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Author Pierson, Lillian, author
Title Data science for dummies / by Lillian Pierson ; foreword by Jake Porway, Founder and Executive Director of DataKind
Imprint Hoboken, NJ : John Wiley and Sons, Inc., 2017
book jacket
 Euro-Am 3F Western Mat.  004 P6158 2017    AVAILABLE  -  30500101536681
Edition 2nd edition
Descript xvi, 364 pages : illustrations, charts ; 24 cm
text txt rdacontent
unmediated n rdamedia
volume nc rdacarrier
Series For dummies
--For dummies
Note Includes bibliographical references and index
Getting Started With Data Science -- Wrapping Your Head around Data Science -- Exploring Data Engineering Pipelines and Infrastructure -- Applying Data-Driven Insights to Business and Industry -- Using Data Science to Extract Meaning from Your Data -- Machine Learning: Learning from Data with your Machine -- Math, Probability, and Statistical Modeling -- Using Clustering to Subdivide Data -- Modeling with Instances -- Building models that Operate Internet-of-Things Devices -- Creating Data Visualizations that Clearly Communicate Meaning -- Following the Principles of Data Visualization Design -- Using D3.js for Data Visualization -- Web-Based Applications for Visualization Design -- Exploring Best Practices in Dashboard Design -- Making Maps from Spatial Data -- Computing for Data Science -- Using Python for Data Science -- Using Open Source R for Data Science -- Using SQL in Data Science -- Doing Data Science with Excel and Knime -- Applying Domain Expertise to Solve Real-World Problems Using Data Science -- Data Science in Journalism: Nailing Down the Five Ws (and an H) -- Delving into Environmental Data Science -- Data Science for Driving Growth in E-Commerce -- Using Data Science to Describe and Predict Criminal Activity -- The Part of Tens --Ten Phenomenal Resources for Open Data -- Ten Free Data Science Tools and Applications.
Subject Information technology
Information retrieval
Data mining
Alt Author Porway, Jake, writer of foreword
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