Reference no: EM132533972 , Length: word count:1700
Big Data Analytics
The scenario
Imagine you have a company with branches in 6 different countries. You have been asked to produce a report for stakeholders around the implications and perspectives of COVID-19.
(The company can be imaginary or real, personal or one you have researched, but it must make sense in the context of this coursework.)
With this coursework you must show your understanding of the tools to analyse datasets for producing insights, as well as how they support managerial decision-making. Such an analysis must produce forward-looking views of the phenomenon of interest. The numbers and the figures support the views and the understanding, the researchers' knowledge and professionalism contribute in finding solutions and designing strategies. This is what we expect from you in this coursework. The data The data contains the cumulative number of cases affected, recovered and death due to the COVID19 along the days for all the countries affected.
1) Download the data
2) Process the data (see Part B below)
3) Create a report as per the report structure below
The report
The report will be made of the following sections:
A. An introduction which outlines your organisation and the impact of COVID-19 so far.
B. A section on what we know from the data. Please ensure you use AT LEAST Three of the following techniques:
• Correlation
• Cluster Analysis
• Distributions
• T-tests for sample means
• Confidence intervals
• Visualisation
C. Some business recommendations based on the figures emerged.
The criteria
D. Your submission must show that you meet the learning outcomes of this module which are, that on successful completion of the module, students should be able to:
Knowledge and Understanding
• arrange, categorise, and summarise big business and financial data, using appropriate business intelligence statistical/quantitative techniques.
• understand data science tools and techniques to acquire, manage, analyse, and visualise data and be able to tell compelling stories.
Intellectual Skills
• display a mastery of skills when applying the appropriate quantitative models to the underlying business and/or financial problem being investigated.
Practical Skills
• demonstrate mastery in numeracy and IT skills
Transferable Skills
• understand and categorise methodologies and have an ability to critically analyse.
Attachment:- Big Data Analytics.zip