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Data Analytics

GenAI Infused Curriculum

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Data Analytics

By: Ajit Singh
Narrated by: Virtual Voice
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"Data Analytics (GenAI Infused Curriculum)" is a pioneering textbook designed for the next generation of data professionals. It systematically demystifies the world of data analytics while seamlessly integrating the revolutionary power of Generative AI as a practical, hands-on tool. This book provides a comprehensive, one-stop resource for B.Tech and M.Tech students, bridging the gap between foundational academic theory and the cutting-edge skills demanded by the global technology industry.


Key Features:


1. GenAI Infused Curriculum: A unique, integrated approach that teaches students how to use Generative AI tools as a co-pilot to accelerate every stage of the data analytics lifecycle, from ideation to reporting.
2. Simplified & Practical Approach: Complex theories and algorithms are broken down into simple, digestible explanations, supported by easy-to-follow practical examples using popular Python libraries.
3. Comprehensive and Structured Content: The book’s 10-chapter structure provides a logical and progressive learning path, starting from the absolute fundamentals and advancing to machine learning, big data, and real-world capstone projects.
4. Focus on Employability: By covering in-demand topics like data storytelling, dashboarding with BI tools (Tableau/Power BI), and ethical AI, the book equips students with the skills that employers are actively seeking.
5. Ethical and Responsible Focus: A dedicated emphasis on data ethics, bias, fairness, and privacy is woven throughout the book, preparing students to be responsible and conscientious data professionals in a complex world.
6. Future-Ready Perspective: The final chapter looks beyond the present, discussing emerging trends and the importance of lifelong learning to ensure students are prepared for the future of the field.


This book is for the curious, the ambitious, and the pragmatic. It is for the B.Tech student taking their first steps into the world of data, the M.Tech scholar seeking to deepen their expertise, the university professor looking for a modern and engaging textbook, and the self-taught professional aiming to upskill in an AI-driven world. My hope is that by the end of this journey, you will not only be a proficient data analyst but also a savvy user of next-generation AI tools, ready to solve real-world problems and drive innovation.


Welcome to the future of data analytics. Let's begin this exciting journey together!! Computer Science Data Science Student Machine Learning Technology
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