Tools Used for Data Analytics and Representation - Business Assignment Help
Order Code: MAS37030
Question Task Id: 221300
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1 Module Learning Outcomes
On completion of this module you should be able to have:
LO1 A critical awareness of current problems and research issues in tools used for Data Analytics and Representation.
LO2 A comprehensive understanding of current advanced scholarship and research in data mining, data analysis, data intelligence, and how this may contribute to the effective design and implementation of data representation applications.
LO3 The ability to consistently apply knowledge concerning current research and advanced scholarship in area of data mining, data analysis, and data intelligence in an original manner and produce work which is at the forefront of current developments.
LO4 Critically evaluate basic principles and motivations behind the idea of data Intelligence, understanding different perspectives relating to data Intelligence and develop ideas regarding the ways in which data intelligence (e.g. Business Intelligence) principles can be translated into feasible and effective practices for and decision support systems.
2 Module Aims
On behalf of the module team, I would like to welcome you to this module, which we hope you will find both challenging and rewarding.
The module is based around the use of data analytics for informatics, decision making support, and intelligent systems. We will investigate the models, approaches, issues, techniques and technologies to support data analytics and intelligence. At MSc level, the style of learning is very self-directed, you are expected to investigate and expindependently and report back to the group. It is important to be able to understand and explain your findings.lore topics
3 Assignment Brief
You are a BI analyst working for an organisation. Your goal is to conduct a rigorous investigation on business data and business performance indicators for the organisation or some relevant companies. You are given datasets in MyBeckett.
Your task is to choose the appropriate technique/s taught in class to analyse the key data presented in the chosen dataset/s. You shall present your findings accompanied by recommendations to the company’s management team or relevant target audience. You should use all the skills and knowledge that you have learned in the module for the preparation of your report. Appropriate techniques in data analysis and visualisation should be critically evaluated and presented in your report. The stages of your analyses should encompass the following: (i) descriptive statistics analysis; (ii) inferential statistics analysis; (iii) advanced data analytics. You should use python other relevant software to help you analyse the chosen dataset/s.
You should consider to address the following questions and summarise them in your literature, methodology, findings and discussion and recommendation.
1. Focus on a chosen organisation. Decide on the objectives of your data analyses which will be aligned to your organisation’s vision, mission or business models.
2. Use additional literature to support your choice of the business case.
3. Justify the chosen procedures and/or methods to analyse key data, and provide justification for your case.
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