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DATA-DRIVEN DECISION MAKING: BIG DATA ANALYTICS FOR BUSINESS SUCCESS

, , , 978-93-5747-145-9 PAPERBACK FIRST EDITION , , ,

Meet The Author

Welcome to “Big Data Analytics: Techniques and Applications”, an eBook that provides an overview of Big Data Analytics, its techniques, and its applications. The exponential growth of data has made it essential for organizations to leverage data for business insights, and Big Data Analytics is the key to unlocking the value of this data. This eBook is designed to provide a comprehensive understanding of Big Data Analytics and its applications, as well as its challenges and the future of Big Data Analytics.

This eBook is divided into 20 chapters, each of which provides a detailed overview of Big Data Analytics, its techniques, and its applications. Chapter 1 introduces the reader to Big Data Analytics, its importance, and a brief history of Big Data Analytics. Chapters 2-4 focus on data pre-processing, management, and exploratory data analysis. Chapters 5-8 dive into the types of Big Data Analytics, including descriptive, diagnostic, predictive, and prescriptive analytics. Chapters 9-14 explore the techniques for Big Data Analytics, including machine learning, natural language processing, deep learning, data mining, text analytics, and image analytics. Chapters 15-20 focus on the applications of Big Data Analytics in various industries, including marketing and sales, healthcare, finance and banking, manufacturing, transportation and logistics, and government and public services.

Each chapter provides a comprehensive understanding of the topic, including techniques, case studies, and real-world applications. The eBook is designed for anyone who wants to learn about Big Data Analytics, whether you are a student, a data analyst, a business professional, or an IT professional. The content is accessible, engaging, and informative, making it a valuable resource for beginners and advanced learners alike.

In conclusion, I hope this eBook will provide you with a comprehensive understanding of Big Data Analytics, its techniques, and its applications. The field of Big Data Analytics is constantly evolving, and this eBook provides an up-to-date overview of the field. Whether you are new to Big Data Analytics or an experienced practitioner, this eBook has something for everyone.

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