Master of Computer Science - Data Science Applicant Community
link 来源:www.coursera.org
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他们选择Edflex来发展业务技能。

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关键信息

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关于内容

With a full tuition under $20K, the University of Illinois Master of Computer Science - Data Science (MCS-DS) is the most affordable gateway to one of the most lucrative and fastest growing careers of the new millennium. The MCS-DS builds expertise in four core areas of computer science: data visualization, machine learning, data mining and cloud computing, in addition to building valuable skill sets in statistics and information science with courses taught in collaboration with the University’s Statistics Department and ISchool (ranked #1 among Library and Information Studies Schools.) The purpose of this community is to provide you with resources and support during the application process for the MCS-DS. You can post questions, discuss with fellow students who are also considering applying, and read about latest updates of the program. Admission officers from the University of Illinois will also be active in the forums and answer questions. If you have any questions/feedback please post them in the forums!

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课程大纲

  • Week 1 - Welcome!
    Welcome to the applicant forums for the Master of Computer Science in Data Science! Please find below helpful information on the program and the application process. If you have more questions you are very welcome to post them in the Discussion Forums.
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教师

  • John C. Hart, Professor of Computer Science
    Department of Computer Science
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内容设计师

University of Illinois at Urbana-Champaign
The University of Illinois at Urbana-Champaign is a world leader in research, teaching and public engagement, distinguished by the breadth of its programs, broad academic excellence, and internationally renowned faculty and alumni. Illinois serves the world by creating knowledge, preparing students for lives of impact, and finding solutions to critical societal needs.
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平台

Coursera

Coursera是一家数字公司,提供由位于加利福尼亚州山景城的计算机教师Andrew Ng和达芙妮科勒斯坦福大学创建的大型开放式在线课程。

Coursera与顶尖大学和组织合作,在线提供一些课程,并提供许多科目的课程,包括:物理,工程,人文,医学,生物学,社会科学,数学,商业,计算机科学,数字营销,数据科学 和其他科目。

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