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MCS 226 Data Science and Big Data | Guess Papers of IGNOU

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MCS 226 Data Science and Big Data | Guess Papers of IGNOU

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Comprehensive guide on data science and big data for MCA_NEW students. Includes critical exam questions and essential concepts.
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  • Detailed coverage of data science principles.
  • Comprehensive explanation of big data technologies.
  • Includes important questions from IGNOU Guess Papers.
  • Concise content within 50-60 pages for efficient study.
Category : MASTER‘S DEGREE PROGRAMMES
Sub Category : Master of Computer Applications (MCA_NEW)
Products Code : MCA_NEW-MCS-S3-5.26
HSN Code : 490110
Language : 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)



Details

This book, designed specifically for the MCS 226 Data Science and Big Data course, is an essential resource for students pursuing a Master of Computer Applications (MCA_NEW). It provides a thorough understanding of both data science and big data concepts, ensuring that students grasp both theoretical and practical aspects necessary for their academic and professional careers.

Benefits:

  • Concise and Focused: The book condenses complex topics into a manageable 50-60 pages, facilitating efficient study and revision.
  • Exam Preparation: Features significant questions from IGNOU Guess Papers, thoroughly preparing students for their exams.
  • High Scores: Focuses on the most critical topics, helping students achieve high marks.
  • Practical Knowledge: Equips students with practical insights applicable in real-world data science and big data scenarios.

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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