Assignment: Data Analytics
You constructed an essay that incorporated a business analytics problem to be solved within a specific industry. Review your previous work and expand on it.
Construct an essay specific to your industry and the potential problem to be solved that outlines your proposed exploratory data analytics approach.
(a) Review the Kaggle website or use any public dataset. Choose a dataset that closely aligns with the problem you wish to solve. Add a link to the dataset.
(b) Identify five types of data that would be useful in solving this problem.
(c) Discuss your exploratory data approach. In your discussion also include mention of at least one alternative approach that you believe would be inappropriate.
Length: 750 wordds.
Format your assignment according to the following formatting requirements:
1. The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.
2. The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.
3. Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.
Discussions: Data Analytics Lifecycle
Discussion 1:
Take some time to review the announcement about the NIST Big Data Framework. "NIST Final ‘Big Data' Framework Will Help Make Sense of Our Data-Drenched Age"
a. Provide a very brief summary.
b. Discuss the pros, cons, and opportunities for using this framework.
Note: This an opportunity to share ideas and opinions with your colleagues. Discussions are meant to be interactive, so feel free to engage in active dialogue by sharing your insight and discussing the perspectives of others.
Discussion 2:
Review this article about Data Scientist: "How to avoid the worst mistake every Data Scientist can make - using these 2 crucial steps" by Haebichan Jung.
a. Provide a very brief summary.
b. Discuss the key points made by the author about data scientists. Provide your opinions, perspectives, and ideas including your agreement or disagreement with the points made.
c. Share key takeaways that can be applied to either your professional or academic aspirations.
The response should include a reference list. Double-space, using Times New Roman 12 pnt font, one-inch margins, and APA style of writing and citations.