Reference no: EM133548555 , Length: 10- 15 Minutes

Data Management and Analytics

Assessment - Data Analysis and Visualisation Presentation

Learning Outcome 1: Elaborate how to manage data within organisations, teams and projects. Investigate techniques on how to collect, store, clean and manipulate data.
Learning Outcome 2: Explore data analysis and visualisation techniques and apply when and where applicable.
Learning Outcome 3: Critically analyse and apply data issues in an organisational context.
Learning Outcome 4: Effectively report and communicate findings to a business audience who are not necessarily IT professionals.
Learning Outcome 5: Critically analyse and interpret data analytics, its principles and tools for organisational problem solving.

Assessment Task

In groups, apply data analysis and visualisation skills, and create meaningful data visualisations for a public dataset. Then, create a 10-15 minutes presentation as a short video explaining the findings of your visual analysis.

Context
In Module 1 and 2, you learnt about Data Visualisation and the associated tool. You have also explored what are the quality issues related to data are. This group presentation gives you the opportunity to select publicly available datasets, transform, perform analysis on it using an industry standard tool, creating visualisations that can enable you to get meaningful insight into what selected data has to offer.

Instructions

Step 1: Group formation and registration
Form groups of two members each.You may seek help from your learning facilitator.

Step 2: Select a publicly available dataset from the internet.

Step 3: Find out the involved issues of the selected data. Make note of all the identified issues. For every issue identified you should have a solid rationale.

Step 4: Analyse selected data using the selected tool and try creating meaningful visualisations that give you more visual insight into data.

Step 5: Based on analysis using visualisation, identify important finding about that data.

Step 6: Carefully identify your limitations.

Step 7: Now create a Microsoft PowerPoint presentation having the following sections: Section1: Selected Dataset
• Provide a link to data.
• Explain why you selected this data.
• Explain the issues in the selected data. Section 2: Selected Analysis/Visualisation Tool
• What are the benefits and drawbacks of the selected tool? Section 3: Visualisations (Diagrams)
• On every PowerPoint slide, copy a diagram (visualisation) and beneath every diagram briefly explain what information/knowledge you obtained from the diagram. Make as many PowerPoint slides as you want to.
• The visualisation should include dashboard(s). It is expected that the student shows the functionality of the dashboard in the video rather than just adding a screenshot of a dashboard in the presentation.
Section 4: Findings and Limitations
• Explain what your findings are about the selected data as a result of data analysis (/ visualisation) that you have performed.
• Enlist your limitations. Section 5: Group Work Distribution
• Categorically explain how work was distributed between group members. Step 8: Now using the PowerPoint, create a video presentation in which your facilitator should be able to see you as well as the PowerPoint slides in the video. Please note that this 10-15-minutes video is like an online presentation. Both members of the group should take part in the video
equally. Please ensure that you are objective in your presentation (PowerPoint and video).

Referencing
It is essential that you use appropriate APA style for citing and referencing research.