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Yes, it is meticulously crafted to cover 100% of the syllabus for Paper Code: BCA-DSC-2(Maj)-202 as prescribed by PU, Chandigarh, under the NEP framework.
Absolutely. It provides a strong theoretical foundation in AI and Data Science concepts (Units I & II) and dedicates significant practical sections (Units III & IV) to hands-on data analysis using spreadsheet software.
Yes, the book is designed for beginners. Unit II starts with an introduction to Data Science, its evolution, the data life cycle, and fundamental concepts like data types and pre-processing, making it easy for students to follow.
The book provides detailed coverage of a wide range of functions, including Math, Statistical, Trigonometric, String/Text, Date and Time, Logical, and Database functions, including the implementation of Nested Functions.
Yes, Unit IV offers comprehensive explanations and, presumably, step-by-step guidance on creating Pivot Tables for data summarization and using VLOOKUP/HLOOKUP for searching data, which are crucial for the practical exam.
Yes, Chapter 3 (as per the Table of Contents) and Unit I of the syllabus specifically cover "Ethical Issues and the Future of AI."
Yes, Unit II includes a dedicated overview of Data Pre-processing, covering essential steps like Data Cleaning, Integration, Transformation, and Reduction (including Data Discretization), which are key topics for theory exams.
Yes, the syllabus and the book's contents specify covering applications of AI in Healthcare, Education, and Agriculture, and Data Science applications in various fields, providing a contextual understanding.
The book covers applying essential data tools like Data Validation, Removing Duplicates, Text to Columns, and Flash Fill for efficient data management.
While it is perfectly tailored for university exams, its clear explanation of foundational concepts and practical spreadsheet skills makes it an excellent self-study resource for anyone beginning their journey in AI and Data Science.
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Yes, it is meticulously crafted to cover 100% of the syllabus for Paper Code: BCA-DSC-2(Maj)-202 as prescribed by PU, Chandigarh, under the NEP framework.
Absolutely. It provides a strong theoretical foundation in AI and Data Science concepts (Units I & II) and dedicates significant practical sections (Units III & IV) to hands-on data analysis using spreadsheet software.
Yes, the book is designed for beginners. Unit II starts with an introduction to Data Science, its evolution, the data life cycle, and fundamental concepts like data types and pre-processing, making it easy for students to follow.
The book provides detailed coverage of a wide range of functions, including Math, Statistical, Trigonometric, String/Text, Date and Time, Logical, and Database functions, including the implementation of Nested Functions.
Yes, Unit IV offers comprehensive explanations and, presumably, step-by-step guidance on creating Pivot Tables for data summarization and using VLOOKUP/HLOOKUP for searching data, which are crucial for the practical exam.
Yes, Chapter 3 (as per the Table of Contents) and Unit I of the syllabus specifically cover "Ethical Issues and the Future of AI."
Yes, Unit II includes a dedicated overview of Data Pre-processing, covering essential steps like Data Cleaning, Integration, Transformation, and Reduction (including Data Discretization), which are key topics for theory exams.
Yes, the syllabus and the book's contents specify covering applications of AI in Healthcare, Education, and Agriculture, and Data Science applications in various fields, providing a contextual understanding.
The book covers applying essential data tools like Data Validation, Removing Duplicates, Text to Columns, and Flash Fill for efficient data management.
While it is perfectly tailored for university exams, its clear explanation of foundational concepts and practical spreadsheet skills makes it an excellent self-study resource for anyone beginning their journey in AI and Data Science.
