Data Analytics
In Week One 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 (https://www.kaggle.com/datasets) 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.
Minimum word count = 750
Essay formatted per APA specifications, including in-text and final references
Minimum documented references = 3
Data Analytics Lifecycle

Discussion 1: –
Take some time to review the announcement about the NIST Big Data Framework: https://www.nist.gov/news-events/news/2019/10/nist-final-big-data-framework-will-help-make-sense-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: https://towardsdatascience.com/how-to-avoid-the-worst-mistake-every-data-scientist-can-make-using-these-2-crucial-steps-a25a90b0995
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.