Название: Introduction to Data Science Practical Approach with R and PythonАвтор: B. Uma Maheswari, R. Sujatha
Издательство: Wiley
Год: 2021
Страниц: 772
Язык: английский
Формат: epub
Размер: 11.3 MB
Introduction to Data Science: Practical Approach with R and Python covers all the fundamental concepts of Data Science in a concise manner. It offers a mix of insights and golden rules which would be needed in analyzing data. This book serves as a practical guide for Science/Engineering/MBA students – both at the undergraduate and postgraduate level interested in Data Science domain.
In today’s world, data is wealth. With data being available in abundance, the one who wins the race is ultimately the one who understands how to use this data efficiently to the organization’s advantage. Data Science is all about understanding the data, making sense of the data, and creating meaningful insights which pave way for effective decision making. The applications of Data Science in the industry are manifold. It helps gain insights about the customers and provide them with a personalized experience to enhance the value proposition. Organizations can apply Data Science concepts to create reports, generate demand forecasts, and analyze trends. In manufacturing, Data Science helps identify the parameters leading to highest efficiency, and provide recommendations for replicating the same. Data Science has made its inroads in the field of healthcare as well. It helps optimize clinical processes and employ chatbots to assist patients. The textual information gathered helps create intelligent bots that can be used to answer user queries with minimal human intervention. The applications in the different domains are evolving constantly, reframing the way industries deal with data-driven decision making. Hence, Data Science is the mandate for the next-generation companies as it can undoubtedly provide them with a competitive edge needed to sustain in business.
As this domain evolves, the demand for data scientists and analysts is growing exponentially across the world. Educational institutions are integrating Data Science in their curriculum and aligning their programs to keep pace with the market requirements. This book is written to cater to the growing needs of the industry and academia. This book deals with the concepts of Data Science through the two most common open-source platforms applicable in the industry — R and Python. This book presents coding in a highly simplified manner, with step-by-step, clear instructions enhanced by visual aids of the output, making coding appear not so technical. It is written in such a way that even those without any prior programming skills are able to understand and appreciate the programming techniques without much effort. The concepts are introduced in simple language followed by practical applications based on real-world scenarios. The readers will find this as a single source comprehensive book covering all major concepts in the Data Science domain.
Contents:
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