COMP517 – Data Analysis Assignment Sample Answer Semester 1, 2026 | AUT

COMP517 Summary

Data analysis has become a core competency across business, technology, science, and public-sector environments. Organisations increasingly rely on data to inform decisions, improve performance, manage risk, and identify opportunities. As the volume, variety, and velocity of data continue to grow, the ability to collect, prepare, analyse, and interpret data in a structured manner is essential for modern professionals....View More

Table Of Contents

1.Introduction......................................................................................................................................................................... 3
Accessing Data from Multiple Sources............................................................................................................................... 3
Cleaning and Preparing Data .............................................................................................................................................. 3
Database Formats and Data Wrangling............................................................................................................................... 3
Data Visualisation and Analysis Techniques...................................................................................................................... 4
Interpreting and Presenting Results .................................................................................................................................... 4
2. Learning Outcome 1: Apply knowledge and skills to solve a range of data analysis problems involving small to medium
scale datasets....................................................................................................................................................................... 4
Understanding the Data and the Problem Context.............................................................................................................. 4
Data Preparation and Cleaning ........................................................................................................................................... 5
Applying Appropriate Analytical Techniques.................................................................................................................... 5
Problem-Solving Using Data .............................................................................................................................................. 5
Accuracy and Responsible Data Use .................................................................................................................................. 6
Relevance to Academic and Professional Practice ............................................................................................................. 6
Learning Outcome 2: Communicate the Results of Their Analysis Accurately and Reliably, with Structured and
Coherent Arguments..................................................................................................................................................... 6
Accurate and Reliable Communication of Results ............................................................................................................. 6
Structured Presentation of Analysis Results....................................................................................................................... 6
Coherent and Logical Arguments....................................................................................................................................... 7
Use of Tables, Charts, and Written Explanation................................................................................................................. 7
Avoiding Misinterpretation and Bias.................................................................................................................................. 7
Audience Awareness........................................................................................................................................................... 7
Learning Outcome 3: Work Collaboratively in a Group to Apply Knowledge and Skills in the Analysis of a Medium to
Large Scale Dataset and to Present, Interpret and Evaluate the Results Through a Group Report............................... 8
Collaborative Analysis of Medium to Large Scale Datasets............................................................................................... 8
Applying Knowledge and Skills in a Group Context.......................................................................................................... 8
Group Reporting and Presentation of Results..................................................................................................................... 8
Interpretation and Evaluation of Results............................................................................................................................. 9
Development of Professional and Interpersonal Skills....................................................................................................... 9
Conclusion .......................................................................................................................................................................... 9
References......................................................................................................................................................................... 10

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