Applying Data Science: Business Case Studies Using SAS
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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
Numéro d'article: 31510027

Applying Data Science: Business Case Studies Using SAS

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Numéro d'article: 31510027

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Ce qui se démarque

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.

Détails du produit

Find a wide selection of Business Case Studies using SAS at Ubuy Guadeloupe. Explore real-life examples and apply data science techniques. Shop now!
  • 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)

À qui est-ce destiné ?

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.

DESCRIPTION DU PRODUIT

Vous avez une question ? Chattez avec nous

Questions et réponses des clients

  • question: What is 'Applying Data Science Business Case Studies Using SAS' about?

    répondre: This title refers to a resource focused on practical applications of data science concepts through real-world case studies utilizing SAS software. It emphasizes transforming theoretical knowledge into actionable insights in commercial environments. By studying real business scenarios, readers can understand how data science techniques can be employed to solve complex problems, optimize operations, and drive decision-making processes. This resource is particularly beneficial for professionals looking to enhance their skills through hands-on learning.
  • question: Who is the target audience for this book?

    répondre: The primary audience includes data science practitioners, business analysts, and students interested in applying data science principles using SAS. Additionally, it appeals to managers and decision-makers looking to leverage data for strategic advantages. The case studies included are structured to provide insights across various industries, making it relevant for anyone seeking to improve their data literacy within a business context.
  • question: What skills can I develop from this book?

    répondre: Readers can enhance several key skills, including data analysis, statistical modeling, and interpretative presentation of data-driven results. This book guides users through the application of SAS tools in real business scenarios, fostering an understanding of data cleaning, visualization, and predictive analytics. Perfect for developing a well-rounded skill set, it equips readers to tackle diverse data-related challenges in their organizations.
  • question: Is this book suitable for beginners in data science?

    répondre: Yes, while geared towards practitioners, this book provides foundational insights alongside advanced techniques. Beginners will appreciate the structured case studies which start from basic concepts and move towards more complex applications. It serves as an excellent resource to bridge the gap from theory to practical application, allowing newcomers to build confidence in leveraging data science in their work.
  • question: Can this book help in learning SAS software?

    répondre: Absolutely, the book includes practical applications of SAS, offering readers guidance on utilizing this powerful software effectively for data analysis. Through case studies, readers are walked through various SAS functionalities, enhancing their ability to navigate and utilize the platform. This practical approach helps users become proficient in SAS as they work through real-world examples, making it a valuable resource for mastering the software.
  • question: What types of business cases are explored in the book?

    répondre: The book spans various industries including finance, healthcare, marketing, and operations. Each case study illustrates specific business challenges and demonstrates how data science techniques can be deployed using SAS to address those challenges effectively. This variety not only keeps the content engaging but also showcases the versatility of data science across different sectors, making it relevant for a wide audience.
  • question: How does this book differ from other data science resources?

    répondre: This book uniquely emphasizes practical application through real-world case studies, setting it apart from many theory-heavy resources. By focusing on business scenarios, it showcases how data science tools can be employed to drive real solutions. This applied approach enables readers to see immediate relevance and applicability of data science techniques within their own professional contexts.
  • question: What prior knowledge do I need before reading this book?

    répondre: While foundational knowledge of statistics and data analysis concepts is beneficial, it is not strictly required. The book is structured to cater to varying levels of expertise, providing introductory information as necessary for understanding the case studies. Familiarity with basic data manipulation concepts will enhance the learning experience, but beginners can still find value in the real-world applications presented.
  • question: Where can I buy 'Applying Data Science Business Case Studies Using SAS' in Guadeloupe?

    répondre: You can purchase 'Applying Data Science Business Case Studies Using SAS' from Ubuy, which offers a reliable platform for acquiring a variety of books and educational resources. Ubuy provides a convenient shopping experience, including various payment options, making it easy for customers in Guadeloupe to order and receive their desired titles.
  • question: Are there any exercises or practical applications included?

    répondre: Yes, the book includes various exercises and hands-on activities designed to reinforce learning. These practical applications encourage readers to apply concepts directly to simulated business scenarios, fostering a deeper understanding of how to leverage data science techniques effectively. Engaging with these exercises enhances retention of material and builds confidence in applying learned skills.

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Avantages

  • Real-world case studies
  • Comprehensive SAS coverage
  • Easy to understand
  • Useful for beginners
  • Enhances data analysis skills

Les inconvénients

  • Some examples may feel dated.

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€ 84

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Caractéristiques et avantages

  • 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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