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Yes, this book is meticulously crafted to align 100% with the prescribed syllabus for Paper Code: BCA-DSC-2(Maj)-202 for Panjab University, Chandigarh.
Absolutely. The book provides comprehensive coverage of both theory units (AI and Data Science) and includes detailed, step-by-step instructions for the practical component on spreadsheet software.
Yes, the book is designed for undergraduate students and starts with the fundamental concepts of both Artificial Intelligence and Data Science, making it ideal for beginners.
While the concepts of data management, functions, and visualization are universal, the tools mentioned (like Flash Fill, Data Validation) are primarily features of Microsoft Excel, which is the industry and academic standard.
As per the university syllabus, the book provides a strong introductory overview of these key AI technologies, including Machine Learning, Deep Learning, NLP, and Computer Vision, explaining their core concepts and applications.
Yes, a dedicated section breaks down the entire Data Science Life Cycle or project stages, including data collection, pre-processing, cleaning, integration, transformation, reduction, and storage.
Yes, the book has a detailed chapter on advanced data management that covers a wide range of functions (math, statistical, logical, text, etc.) and explicitly includes the use of nested functions.
Yes, the final chapter is dedicated to Data Visualization, Searching, and Summarizing using spreadsheet software, which is a key component of the practical syllabus and exam.
The book covers essential data tools such as Data Validation, Removing Duplicates, Text to Columns, and Flash Fill, which are crucial for efficient data management.
No, this introductory course focuses on concepts and practical implementation using spreadsheet software, not programming. No prior programming knowledge is assumed or required.V
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Yes, this book is meticulously crafted to align 100% with the prescribed syllabus for Paper Code: BCA-DSC-2(Maj)-202 for Panjab University, Chandigarh.
Absolutely. The book provides comprehensive coverage of both theory units (AI and Data Science) and includes detailed, step-by-step instructions for the practical component on spreadsheet software.
Yes, the book is designed for undergraduate students and starts with the fundamental concepts of both Artificial Intelligence and Data Science, making it ideal for beginners.
While the concepts of data management, functions, and visualization are universal, the tools mentioned (like Flash Fill, Data Validation) are primarily features of Microsoft Excel, which is the industry and academic standard.
As per the university syllabus, the book provides a strong introductory overview of these key AI technologies, including Machine Learning, Deep Learning, NLP, and Computer Vision, explaining their core concepts and applications.
Yes, a dedicated section breaks down the entire Data Science Life Cycle or project stages, including data collection, pre-processing, cleaning, integration, transformation, reduction, and storage.
Yes, the book has a detailed chapter on advanced data management that covers a wide range of functions (math, statistical, logical, text, etc.) and explicitly includes the use of nested functions.
Yes, the final chapter is dedicated to Data Visualization, Searching, and Summarizing using spreadsheet software, which is a key component of the practical syllabus and exam.
The book covers essential data tools such as Data Validation, Removing Duplicates, Text to Columns, and Flash Fill, which are crucial for efficient data management.
No, this introductory course focuses on concepts and practical implementation using spreadsheet software, not programming. No prior programming knowledge is assumed or required.V
