Practical Business Analytics Using SAS A Hands-on Guide
Practical Business Analytics Using SAS: A Hands-on Guide shows SAS users and businesspeople how to analyze data effectively in real-life business scenarios. The book begins with an introduction to analytics, analytical tools, and SAS programming. The authors—both SAS, statistics, analytics, and big...
| Autores principales: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berkeley, CA :
Apress
2015.
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| Edición: | 1st ed. 2015. |
| Colección: | The expert's voice in analytics
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| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009629965506719 |
Tabla de Contenidos:
- Contents at a Glance; Part 1: Basics of SAS Programming for Analytics; Chapter 1: Introduction to Business Analytics and Data Analysis Tools; Business Analytics, the Science of Data-Driven Decision Making; Business Analytics Defined; Is Advanced Analytics the Solution for You?; Simulation, Modeling, and Optimization; Simulation; Modeling; Optimization; Data Warehousing and Data Mining; What Can Be Discovered Using Data Mining?; Business Intelligence, Reporting, and Business Analytics; Analytics Techniques Used in the Industry; Regression Modeling and Analysis; Time Series Forecasting
- Conjoint AnalysisCluster Analysis; Segmentation; Principal Components and Factor Analysis; Correspondence Analysis; Survival Analytics; Some Practical Applications of Business Analytics; Customer Analytics; Operational Analytics; Social Media Analytics; Data Used in Analytics; Big Data vs. Conventional Business Analytics; Introduction to Big Data; Big Data Is Not Just About Size; Sources of Big Data; Big Data Use Cases; Big Data in Retail; Big Data Use Cases in Financial Industry; Introduction to Data Analysis Tools; Commonly Used Data Analysis Software; SAS; SPSS; R; MATLAB; RapidMiner; Weka
- SAPMinitab; Apache Mahout; Other Tools; Choosing a Tool; Main Parts of SAS, SPSS, and R; SAS; Analysis Using SAS: The Basic Elements; The Main Advantage Offered by SAS; The R Tool; IBM SPSS Analytics Tool; Features of SPSS Statistics 22; Selection of Analytics Tools; The Background Required for a Successful Career in Business Analytics; Skills Required for a Business Analytics Professional; Communication Skills; Technical Skills; Analytical Skills; Problem-Solving Skills; Decision-Making Skills; Managerial Skills; Conclusion; Chapter 2: SAS Introduction; Starting SAS in Windows
- The SAS Opening ScreenThe Five Main Windows; Editor Window; Log Window; Output Window; HTML Output; Explorer Window; Results Window; Important Menu Options and Icons; View Options; Run Menu; Solutions Menu; Shortcut Icons; Writing and Executing a SAS Program; Comments in the Code; Your First SAS Program; Debugging SAS Code Using a Log File; Example for Warnings in Log File; Tips for Writing, Reading the Log File, and Debugging; Saving SAS Files; Exercise; Conclusion; Chapter 3: Data Handling Using SAS; SAS Data Sets; Descriptive Portion of SAS Data Sets; Data Portion of Data Set
- SAS LibrariesCreating the Library Using the GUI; Rules of Assigning a Library; Creating a New Library Using SAS Code; Permanent and Temporary Libraries; Work Library; Two Main Types of SAS Statements; Importing Data into SAS; Data Set Creation Using the SAS Program; Using the Import Wizard; Import Using the Code; Importing a CSV File Using Code; Importing an Excel File Using SAS Code; Data Manipulations; Making a Copy of a SAS Data Set; Creating New Variables; Creating New Variables Using Multiple Variables; Creating New Variables Using if-then-else; Updating the Same Data Set
- Drop and Keep Variables
