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Data science

Author: Lillian Pierson; Jake Porway
Publisher: Hoboken, NJ : John Wiley and Sons, Inc., [2017] ©2017
Series: --For dummies.
Edition/Format:   Print book : English : 2nd editionView all editions and formats
Summary:
Begins by explaining large data sets and data formats, including sample Python code for manipulating data. The book explains how to work with relational databases and unstructured data, including NoSQL. The book then moves into preparing data for analysis by cleaning it up or "munging" it. From there the book explains data visualization techniques and types of data sets. Part II of the book is all about supervised  Read more...
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Details

Document Type: Book
All Authors / Contributors: Lillian Pierson; Jake Porway
ISBN: 9781119327639 1119327636
OCLC Number: 974828975
Notes: Includes index.
Description: xvi, 364 pages : illustrations, charts ; 24 cm.
Contents: 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.
Series Title: --For dummies.
Other Titles: Data science for dummies
Responsibility: by Lillian Pierson ; foreword by Jake Porway.

Abstract:

Discover how data science can help you gain in-depth insight into your business - the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these  Read more...

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