Empowering Learning, Uniting Minds: BookMyAssignments Elevates Education

MNM 033 Data Science and Big Data | Quick Readable Notes For IGNOU Exam

  • Home
  • MAJDM-MNM-Y2-5.55

MNM 033 Data Science and Big Data | Quick Readable Notes For IGNOU Exam

Bought By : 400 Students          
38 reviews

Buy Combo and Save upto 50%

        Whatsapp Enquiry

Instant Download in Next 2 Minutes after Payment.

Explore the intersection of journalism and data analytics with MNM 033 Data Science and Big Data, focusing on data-driven storytelling, analytics tools, and ethical considerations.

  • Data-Driven Storytelling: Techniques for using data to enhance journalistic narratives.
  • Analytics Tools: Utilization of tools for data collection, analysis, and visualization.
  • Exam Preparation: Concise notes covering syllabus in 100-130 pages.
  • Ethical Guidelines: Understanding ethical considerations in data journalism.
Category : MASTER‘S DEGREE PROGRAMMES
Sub Category : Master of Arts (Journalism and Digital Media) (MAJDM)
Products Code : MAJDM-MNM-Y2-5.55
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

MNM 033 Data Science and Big Data is a transformative course for MAJDM students, integrating data science principles into journalistic practice. This course explores the application of data analytics in journalism, focusing on data-driven storytelling and investigative reporting. Students will learn to use analytics tools for data collection, analysis, and visualization, enhancing their ability to uncover stories from large datasets. Ethical considerations in data journalism, including privacy concerns and data integrity, are also discussed. The course materials are condensed into 100-130 pages, ensuring thorough exam preparation and practical skills for future data-driven journalism.

Key Features:

  • Data-Driven Storytelling: Techniques for integrating data into journalistic narratives.
  • Analytics Tools: Practical use of tools for data analysis and visualization.
  • Exam Preparation: Concise notes ensure comprehensive coverage of syllabus essentials.
  • Ethical Guidelines: Understanding ethical considerations in data journalism.

Related Products

View All
Bookmyassignments

MNM 033 Data Science and Big Data | Quick...

Rs.149  
Bookmyassignments

MNM 033 Data Science and Big Data | IN-DEPTH...

Rs.299  
Bookmyassignments

MNM 033 Data Science and Big Data | Guess Papers...

Rs.50  

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.

  Chat with us
Handwritten Assignments Order Project, Practical, Synopsis, Internship File Order