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Data science Course: Data Science & Big Data Analy Due Date –

Data science

Course: Data Science & Big Data Analy

Due Date – 5 hours

Discussion Question: 3-F Method

The concept of 3-F Method is introduced.  Discuss the purpose of this concept and how it is calculated.  Also perform your own research/analysis using these factors and provide your assessment on whether the United States need to introduce top talents in the field of big data and cloud computing by using bibliometrics.

Prof. Guidelines 

  • Provide extensive additional information on the topic
  • Explain, define, or analyze the topic in detail
  • Share an applicable personal experience
  • Provide an outside source (for example, an article from the University Library) that applies to the topic, along with additional information about the topic or the source (please cite properly in APA)
  • At least one scholarly source should be used in the initial discussion thread. Be sure to use information from your readings and other sources from the UC Library. Use proper citations and references in your post.

Books and Resources 

L. Zhao, Y. Huang, Y. Wang and J. Liu, “Analysis on the Demand of Top Talent Introduction in Big Data and Cloud Computing Field in China Based on 3-F Method,” 2017 Portland International Conference on Management of Engineering and Technology (PICMET), Portland, OR, 2017,  pp. 1-3. https://doi.org/10.23919/PICMET.2017.8125463

Saiki, S., Fukuyasu, N., Ichikawa, K., Kanda, T., Nakamura, M., Matsumoto, S., Yoshida, S., & Kusumoto, S. (2018). A Study of Practical Education Program on AI, Big Data, and Cloud Computing through Development of Automatic Ordering System. 2018 IEEE International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD), Big Data, Cloud Computing, Data Science & Engineering (BCD), 2018 IEEE International Conference on, BCD, 31–36. https://doi.org/10.1109/BCD2018.2018.00013

Required Text

“APA Format” 

https://academicwriter.apa.org/6/ 

“NO PLAGIARISM” 

Plagiarism includes copying and pasting material from the internet into assignments without properly citing the source of the material.

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