data science amp big data analytics 4

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This is an opportunity to expand on that work within the context of the business analytics lifecycle and connect theory to practice.

Construct an essay specific to e-commerce industry and a potential, specific problem to be solved that outlines your exploratory data analytics approach.

(a) Review the Kaggle website (https://www.kaggle.com/datasets) or any public dataset such as those obtained from Google dataset research (https://datasetsearch.research.google.com/). Choose a dataset that closely aligns to the problem you wish to solve. Provide a link to the dataset.

  • (b) Identify five types of data that would be useful in solving the problem you identified.
  • (c) Discuss your exploratory data approach. In your discussion include mention of a least one alternative approach that you believe would be inappropriate.

Guidelines:

  • Minimum word count = 1250
  • Essay formatted per APA specifications including title page, introduction, background literature, discussion, and final summary and conclusions.
  • Include in-text and final references formatted per APA as appropriate
  • Minimum documented references = 5

Guidance:

  • Do not summarize a previously completed project as shown on Kaggle or elsewhere. Instead construct your own proposal.
  • Be sure your in-text and final references support the statements within your essay.
  • Include a clear outline of the specific problem to be solved, what types of questions are intended to be answered, and the proposed technique.