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Learn Business Analytics in Six Steps Using SAS and R : a Practical, Step-by-Step Guide to Learning Business Analytics.
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress,
2015.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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.
- 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.
- 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.
- 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.
- 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.