Data Analytics
Book Details
- Publisher: S.K. KATARIA & SONS
- Language: English
- Pages: 350
- Cover: Unknown Binding
- ISBN: 9789350147405
About the Book
This book on Data Analytics provides comprehensive knowledge of data analysis techniques data mining and modern analytical frameworks used in computer science information technology and business intelligence studies. The book is designed for students learners and professionals seeking understanding of analytical methods and data-driven technologies.
The book covers important topics such as introduction to data analytics data analysis mining data streams frequent itemsets clustering techniques and data visualization frameworks. It explains analytical concepts in a clear and systematic manner helping readers develop strong conceptual understanding and practical knowledge in the field of data science and analytics.
Additional sections including previous year examination papers and index make this book highly useful for academic preparation revision and competitive examinations. The organized presentation and student-friendly approach make it a valuable learning resource for data analytics and data mining studies.
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Description
Book Details
- Publisher: S.K. KATARIA & SONS
- Language: English
- Pages: 350
- Cover: Unknown Binding
- ISBN: 9789350147405
About the Book
This book on Data Analytics provides comprehensive knowledge of data analysis techniques data mining and modern analytical frameworks used in computer science information technology and business intelligence studies. The book is designed for students learners and professionals seeking understanding of analytical methods and data-driven technologies.
The book covers important topics such as introduction to data analytics data analysis mining data streams frequent itemsets clustering techniques and data visualization frameworks. It explains analytical concepts in a clear and systematic manner helping readers develop strong conceptual understanding and practical knowledge in the field of data science and analytics.
Additional sections including previous year examination papers and index make this book highly useful for academic preparation revision and competitive examinations. The organized presentation and student-friendly approach make it a valuable learning resource for data analytics and data mining studies.
