Data Science Class IX (Code 419)
Book Details:
• Author: Preeti Saxena
• Publisher: S.K. Kataria & Sons
• Edition: First 2023
• Language: English
• Number of Pages: 325
• Binding: Unknown Binding
• Release Date: 01 December 2023
• ISBN: 9789350147597
Description:
Data Science Class IX (Code 419) is a comprehensive academic book designed for school students studying data science and modern digital technologies. Written by Preeti Saxena, the book explains the fundamentals of data science, data handling, and analytical concepts in a clear and student-friendly manner.
The book provides detailed coverage of important topics related to data collection, data analysis, digital tools, problem-solving techniques, and basic concepts of modern information technology. The content is structured according to the Class IX curriculum and helps students build foundational knowledge in data science and computational thinking.
With well-organized chapters and easy-to-understand explanations, this book serves as an excellent academic and reference resource for classroom learning, examination preparation, practical understanding, and skill development in the field of data science and information technology.
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Description
Book Details:
• Author: Preeti Saxena
• Publisher: S.K. Kataria & Sons
• Edition: First 2023
• Language: English
• Number of Pages: 325
• Binding: Unknown Binding
• Release Date: 01 December 2023
• ISBN: 9789350147597
Description:
Data Science Class IX (Code 419) is a comprehensive academic book designed for school students studying data science and modern digital technologies. Written by Preeti Saxena, the book explains the fundamentals of data science, data handling, and analytical concepts in a clear and student-friendly manner.
The book provides detailed coverage of important topics related to data collection, data analysis, digital tools, problem-solving techniques, and basic concepts of modern information technology. The content is structured according to the Class IX curriculum and helps students build foundational knowledge in data science and computational thinking.
With well-organized chapters and easy-to-understand explanations, this book serves as an excellent academic and reference resource for classroom learning, examination preparation, practical understanding, and skill development in the field of data science and information technology.
