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WEEK5-Executive Practical Connection Activity-Data Science & Big Data Analy

21/09/2020 Client: murali Deadline: 10 Days

Course: Data Science & Big Data Analy


LATE SUBMISSION WILL NOT BE ACCEPTED BY PROF.


Due Date – 1 day


Executive Practical Connection Activity


At UC, it is a priority that students are provided with strong  educational programs and courses that allow them to be servant-leaders  in their disciplines and communities, linking research with practice and  knowledge with ethical decision-making. This assignment is a written  assignment where students will demonstrate how this course research has  connected and put into practice within their own career. 


Assignment:

Provide a reflection of at least 500 words (or 2  pages double spaced) of how the knowledge, skills, or theories of this  course have been applied, or could be applied, in a practical manner to  your current work environment. If you are not currently working, share  times when you have or could observe these theories and knowledge could  be applied to an employment opportunity in your field of study. 


My Job - QA Automation Developer/QA Automation Engineer/SDET


Prof. Guidelines 


Your paper should meet these requirements: 



  • Provide a 500 word (or 2 pages double spaced) minimum reflection.

  • Use of proper APA formatting and citations. If supporting evidence from outside resources is used those must be properly cited.

  • Share a personal connection that identifies specific knowledge and theories from this course.

  • Demonstrate a connection to your current work environment. If  you are not employed, demonstrate a connection to your desired work  environment. 

  • You should not provide an overview of the assignments assigned  in the course. The assignment asks that you reflect how the knowledge  and skills obtained through meeting course objectives were applied or  could be applied in the workplace. 




"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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