| 000 | 00000nam u2200205 a 4500 | |
| 001 | 000046218798 | |
| 005 | 20260305114136 | |
| 008 | 260303s2025 mauad b 001 0 eng d | |
| 020 | ▼a 9781683929345 | |
| 040 | ▼a 211009 ▼c 211009 ▼d 211009 | |
| 082 | 0 4 | ▼a 658.4/030285 ▼2 23 |
| 084 | ▼a 658.4030285 ▼2 DDCK | |
| 090 | ▼a 658.4030285 ▼b F742d3 | |
| 100 | 1 | ▼a Fortino, Andres G., ▼e author. |
| 245 | 1 0 | ▼a Data analysis for business decisions : ▼b case studies in Excel, R, and ChatGPT / ▼c Andres Fortino. |
| 250 | ▼a 3rd ed. | |
| 260 | ▼a Boston, Massachusetts : ▼b Mercury Learning and Information, ▼c 2025. | |
| 300 | ▼a xi, 426 p. : ▼b ill. (some col.), charts ; ▼c 23 cm. | |
| 504 | ▼a Includes bibliographical references and index. | |
| 650 | 0 | ▼a Decision making ▼x Data processing ▼v Case studies. |
| 650 | 0 | ▼a Business ▼x Decision making ▼x Data processing. |
| 650 | 0 | ▼a Data mining. |
| 945 | ▼a ITMT |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고7층/ | 청구기호 658.4030285 F742d3 | 등록번호 111920624 (1회 대출) | 도서상태 대출중 | 반납예정일 2026-06-04 | 예약 예약가능 | 서비스 |
컨텐츠정보
책소개
In today's data-driven world, the ability to analyze and interpret data is no longer optional--it's a necessity for making informed business decisions. This book provides a comprehensive, hands-on guide to mastering the essential techniques and tools that empower business analysts to transform raw data into actionable insights. Packed with practical exercises and real-world case studies, this book focuses on applying statistical methods across the most widely used tools, including Excel, R, Python, and generative AI platforms like ChatGPT. Key topics include framing analytical questions, descriptive and advanced statistical techniques, text analytics and A/B testing, and big data and visualization. Whether analyzing sales trends, optimizing marketing strategies, or improving operational efficiency, you'll gain the skills to make data-backed decisions that drive business success.
FEATURES
- Includes hands-on exercises with industry-standard tools, including Excel, R, Python, and generative AI
- Covers step-by-step instructions for advanced techniques like time series forecasting and contingency analysis
- Uses real-world case studies to demonstrate the application of concepts to business scenarios
- Features companion files with datasets, surveys, and cases (available for downloading from the publisher)
정보제공 :
목차
1: Data Analysis and Business 2: Framing Analytical Questions 3: Shaping and Cleaning Data 4: Installing the Analysis Tools 5: Descriptive Statistics 6: Histograms 7: Pareto Analysis 8: Scatter Plots 9: Correlation and Linear Regression 10: Multivariate Regression 11: Forecasting and Time Series 12: Inferential Statistics 13: Contingency Analysis 14: A/B Testing 15: Text Analytics 16: Analyzing Big Data Sets 17: Data Visualization 18: Summary of Analysis Techniques Appendix: Data Sources Index