Big Data Research ›› 2017, Vol. 3 ›› Issue (6): 102-111.doi: 10.11959/j.issn.2096-0271.2017065
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Xiongpai QIN1,Yueguo CHEN1,Xiaoyong Du1,Weijuan WANG2
Online:
Published:
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.
Key words: data science, course group, Introduction to Data Science, course design
CLC Number:
TP311.13
Xiongpai QIN, Yueguo CHEN, Xiaoyong Du, Weijuan WANG. Course design of the"Introduction to Data Science"[J]. Big Data Research, 2017, 3(6): 102-111.
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URL: https://www.infocomm-journal.com/bdr/EN/10.11959/j.issn.2096-0271.2017065
https://www.infocomm-journal.com/bdr/EN/Y2017/V3/I6/102
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