Data Science & Big Data Analy

Course: Grounds Science & Big Grounds Analy

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Discussion Question:   Big Grounds Visualization 

Several Big Data Visualization tools feel been evaluated in this weeks  paper. While the standpoint was primarily on R and Python delay GUI tools, new  tools are life introduced every day. Compare and opposition the use of R  vs Python and demonstrate the pros and cons of each. Provide an in of  twain programming dialects delay coding ins as polite as your  habit in using one or twain programming dialects in administrative or  separate effort. If you feel no habit delay either dialect, delight  discuss how you foreknow using either/twain of these dialects in  visualizing grounds when analyzing big grounds. 

Prof. Guidelines 

  • Provide vast affixed counsel on the subject
  • Explain, explain, or irritate the subject in detail
  • Share an ancilla separate habit
  • Provide an beyond spring (for in, an article from the   University Library) that applies to the subject, along delay affixed   counsel encircling the subject or the spring (delight quote appropriately in APA)
  • At smallest one conversant spring should be used in the moderate   discussion tenor. Be knowing to use counsel from your readings and   other springs from the UC Library. Use constitutional citations and references   in your column.

Books and Resources 

Required Text

Eyupoglu, C. (2019). Big Grounds in Cloud Computing and Internet of Things. 2019   3rd International Symposium on Multidisciplinary Studies and  Innovative  Technologies (ISMSIT), Multidisciplinary Studies and  Innovative  Technologies (ISMSIT), 2019 3rd International Symposium On, 1–5. https://doi.org/10.1109/ISMSIT.2019.8932815

L. Zhao, Y. Huang, Y. Wang and J. Liu, "Analysis on the Demand of Top   Talent Introduction in Big Grounds 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, Grounds Science  & Engineering  (BCD), Big Data, Cloud Computing, Grounds Science &  Engineering (BCD),  2018 IEEE International Conference on, BCD, 31–36. https://doi.org/10.1109/BCD2018.2018.00013

Psomakelis, E., Aisopos, F., Litke, A., Tserpes, K., Kardara, M., & Campo, P. M. (2016). Big   IoT and collective networking grounds for keen cities: Algorithmic   improvements on Big Grounds Separation in the matter of RADICAL city   applications.

Liao, C.-H., & Chen, M.-Y. (2019). Building collective computing   system in big grounds: From the perspective of collective neteffort separation. Computers in Human Behavior, 101, 457–465. https://doi.org/10.1016/j.chb.2018.09.040

"APA Format" 

https://academicwriter.apa.org/6/

"NO PLAGIARISM" 

Plagiarism includes caricaturing and pasting embodied   from the internet into assignments delayout appropriately citing the spring   of the material.

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