Data Manipulation at Scale: Systems and Algorithms
link 来源:www.coursera.org
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assignment 等级:入门
chat_bubble_outline 语言:英语
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关于内容

Join the data revolution. Companies are searching for data scientists. This specialized field demands multiple skills not easy to obtain through conventional curricula. Introduce yourself to the basics of data science and leave armed with practical experience extracting value from big data. #uwdatasci

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课程大纲

Part 0: Introduction 
  • Examples, data science articulated, history and context, technology landscape
Part 1: Data Manipulation at Scale
  • Databases and the relational algebra 
  • Parallel databases, parallel query processing, in-database analytics 
  • MapReduce, Hadoop, relationship to databases, algorithms, extensions, languages  
  • Key-value stores and NoSQL; tradeoffs of SQL and NoSQL
Part 2: Analytics
  • Topics in statistical modeling: basic concepts, experiment design, pitfalls
  • Topics in machine learning: supervised learning (rules, trees, forests, nearest neighbor, regression), optimization (gradient descent and variants), unsupervised learning
Part 3: Communicating Results
  • Visualization, data products, visual data analytics 
  • Provenance, privacy, ethics, governance 
Part 4: Special Topics
  • Graph Analytics: structure, traversals, analytics, PageRank, community detection, recursive queries, semantic web
  • Guest Lectures
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教师

  • Bill Howe - Scalable Data Analytics
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内容设计师

University of Washington

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world.

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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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