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Category | : FOUR-YEAR UNDERGRADUATE PROGRAMMES |
Sub Category | : Bachelor of Commerce (BCOMF) |
Products Code | : FYUP-BCOMF-QRN |
HSN Code | : 490110 |
Language | : Hindi, English |
Author | : BMAP EDUSERVICES PVT LTD |
Publisher | : BMAP EDUSERVICES PVT LTD |
University | : IGNOU (Indira Gandhi National Open University) |
Pages | : 100-130 |
Weight | : 157gms |
Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
The BECS 144 Data Analysis book is an essential resource crafted specifically for IGNOU Bachelor of Commerce (BCOMF) students tackling the subject of data analysis. This well-organized guide aims to simplify the complex field of data analysis, turning it into manageable concepts for students, with a focus on the most exam-relevant topics.
This book is a game-changer for students seeking quick-read, exam-ready material. It is structured in a way that covers all essential concepts and frequently tested topics in approximately 100-130 pages, making it ideal for last-minute revision. The notes are created by considering frequent exam questions, ensuring that students focus on areas that will likely yield high returns during exams. Additionally, each topic is explained with conceptual clarity and depth, ensuring students gain a solid understanding even if they’re studying it for the first time.
Focused Learning: The material is exam-oriented, eliminating the need to wade through unrelated content, helping students concentrate on key data analysis topics crucial for exams.
Time-Efficient: With 130-150 pages, students can easily review the entire subject in just a few days, allowing for quick and efficient revision without feeling overwhelmed.
Conceptual Depth in Simple Language: Designed for clear understanding, each concept is broken down into easy-to-understand terms, making complex data analysis accessible for all levels of students.
Frequently Asked Topics Covered: The content has been compiled by analyzing past IGNOU exams, ensuring that frequently asked topics are thoroughly covered to maximize exam readiness.
Portable and Concise Format: This book’s concise format is ideal for students who prefer quick revision notes. It covers essential topics in a fraction of the typical study material size, making it easy to carry and review on the go.
Data analysis can be challenging, especially under exam pressure, which is why this book focuses on breaking down complex topics into straightforward explanations. By organizing information into digestible chunks, it helps students retain and recall key concepts during exams. The exam tips and topic summaries included guide students on areas to emphasize, ensuring they have a strategic advantage during exams.
This guide goes beyond rote memorization by providing students with a deeper understanding of core data analysis principles, a benefit that extends beyond exams and into real-world applications. Quickly reviewable content and conceptual summaries make this a go-to resource for anyone aiming for high marks without hours of exhaustive reading.
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