BIgData

Subject Name: - Data Science and Big Data Analytics

Text Book Name: - EMC Education Service (Eds). (2015) Data Science and Big Data Analytics: Discovering, Analyzing, Visualizing, and Presenting Data, Indianapolis, IN: John Wiley & Sons, Inc.

R for Data Science, Garrett Grolemund & Hadley Wickham https://r4ds.had.co.nz/introduction.html

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

Review Chapter 2 information relative to the Data Analytics Lifecycle.

Construct an essay that incorporates the following information:

a. Briefly describe the significance of correctly framing a business analytics problem to be solved.

b. Choose one industry that is of interest to you. Using this industry as an example, describe issues that may arise from a poorly framed problem.

- Minimum word length: 550

- Minimum documented sources: 2

- Essay formatted per APA specifications including both in-text and final references

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.