Data science for business with R
Material type:
Item type | Current library | Collection | Call number | Status | Date due | Barcode |
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IIMJ Library General Stacks | Non-fiction | 650.015195 SAL (Browse shelf (Opens below)) | Available | 4971 |
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650 BUS Business book | 650 KAU Personal MBA : a world-class business education in a single volume | 650 MAL Future of work | 650.015195 SAL Data science for business with R | 650.07 CON Contesting institutional hegemony in today's business schools | 650.07 COR Creativity in management education : a systemic rediscovery | 650.07 DAT Rethinking the MBA |
Table of Contents:
Introduction: Data Science, Many Skills
Chapter 1: Getting Started with R & RStudio
Chapter 2: Rows and Columns
Chapter 3: Data Munging
Chapter 4: What’s My Function?
Chapter 5: Beer, Farms, and Peas and the Use of Statistics
Chapter 6: Sample in a Jar
Chapter 7: Storage Wars
Chapter 8: Pictures vs. Numbers
Chapter 9: Map Mashup
Chapter 10: Lining Up Our Models
Chapter 11: What’s Your Vector, Victor?
Chapter 12: Hi Ho, Hi Ho—Data Mining We Go
Chapter 13: Word Perfect (Text Mining)
Chapter 14: Shiny Web Apps
Chapter 15: Time for a Deep Dive
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