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MCS 226 Data Science and Big Data | Quick Readable Notes For IGNOU Exam

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MCS 226 Data Science and Big Data | Quick Readable Notes For IGNOU Exam

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This course provides a thorough understanding of Data Science and Big Data concepts, focusing on practical applications and equipping students for careers in data analytics.

  • Comprehensive coverage of Data Science and Big Data concepts.
  • Hands-on projects and case studies.
  • Focus on current industry tools and technologies.
  • Designed to aid in exam preparation with concise, easy-to-understand notes.
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
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)



Details

The MCS 226 Data Science and Big Data course is a key component of the Master of Computer Applications (MCA_NEW) degree. This course is designed to provide students with an in-depth understanding of Data Science and Big Data methodologies, tools, and applications.

The syllabus includes:

  • Introduction to Data Science
  • Big Data Fundamentals
  • Data Mining and Warehousing
  • Machine Learning for Data Science
  • Big Data Analytics
  • Data Visualization Techniques
  • Industry Tools: Hadoop, Spark, etc.

The content is organized to ensure that students can quickly grasp complex data concepts and apply them effectively in real-world scenarios. With a focus on exam preparation, the course material is presented in concise, easy-to-understand notes that cover the entire syllabus in just 100-130 pages. This ensures that students can efficiently review and retain key information, making it an invaluable resource for achieving academic success.

Benefits:

  • Concise Notes: Save time with condensed content that covers the entire syllabus.
  • Exam-focused: Structured to help students perform well in exams.
  • Hands-on Projects: Gain practical experience through real-world projects and case studies.
  • Current Tools: Learn to use industry-standard tools and technologies.

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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