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.
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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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Da: ThriftBooks-Dallas, Dallas, TX, U.S.A.
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Paperback. Condizione: new. Paperback. 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. Data science is a perfect blend of 10 per cent maths, 20 per cent statistics, 30 per cent common sense and 40 per cent applied knowledge. While you can learn maths and statistics, you need to accumulate certain experience for common sense to kick in and apply what you have learnt. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9780143461722
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