list 8 sequences
assignment Level : Introductive
chat_bubble_outline Language : English
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Key information

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timer 80 hours in total

About the content

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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Syllabus

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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Instructors

  • Bill Howe - Scalable Data Analytics
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Content designer

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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Platform

Coursera

Coursera is a digital company offering massive open online course founded by computer teachers Andrew Ng and Daphne Koller Stanford University, located in Mountain View, California. 

Coursera works with top universities and organizations to make some of their courses available online, and offers courses in many subjects, including: physics, engineering, humanities, medicine, biology, social sciences, mathematics, business, computer science, digital marketing, data science, and other subjects.

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