Information Science Reference
Comparative Approaches to Using R and Python for Statistical Data Analysis (English, Rui Sarmento | Vera Costa)
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Specifications
| Publisher | Information Science Reference |
| Language | English |
| ISBN-13 | 9781683180166 |
| ISBN-10 | 168318016X |
| Author | Rui Sarmento | Vera Costa |
Product Description
About the Book
The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users. Comparative Approaches to Using R and Python for Statistical Data Analysis is a comprehensive source of emerging research and perspectives on the latest computer software and available languages for the visualization of sta…
ISBN: 9781683180166
Book Insights
What You'll Learn
- ·In-depth exploration of topics covered in Comparative Approaches to Using R and Python for Statistical Data Analysis
- ·Key concepts explained with clarity and practical examples
- ·Insights valuable for anyone studying or working in Information Science Reference
Who Should Read This
Science students, researchers, and curious minds of all ages.
Key Highlights
- ·Brand new physical book delivered across India
- ·15-day hassle-free return policy
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Comparative Approaches to Using R and Python for Statistical Data Analysis is available in English on GlowMirror.
Who is the author of Comparative Approaches to Using R and Python for Statistical Data Analysis?
Comparative Approaches to Using R and Python for Statistical Data Analysis is authored by Rui Sarmento | Vera Costa.
Who published Comparative Approaches to Using R and Python for Statistical Data Analysis?
Comparative Approaches to Using R and Python for Statistical Data Analysis is published by Information Science Reference.
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Page count information for Comparative Approaches to Using R and Python for Statistical Data Analysis is available in the specifications section of this page.
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At an average reading speed of 250 words per minute, reading Comparative Approaches to Using R and Python for Statistical Data Analysis takes a few hours to a few days depending on reading pace.
What is Comparative Approaches to Using R and Python for Statistical Data Analysis about?
About the Book
The application of statistics has proliferated in recent years and has become increasingly relevant across numerous fields of study. With the advent of new technologies, its availability has opened into a wider range of users. Comparative Approaches to Using R and Python for Statist...
Is Comparative Approaches to Using R and Python for Statistical Data Analysis suitable for beginners?
Whether Comparative Approaches to Using R and Python for Statistical Data Analysis is suitable for beginners depends on your background in Information Science Reference. Review the product description and specifications above for details on the target audience and difficulty level.
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