{"id":4993,"date":"2022-12-28T12:59:26","date_gmt":"2022-12-28T12:59:26","guid":{"rendered":"https:\/\/assignmenttask.com\/answers\/?p=4993"},"modified":"2022-12-28T13:01:28","modified_gmt":"2022-12-28T13:01:28","slug":"data-analytics-assignment-project-questions-and-answers","status":"publish","type":"post","link":"https:\/\/assignmenttask.com\/answers\/data-analytics-assignment-project-questions-and-answers\/","title":{"rendered":"Data Analytics Assignment Project Questions and Answers"},"content":{"rendered":"

Data Analytics Assignment Project Solutions<\/strong><\/h2>\n

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The objective of the \ufb01nal project is to put into practice one (or more) of the tools that you have seen in this course. You can use Excel, Power Query, Power BI, SQL,<\/strong><\/p>\n

Python, Machine Learning <\/strong>or any other visualisation tool, method or software <\/strong>that can help you to implement the \ufb01nal project.<\/p>\n

IMPORTANT: <\/u><\/strong>The focus of the project is on Visualisation<\/strong>! That means that the grading will be mainly based on how you visualised and represented the data (e.g. answers to your research questions).<\/p>\n

You can take a scenario where an executive from the company X for which you work will receive the \ufb01nal presentation and will have to take a decision based on the insights he\/she saw in the PPT\/PDF or else the presentation that you sent to him\/her (this is just <\/em>an illustrative example).<\/em><\/p>\n

COVID-19 Project<\/strong>: The aim of the Final project is to make some basic data manipulations and visualisation of the geographic distribution of COVID-19 cases worldwide.<\/p>\n

Research questions:<\/strong><\/h3>\n

1. Do the curves of cases and deaths have an upward trend globally?<\/p>\n

2. Does any continent have a distinct ascending curve of cases?<\/p>\n

3. What date was noted with the highest daily number of new cases? In which country?<\/p>\n

4. Does the epidemiological situation in France differ in comparison to Cuba?<\/p>\n

Overall, you should aim at applying some of the techniques that include, but are not limited to, data cleaning, data veri\ufb01cation, data exploration, aggregation, visualisation, etc.<\/p>\n