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SAS, Python and R: A Cross-Reference Guide for Data Science
Unlock the secrets of mastering three of the most powerful data science tools—SAS, Python, and R—all in one book!
SAS, Python and R: A Cross-Reference Guide for Data Science
Item #: 113905971

SAS, Python and R: A Cross-Reference Guide for Data Science

Item #: 113905971

QAR 201

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Unlock the secrets of mastering three of the most powerful data science tools—SAS, Python, and R—all in one book!
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What Stands Out

Comprehensive Coverage
Offers detailed comparisons of SAS, Python, and R, enabling users to easily understand strengths and weaknesses, thus simplifying the selection of tools for specific data science projects.
User-Friendly Format
Structured cross-reference format makes it accessible for beginners and experts alike, facilitating quick reference and enhancing learning efficiency without overwhelming technical jargon.
Real-World Applications
Includes practical examples and case studies that showcase real-world applications of each programming language, helping users to relate theoretical knowledge to actual data science challenges effectively.

Product Details

Shop SAS, Python and R: A Cross-Reference Guide for Data Science online at a best price in Qatar. B0DLWDL5ZK
Publisher Independently published
Publication date November 3, 2024
Language English
Print length 539 pages
ISBN-13 979-8342969789
Item Weight 2.02 pounds (920 grams)
Reading age 16 - 18 years
Dimensions 7.5 x 1.22 x 9.25 inches (19.1 x 3.1 x 23.5 cm)

Who Should Buy?

Suitable For
  • Data Science Students

    Ideal for students aiming to understand the differences and similarities between SAS, Python, and R for their studies.

  • Professionals Transitioning

    Great for data professionals transitioning between tools and needing a resource for comparing functionalities and syntax.

  • Mixed Environment Teams

    Perfect for teams using multiple programming languages, providing a quick reference for effective collaboration and communication.

Not Suitable For
  • Absolute Beginners

    Not suitable for those new to programming as it requires prior knowledge of at least one language.

Product Description

SAS, Python and R: A Cross-Reference Guide for Data Science

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Data Modeling & Design Editorial Review

SAS, Python and R: A Cross-Reference Guide for Data Science is a comprehensive manual published independently that spans 539 pages and caters to readers aged 16 to 18. The guide aims to bridge the knowledge gaps between SAS, Python, and R, making it a valuable resource for aspiring data scientists. The detailed indexing allows for quick reference, which is particularly beneficial for users transitioning between programming languages. Its substantial weight of 2.02 pounds reflects the depth of content covered, ensuring that readers receive thorough insights into data science methods and applications.

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Pros

  • Comprehensive guide for aspiring data scientists
  • Thorough insights into SAS, Python, and R
  • Detailed indexing for quick reference
  • Covers a broad range of data science topics
  • Ideal for readers aged 16 to 18

Cons

  • Might be too extensive for casual readers

Product Price History

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