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BECS 184 Data Analysis | Quick Readable...
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| Category | : FOUR-YEAR UNDERGRADUATE PROGRAMMES |
| Sub Category | : Bachelor of Social Work (BFSW) |
| Products Code | : FYUP-BFSW-GP |
| HSN Code | : 490110 |
| Language | : Hindi, Hindi, English, English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 50 |
| Weight | : 157gms |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
BECS 184 - Data Analysis is a critical course in the Bachelor of Social Work (BFSW) program, focusing on providing students with core data analysis skills that support social work practice. In today's data-driven environment, understanding data is essential for social workers aiming to make informed and impactful decisions. This course equips students with both the theoretical knowledge and practical skills necessary for interpreting and utilizing data effectively, essential in fields ranging from community welfare to policy analysis.
This guide is carefully designed to include 50-60 pages of concentrated content, particularly emphasizing IGNOU's frequently asked questions, making it an invaluable tool for students preparing for exams. Using this book, BFSW students can grasp difficult concepts more easily, and benefit from practical case studies tailored to social work.
This coursebook is an ideal IGNOU guess paper resource, covering key questions likely to appear on exams, helping students efficiently plan and manage their study time. Additionally, it features real-life applications, making the material more relatable and reinforcing critical thinking and data interpretation skills.
With BECS 184, students will be able to:
By using this book, BFSW students can streamline their study efforts, secure a comprehensive understanding of data analysis, and improve their performance on exams, setting a strong foundation for a successful career.
DISCLAIMER
The IGNOU solved assignments and guess papers provided on this platform are for reference purposes only and should not be used to engage in educational dishonesty. These materials serve as learning and study tools and are not intended for submission as original work. Users are responsible for using these materials ethically and in accordance with their educational institution's guidelines. We do not assume liability for any misuse or consequences resulting from the use of these materials. By accessing and utilizing these resources, users agree to this disclaimer.
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