Introduction to Data Science (Bill Howe, Coursera)

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Key Points
1) data manipulation
Databases and the relational algebraMapReduce, Hadoop, relationship to databases, algorithms,
extensions, language; key-value stores and NoSQL; tradeoffs of SQL and
NoSQLData cleaning, entity resolution, data integration, information extraction
2) analytics
Basic statistical modeling, experiment designIntroduction to Machine Learning, supervised learning, decision trees/forests, simple nearest neighborUnsupervised learning: k-means, multi-dimensional scaling
3) interpreting and communicating results
Visualization, visual data analyticsEthics, privacy



Further Linkshttps://class.coursera.org/datasci-001/lecture/preview
Related Visualshttp://blogs.gartner.com/doug-laney/deja-vvvue-others-claiming-gartners-volume-velocity-variety-construct-for-big-data/



Webinar CategoryData Science
TitleIntroduction to Data Science
Presenter_Name
Howe, Bill
Provider
Coursera
Partner
University of Washington
Runtime

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