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Applying Data Science: Business Case Studies Using SAS
See how data science can answer the questions your business faces!
Applying Data Science: Business Case Studies Using SAS
Item #: 31510027

Applying Data Science: Business Case Studies Using SAS

Item #: 31510027

PAB 100

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What Stands Out

Comprehensive Case Studies
Offers real-world applications of data science in business, enhancing understanding of complex concepts through practical examples that facilitate learning and application.
SAS Integration
Utilizes SAS software for hands-on experience, ensuring users gain valuable skills in a powerful analytics tool favored by industry professionals, making it ideal for career advancement.
Expert Insights
Features contributions from industry experts, providing readers with valuable perspectives and strategies that bridge the gap between theory and practical implementation in various business contexts.

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?

Suitable For
  • Business Analysts

    This product is perfect for analysts seeking practical data science applications integrated with SAS for real-world scenarios.

  • Students & Educators

    Ideal for students and educators looking for comprehensive case studies that enhance understanding of data science techniques.

  • Data Science Professionals

    Data professionals aiming to improve their skills with SAS through industry-relevant case studies will benefit significantly.

Not Suitable For
  • 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

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Customer Questions & Answers

  • 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

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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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