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Applying Data Science: Business Case Studies Using SAS
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See how data science can answer the questions your business faces!
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What Stands Out
Product Details
- Discover how data science can provide solutions to business challenges
- Learn how to gain insight from data and make better decisions
- Explore eight real-world case studies that combine data science and advanced analytics
- Topics covered include employee retention analysis, demand forecasting, and Monte Carlo simulation
- Methods covered include Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, and more
- Ideal for business analysts, statisticians, data miners, and SAS programmers
| Publisher | SAS Institute |
| Publication date | March 29, 2017 |
| Language | English |
| Print length | 490 pages |
| ISBN-10 | 160764889X |
| ISBN-13 | 978-1607648895 |
| Item Weight | 2.44 pounds (1.11 kg) |
| Dimensions | 8.25 x 1.11 x 11 inches (21 x 2.8 x 27.9 cm) |
Who Should Buy?
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Business Analysts
This product is perfect for analysts seeking practical data science applications integrated with SAS for real-world scenarios.
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Students & Educators
Ideal for students and educators looking for comprehensive case studies that enhance understanding of data science techniques.
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Data Science Professionals
Data professionals aiming to improve their skills with SAS through industry-relevant case studies will benefit significantly.
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Beginners in Data Science
Individuals with no foundational knowledge in data science may struggle to grasp the advanced concepts presented.
Product Description
Applying Data Science: Business Case Studies Using SAS
Customer Questions & Answers
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Question:
Who is this book written for?
Answer: Business analysts, statisticians, data miners, data scientists, and SAS programmers -
Question:
What data science methods are covered?
Answer: Kaplan-Meier estimates, Cox Proportional Hazard Regression, ARIMA models, Poisson regression, imputation of missing values, variable clustering, and more -
Question:
Does this book provide business context?
Answer: Yes, it bridges the gap between high-level, business-focused books and technical books that only show SAS code
Probability & Statistics Editorial Review
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Pros
- Real-world case studies
- Comprehensive SAS coverage
- Easy to understand
- Useful for beginners
- Enhances data analysis skills
Cons
- Some examples may feel dated.
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Features & Benefits
- Benefits of analytics
- Gain more insight into your data
- Make better decisions
- Combines data science and advanced analytics with business questions
- Real-world case studies
- Covering a range of fields and topics
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