Analytics Capstone Project

PROJECT OVERVIEW STATEMENT

Project Name: Covid-19 Pandemic

Project Manager:

Problem/Opportunity:

The COVID-19 pandemic is an ongoing global pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2). The outbreak was first identified in December 2019 in Wuhan, China. As of 25 August 2020, more than 23.6 million cases of COVID‑19 have been reported in more than 188 countries and territories, resulting in more than 814,000 deaths.

Goal:

By doing research and gathering resources from major countries to find out how countries are reacting to the viruses differently and how does the pandemic affect them respectively. Ultimately, develop analytical methods and compare analyzed data results to find out which country have the most effective way to beat the Covid-19 Pandemic so others can follow as an example, and to predict the end of the global pandemic.

Objectives:

· Gathering secondary data to provide a comprehensive review of multiple sources and characteristics of constraints typically found in reliable articles and projects

· Fix data errors to produce high-quality data in order to make better and more accurate conclusion

· To develop classification methods for identification and modeling to find commons and differences for major countries

· Establish multiple regression models to get the best prediction model and more accurate results

· Review existed academic practices and researches in regard to compare to the chose model and to make a final conclusion

Success Criteria:

· Valid tools like RapidMiner, Tableau and R programming are really useful for data analytics.

· Proper classification and regression machine learning models should be chose for identification and prediction purposes.

Assumptions, Risks, Obstacles:

· Too much data: it’s difficult to dig down the insights that are needed the most

· Poor quality: output is unreliable with inaccurate input

· Data conflicts: data from multiple sources might conflict with each other which can lead to inaccurate analysis

Prepared By

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Approved By

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