Data Science and Big Data Analytics

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.See attached Document

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