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|a 658.403015195
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|a UAMI
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|a Tripathi, Subhashini Sharma.
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|a Learn Business Analytics in Six Steps Using SAS and R :
|b a Practical, Step-by-Step Guide to Learning Business Analytics.
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|a Berkeley, CA :
|b Apress,
|c 2015.
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|a 1 online resource (226 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|2 rdacarrier
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|a Print version record.
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|a At a Glance; Contents; About the Author; Acknowledgments; Introduction; Chapter 1: The Process of Analytics; What Is Analytics? What Does a Data Analyst Do?; An Example; A Typical Day; Is Analytics for You?; Evolution of Analytics: How Did Analytics Start?; The Quality Movement; The Second World War; Where Else Was Statistics Involved?; The Dawn of Business Intelligence; Chapter 2: Accessing SAS and R; Why SAS and R?; Market Overview; What Is Advanced Analytics?; History of SAS and R; History of SAS; What Is EG?; How Can You Access SAS Enterprise Guide Software?; History of R.
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|a Why Was R Named R?What Is R?; What Is RStudio?; What Is CRAN?; Which Add-on Packages Exist for R?; Why Is Microsoft's Acquisition of Revolution Analytics Important?; Installing SAS and R; Installing SAS; SAS University Edition; SAS OnDemand for Academics; Education Analytical Suite; Installing R; Chapter 3: Data Manipulation Using SAS and R; Define: The Phase Before Data Manipulation (Collect and Organize); Basic Understanding of Common Business Problems; Sources of Data; The Use of Benchmarks to Create an Optimal Define Statement; Data Flow from ERP to Business Analytics SaaS.
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|a What Are Primary Keys?What Is a Relational Database?; Sanity Check on Data; Case Study 1; Case Study 1 with SAS; Case Study 1 with R; Chapter 4: Discover Basic Information About Data Using SAS and R; What Are Descriptive Statistics?; More About Inferential and Descriptive Statistics; Tables and Descriptive Statistics; What Is a Frequency Distribution?; Case Study 2; Solving Case Study 2 with SAS; The UNIVARIATE Procedure; Solving Case Study 2 with R; Using Descriptive Statistics; Measures of Central Tendency; What Is Variation in Statistics?; Absolute and Mean Absolute Deviation; Variance.
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|a Chapter 5: VisualizationWhat Is Visualization?; Data Visualization in Today's World; Why Do Data Visualization?; What Are the Common Types of Graphs and Charts?; Case Study on Graphs and Charts Using SAS; About the Data; What Is This Data?; Definitions; Problem Statement; Solution in SAS; SAS Code and Solution; Visualization; Case Study on Graphs and Charts Using R; About the Data ; What Is This Data?; Definitions; Problem Statement; Solution in R; R Code and Solution; Visualization; What Are Correlation and Covariance?; How to Interpret Correlation; Chapter 6: Probability Using SAS and R.
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|a What Is Probability?Probability of Independent Events: The Probability of Two or More Events; Probability of Conditional Events: The Probability of Two or More Events; Why Use Probability?; Bayes' Theorem to Calculate Probability; Bayes' Theorem in Terms of Likelihood; Derivation of Bayes' Theorem from Conditional Probabilities; Decision Tree: Use It to Understand Bayes' Theorem; Frequency to Calculate Probability; For Discrete Variables; For Continuous Variables; Normal Distributions to Calculate Probability; What If the Variable Is Not Normally Distributed?; Case Study Using SAS.
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|a Problem Statement.
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|a ProQuest Ebook Central
|b Ebook Central Academic Complete
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|a Big data.
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|a Données volumineuses.
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|a Big data
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|i has work:
|a Learn business analytics in six steps using SAS and R (Text)
|1 https://id.oclc.org/worldcat/entity/E39PD3kGwv8FDD9qg3QwWypmGw
|4 https://id.oclc.org/worldcat/ontology/hasWork
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| 776 |
0 |
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|i Print version:
|a Tripathi, Subhashini Sharma.
|t Learn Business Analytics in Six Steps Using SAS and R : A Practical, Step-by-Step Guide to Learning Business Analytics.
|d Berkeley, CA : Apress, ©2015
|z 9781484210024
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| 856 |
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|u https://ebookcentral.uam.elogim.com/lib/uam-ebooks/detail.action?docID=4772359
|z Texto completo
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|a Askews and Holts Library Services
|b ASKH
|n AH32378093
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|a EBL - Ebook Library
|b EBLB
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