程体系建设思路，其中“数据科学概论”是数据科学课程群的导论和入门性质的一门课程。本课程通过案例对关键技术的原理进行介绍，提供了中等规模实际问题的全流程实践案例，有利于学生掌握。数据科学是一门交叉学科，课程应该体现学科交叉的特点。对于时间序列数据，从统计学视角和数据挖掘/机器学习视角，对其分析和建模技术进行了介绍和比较。

Abstract

Big data era has arrived.In order to extract the value from big data

the community needs a large number of qualified data scientists.The training of data scientists is a pressing problem.School of Information Renmin University of China (Computer Science Department) proposed the construction thinking of building a curriculum system of three course groups

among them“Introduction to Data Science” is an introductory course of the data science course group.Firstly

the key technologies were introduced by cases for students to easily grasp the basic idea were introduced.Besides that

in order to enhance students' ability to analyze real problems (complex engineering problems) and to solve them

a whole-process practice case for a mediumsized practical problem was provided.Data science is an interdisciplinary subject

the course should reflect the interdisciplinary characteristics.For example

for time series data

the methods from statistics perspective and data mining /machine learning perspective to model and analyze the data

some comparison of the methods was given.

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Keywords

references

覃雄派，王会举，杜小勇，等 . 大数据分析-RDBMS与MapReduce的竞争与共生 [J ] . 软件学报， 2012 , 23 ( 1 ): 32 - 45 .

QIN X P , WANG H J , DU X Y , et al . Big data analysis-competition and symbiosis of RDBMS and MapReduce [J ] . Journal of Software , 2012 , 23 ( 1 ): 32 - 45 .

王珊，王会举，覃雄派，等 . 架构大数据：挑战、现状与展望 [J ] . 计算机学报， 2011 , 34 ( 10 ): 1741 - 1752 .

WANG S , WANG H J , QIN X P , et al . Architecting big data:challenges,studies and forecasts [J ] . Chinese Journal of Computers , 2011 , 34 ( 10 ): 1741 - 1752 .

许嘉，吕品 . 哈佛大学数据科学课程教学初探 [J ] . 教育界：高等教育研究， 2015 ( 5 ): 109 - 110 .

XU J , LV P . Introduction to teaching of data science course in Harvard university [J ] . Education Circle , 2015 ( 5 ): 109 - 110 .

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