question archive 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

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

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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. 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. course:BUSINESS INTELLIGENCE, JOB:SOFTWARE DEVELOPER

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the knowledge, skills, or theories of this course have been applied, or could be applied, practically to my current work environment in the field of business intelligence in the following manner:

  • Business analyst's data insight and telemetry course done during studies help the organization to reveal information from users data and transactions to determine the future plans to increase the revenue and profits.
  • Reading the structured data in real life also draw meanings from the data which is not visible by normal employee, which helps the organization to server the customer better.
  • Knowledge about testing various hypothesis and models help in testing various features simultaneously using AB testing and determining which feature to go ahead with in real time.
  • Knowledge of Linear discriminant analysis, and other regression technique studies in course help in projecting the future growth as well based on the decision taken by the organization and hence maximizing the throughput before even executing it.
  • It's the knowledge that we gain after studying and understanding the theory that we get the confidence to face any issue which would come in real life.
  • It clears our basic concepts and understanding of the subject, for me its business intelligence after which developing solution to the problems which are not tackled before becomes easier.
  • As we dig deeper inside any feature execution we can see, the basic things and models that we were taught is same as what is being used in real life or in the industries.
  • From outside, it may not look that its been used, but as we understand deeper conepts and internal implementations, it becomes clear further more.