data science amp big data analytics 4
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.