Reference no: EM133721961

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 organizational problem solving.

Assessment Task
In groups, apply data analysis and visualisation skills, and create meaningful data visualisations for a public dataset. Then, create a 10-15minutes 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: 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 issues that the selected data has and apply suitable steps to handle the issues.

Step 4: Formulate 4-5 investigative questions that you can answer using your chosen dataset. For example, if you are exploring a sales dataset, your questions may be: - Which product made the most profit in a particular month? Or which region made most sales of a particular product sub- category in a given year?
Step 4: Analyse selected data using the selected tool and try creating meaningful visualizations that answer the above questions and provide visual insights into the data.
Step 5: Based on your analysis using visualisations, 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 how you handled data issues.
Describe your data with key variables and their data types.

Section 2: Aims and objectives:
List your aims and the investigative questions (see step 4 above) that you answered by analysing your chosen dataset.

Section 3: Visualisations (Diagrams):
On every PowerPoint slide, copy a diagram (visualisation) and above every diagram state the objective and beneath every diagram briefly explain what information/knowledge you obtained from the chart. Make as many PowerPoint slides as you want to.
The visualisation should include dashboard(s) with multiple charts, conveying insights.
In the video recording, it is expected that students show the functionality of the charts and dashboards from the visualisation tool window rather than just adding screenshots 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.

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.

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

Attachment:- Train.rar