MIS 609 Data Management and Analytics
大数据分析hw代写 Now using the PowerPoint, create a video collage in which your facilitator should be able to see you as well as the PowerPoint
|Subject Code and Title||MIS 609 Data Management and Analytics|
|Assessment||Advanced Data Analysis and Visualisation Presentation|
|Learning Outcomes||The Subject Learning Outcomes demonstrated by successful completion of the task below include:|
a) Evaluate the broad concepts of data management.
b) Elaborate how to manage data within organisations, teams and projects. Investigate techniques on how to collect, store, clean and manipulate data.
c) Explore advanced data analysis and data visualisation techniques and apply when and where applicable.
d) Critically analyse and apply data issues in an organisational context.
e) Effectively report and communicate findings to a business audience who are not necessarily IT professionals.
f) Critically analyse and interpret data analytics, its principles and tools for organisational problem solving.
|Submission||Due by 11:55pm AEST/AEDT Sunday end of Module 4.2|
|Total Marks||100 marks|
Assessment Task 大数据分析hw代写
In groups, apply advanced data analysis and visualisation skills, and create meaningful data visualisations for a public dataset. Then, create a 5-10-minute presentation as a short video explaining the findings of your visual analysis.
In Module 3, you learnt about Advanced Data Visualisations techniques. You have also explored different analysis methods and the usage of statistics in data analysis. This group presentation gives you the opportunity to select publicly available datasets, transform, perform analysis, use advanced visualisation techniques on the data, identify meaningful insight into what selected data has to offer.
Step 1: Group formation and registration
Form groups of two members each.You may seek help from your learning facilitator.
Step 2: Find out the issues that the selected data has. Make note of all the identified issues. For every issue identified you should have a solid rationale.
Step 3: Analyse selected data using the selected tool and implement the advanced visualisation technique. Creating meaningful visualisations that give you more visual insight into data.
Step 4: Based on analysis using visualisation, identify important finding about that data. Step 5: Carefully identify your limitations.
Step 6: Now create a Microsoft PowerPoint presentation having the following sections: Section1: Selected Dataset
Provide a link to data. 大数据分析hw代写
Explain why you selected this data.
Note: Section 1- May become optional if Pernix provides the dataset.
Section 2: Selected Advanced Data analytics technique/ Visual
Explain why you selected this analysis method/ visual
Provide a brief overview of the advanced analysis method Forecasting/Prediction, Trendlines, linear regression Decision tree/Python in power BI
Usage of power query/DAX expressions
Provide a one/2 slide write up explaining the usage of the selected method
in the industry. You can reference any website or white paper or blog or video
What data transformations did you do to prepare the data?
Section 3: Visualisations (Diagrams)
On the PowerPoint slide, copy a diagram (visualisation) and beneath the
visual briefly explain what information/knowledge you obtained from the diagram.
Section 4: Findings and Limitations
Explain your findings about the selected data as a result of data analysis (/
visualisation) that you have performed.
Enlist your limitations. 大数据分析hw代写
Section 5: Group Work Distribution
Categorically explain how work was distributed between group members.
Step 7: Now using the PowerPoint, create a video collage in which your facilitator should be able to see you as well as the PowerPoint slides in the video. Please note that this 5-10-minute 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). Plan and rehearse the speech before creating the video.
It is essential that you use appropriate APA style for citing and referencing research. Please see more information on referencing here:http://library.laureate.net.au/research_skills/referencing
Submit Assessment 2 via the Assessment link in the main navigation menu in MIS609 Data Management and Analytics. The Learning Facilitator will provide feedback via the Grade Centre in the LMS portal. Feedback can be viewed in My Grades.
Academic Integrity 大数据分析hw代写
All students are responsible for ensuring that all work submitted is their own and is appropriately referenced and academically written according to theAcademic Writing Guide. Students also need to have read and be aware of Torrens University Australia Academic Integrity Policy and Procedure
and subsequent penalties for academic misconduct. These areviewable online. Students also must keep a copy of all submitted material and any assessment drafts.
To apply for special consideration for a modification to an assessment or exam due to unexpected or extenuating circumstances, please consult theAssessment Policy for Higher Education Coursework and ELICOSand, if applicable to your circumstance, submit a completedApplication for Assessment Special Consideration Formto your Learning Facilitator