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Data Analytics with Generative AI
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- FormatePub
- ISBN8230741862
- EAN9798230741862
- Date de parution14/06/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurIndependently Published
Résumé
Data Analytics with Generative AI book by Younish P, published by Bookbeens, offers a comprehensive introduction to the intersection of data analytics and modern AI tools. The book begins with the fundamentals of data analytics, guiding readers through essential steps like data cleaning, handling, extraction, and transformation. It covers univariate and bivariate analysis to help interpret data patterns, and explores DBMS integration with AI for enhanced data management.
Readers learn SQL for analytics, alongside the basics of Python programming, progressing to data manipulation and visualization in Python. A standout feature is its deep dive into Generative AI tools, showing how AI can automate and augment data workflows. Real-world case studies enrich the content, making it practical and application-driven. Ideal for students, analysts, and professionals, this book bridges foundational techniques with cutting-edge AI capabilities.
Readers learn SQL for analytics, alongside the basics of Python programming, progressing to data manipulation and visualization in Python. A standout feature is its deep dive into Generative AI tools, showing how AI can automate and augment data workflows. Real-world case studies enrich the content, making it practical and application-driven. Ideal for students, analysts, and professionals, this book bridges foundational techniques with cutting-edge AI capabilities.
Data Analytics with Generative AI book by Younish P, published by Bookbeens, offers a comprehensive introduction to the intersection of data analytics and modern AI tools. The book begins with the fundamentals of data analytics, guiding readers through essential steps like data cleaning, handling, extraction, and transformation. It covers univariate and bivariate analysis to help interpret data patterns, and explores DBMS integration with AI for enhanced data management.
Readers learn SQL for analytics, alongside the basics of Python programming, progressing to data manipulation and visualization in Python. A standout feature is its deep dive into Generative AI tools, showing how AI can automate and augment data workflows. Real-world case studies enrich the content, making it practical and application-driven. Ideal for students, analysts, and professionals, this book bridges foundational techniques with cutting-edge AI capabilities.
Readers learn SQL for analytics, alongside the basics of Python programming, progressing to data manipulation and visualization in Python. A standout feature is its deep dive into Generative AI tools, showing how AI can automate and augment data workflows. Real-world case studies enrich the content, making it practical and application-driven. Ideal for students, analysts, and professionals, this book bridges foundational techniques with cutting-edge AI capabilities.