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Found 4 from your keywords: subject="Statistics--Data proc...
cover
Practical statistics for data scientists : 50+ essential concepts using R and…
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Bruce, Peter C., 1953 -Bruce, AndrewGedeck, Peter

Statistical methods are a key part of data science, yet few data scientists have formal statistical training. Courses and books on basic statistics rarely cover the topic from a data science perspective. The second edition of this practical guide-now including examples in Python as well as R-explains how to apply various statistical methods to data science, tells you how to avoid their misuse, …

Edition
Second Edition
ISBN/ISSN
9781492072942
Collation
xvi, 342 p. ; 24 cm.
Series Title
-
Call Number
005.74 Bru p
cover
Advanced Web Metrics with Google Analytics. Second Edition
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Clifton, Brian, 1969-

Are you getting the most out of your website? Google insider and web metrics expert Brian Clifton reveals the information you need to get a true picture of your site's impact and stay competitive using Google Analytics (GA) and the latest web metrics methodologies. Which marketing campaigns work best? How do you quantify their success? What indicators should you track? Packed with techniques an…

Edition
Second Edition
ISBN/ISSN
9780470253120
Collation
-
Series Title
-
Call Number
006.3 Cli a
cover
Visualizing health and healthcare data : creating clear and compelling visual…
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Rowell, Katherine L.Betzendahl, LindsayBrown, Cambria

The only data visualization book written by and for health and healthcare professionals. In health and healthcare, data and information are coming at organizations faster than they can consume and interpret it. Health providers, payers, public health departments, researchers, and health information technology groups know the ability to analyze and communicate this vast array of data in a clear …

Edition
-
ISBN/ISSN
9781119680888
Collation
-
Series Title
-
Call Number
610.21 Row v
cover
Data quality for analytics using SAS
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Svolba, Gerhard

Analytics offers many capabilities and options to measure and improve data quality, and SAS is perfectly suited to these tasks. Gerhard Svolba's Data Quality for Analytics Using SAS focuses on selecting the right data sources and ensuring data quantity, relevancy, and completeness. The book is made up of three parts. The first part, which is conceptual, defines data quality and contains text, d…

Edition
-
ISBN/ISSN
9781607646204
Collation
-
Series Title
-
Call Number
005.7 Svo d