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| Category | : MASTER‘S DEGREE PROGRAMMES |
| Sub Category | : Master of Arts (Economics)(MAEC) |
| Products Code | : MAEC-MEC-S4-A-5.21 |
| HSN Code | : 490110 |
| Language | : English |
| Author | : BMAP EDUSERVICES PVT LTD |
| Publisher | : BMAP EDUSERVICES PVT LTD |
| University | : IGNOU (Indira Gandhi National Open University) |
| Pages | : 300 |
| Weight | : 199 GM |
| Dimensions | : 21.0 x 29.7 cm (A4 Size Pages) |
Our study guide for IGNOU's MCS 226 Data Science and Big Data course, a part of the MA Economics program, is an invaluable resource designed to assist students in mastering this complex subject. With a comprehensive coverage of the entire syllabus, students can rest assured that they won't miss out on any crucial topics.
The guide is meticulously crafted to be exam-oriented, focusing on the key concepts and principles that are likely to be tested. This ensures that students can effectively prepare for their exams and perform exceptionally well. The content is presented in a concise and condensed format, spanning 300-350 pages, making it easy to digest and retain important information.
By using this study guide, students can benefit in several ways:
Whether you're aiming to excel in your exams or seeking a deeper understanding of Data Science and Big Data, our study guide is the perfect companion for your academic journey.
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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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