Data Science: A Beginner's Guide by Raju, C.

Data Science: A Beginner's Guide

This introductory book on data science builds upon an individual's innate knowledge and arms you with the...
$36.20 AUD
$36.20 AUD
SKU: 9780143461722
Product Type: Books
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Author: C. Raju
Format: Paperback
Language: English
Subtotal: $36.20
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Data Science: A Beginner's Guide by Raju, C.

Data Science: A Beginner's Guide

$36.20

Data Science: A Beginner's Guide

$36.20
Author: C. Raju
Format: Paperback
Language: English
This introductory book on data science builds upon an individual's innate knowledge and arms you with the tools to use this interdisciplinary academic field in everyday scenarios. With straightforward real-world examples and applications, it takes you on a path that may seem daunting but is made simple through Professor Raju's easy manner. It endows you with a holistic and flawless understanding of the fundamental principles required to build a solid foundation in data science.

Author: C. Raju
Publisher: Penguin Business
Published: 12/29/2023
Pages: 224
Binding Type: Paperback
Weight: 0.38lbs
Size: 7.76h x 5.31w x 0.39d
ISBN: 9780143461722

About the Author

C. Raju is a full professor in the domain of quantitative methods and operations management at the Indian Institute of Management Kozhikode, India.

Prof. Raju steered the MBA programme under the executive education of IIMK to a global level. He served as dean-administration and development, dean of extension programmes, and dean-executive education at IIMK from 2017 to 2021. He played a key role as nodal professor, the Indian Institute of Management Amritsar from October 2017 to November 2019.

He received his bachelor's, master's, and PhD degrees in statistics from the University of Madras. He was a Council of Scientific & Industrial Research research fellow. His doctoral work revolves around acceptance sampling. He has several publications in international peer-reviewed journals. Prof. Raju's research interests include acceptance sampling, multivariate data analysis and PLS Regression.

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