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Название: Practical Data Analytics for BFSI: Leveraging Data Science for Driving Decisions in Banking, Financial Services, and Insurance Operations
Автор: Bharat Sikka, Priyender Yadav, Prashant Verma
Издательство: Orange Education Pvt Ltd, AVA
Год: September 2023
Страниц: 334
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Are you looking to unlock the transformative potential of data analytics in the dynamic world of Banking, Financial Services, and Insurance (BFSI)? This book is your essential guide to mastering the intricate interplay of data science and analytics that underpins the BFSI landscape. Designed for intermediate-level practitioners, as well as those aspiring to join the ranks of BFSI analytics professionals, this book is your compass in the data-driven realm of banking. Address the unique challenges and opportunities of the BFSI sector using Artificial Intelligence and Machine Learning models for a data driven analysis. This book explores the area of Data Science and Analytics, including Artificial Intelligence/Machine Learning, that runs behind the BFSI sector to provide its services. This book functionally explains the core concepts of how businesses adapt to Data-Driven solutions to generate profits, reduce risks, and provide better customer support, giving a brief idea to the top management in understanding such a field. On the other hand, this book technically aims to provide solutions to multiple banking pain points using programming languages like Python, R, IBM SPSS, etc.
Автор: Bharat Sikka, Priyender Yadav, Prashant Verma
Издательство: Orange Education Pvt Ltd, AVA
Год: September 2023
Страниц: 334
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Are you looking to unlock the transformative potential of data analytics in the dynamic world of Banking, Financial Services, and Insurance (BFSI)? This book is your essential guide to mastering the intricate interplay of data science and analytics that underpins the BFSI landscape. Designed for intermediate-level practitioners, as well as those aspiring to join the ranks of BFSI analytics professionals, this book is your compass in the data-driven realm of banking. Address the unique challenges and opportunities of the BFSI sector using Artificial Intelligence and Machine Learning models for a data driven analysis. This book explores the area of Data Science and Analytics, including Artificial Intelligence/Machine Learning, that runs behind the BFSI sector to provide its services. This book functionally explains the core concepts of how businesses adapt to Data-Driven solutions to generate profits, reduce risks, and provide better customer support, giving a brief idea to the top management in understanding such a field. On the other hand, this book technically aims to provide solutions to multiple banking pain points using programming languages like Python, R, IBM SPSS, etc.