QBUS6600 Data Analytics for Business Capstone Semester 1, 2025 Assignment 1 (Individual Assignment) 1. Key Instructions Required submission: • Written report (

QBUS6600
Data Analytics for Business Capstone
Semester 1, 2025
Assignment 1 (Individual Assignment)
1. Key Instructions
Required submission:
• Written report (in pdf, due date: Monday, March 31 by the end of the day).
• Confidentiality Deep Poll online form (deadline for submission: Monday, March 17).
Detailed submission instructions for the report will be posted on Canvas in Week 5.
Weight: 30% of your final grade.
Length: Your written report should have a maximum of 12 pages (single spaced, 11pt). Cover
page, references, and appendix (if any) will not count towards the page limit. Please keep in
mind that making good use of your audience's time is an essential business skill: every sentence,
table or figure should serve a purpose.

2. Problem Description

Please read through the Project Outline document for your selected industry project, which you
can find on the 'Learn about our industry projects' page in the Week 1 module on Canvas. Focus
on the Problem Description section of the Project Outline, especially the first and third bullet
points (EDA and Strategy), which are the most relevant bullet points for Assignment 1. You are
not required to build a predictive model for Assignment 1. Both your analysis and your
recommendations should be in line with the requirements/suggestions provided in the Project
Outline.
As a business analyst, you will conduct Exploratory Data Analysis (EDA) of the data
corresponding to your industry project. You should aim to find or reveal all possible properties,
characteristics, patterns, and statistics hidden in the data, supporting your findings with
insightful plots and relevant statistical output.
Use the results from your EDA to outline a preliminary strategy or provide preliminary
recommendations to the UNICEF team corresponding to your selected industry project. You
will have a chance to refine these recommendations in Assignment 2.

3. Written Report
The purpose of the report is to describe, explain, and justify your findings to the UNICEF team
corresponding to your selected industry report. that team members have
training in business analytics, however, they are not experts in statistics or machine learning.
2
The team's time is important: please think about the most structured way to present your
findings. Be concise and objective.
Suggested outline for the main parts of the report (further details below):
1) Problem formulation.
2) Data processing.
3) Exploratory Data Analysis ( EDA ) . 4 ) Conclusions and
preliminary recommendations . Your report gives a detailed description of the problem that is being investigated, providing the context and background for the analysis. Data processing. You describe the data processing steps clearly and in sufficient detail, justifying and explaining your choices and decisions. You handle missing values ​​and other data issues appropriately . comprehensive description of your EDA process, presenting selected results. Your analysis is sufficiently rich, and your visualizations are insightful. You study key variables and relationships among them using appropriate plots and descriptive statistics. You note any features of the data that may be relevant for model building in Assignment 2. You note the presence of outliers and any other anomalies that can affect the analysis. You explain the relevance of the EDA results to the underlying business problem and your subsequent recommendations . problem, underlying theoretical knowledge, and data analysis. You interpret the statistical outputs that you provide. You report crucial assumptions and whether they are potentially violated. 3 Conclusions and recommendations. The reasoning from the analysis and results to your conclusions and recommendations is logical and convincing. Your conclusions and recommendations are written in plain language appropriate for non-technical audience. Writing .

logic and are well connected. If you use an abbreviation or label, you define it first.

Report layout. Your report is well organized and professionally presented, as if it had been
prepared for a client later in your career. There are clear divisions between sections and
paragraphs . Tables

. near the relevant discussion in your report. There is no text around your figures, and your tables are not images. Figures (plots). Your figures are easy to understand and have informative titles, captions, labels, and legends. The figures are well formatted and laid out . places, in some cases fewer). Referencing. You follow the University of Sydney referencing rules and guidelines. Python code. The text of your report should be entirely free of Python code. Note: you are required to use Python for all the steps of your data analysis. While there is no Python code submission for Assignment 1, you should keep your code well-organized, so that you can easily extend/modify/reuse this code for the purposes of Assignment 2 (which will have a Python code submission requirement). 6. Deductions Marks may also be deduced from each item in the marking scheme in the following cases: • The report is disorganized and/or has a poor layout. • There is an excess of abbreviations or labels that the reader may be unfamiliar with. • The report has an excessive number of grammatical or spelling mistakes. • The tables are difficult to read, for example, due to poor layout or labelling . rounded. 4 7. Late submission of the report Late submissions are subject to a deduction of 5% of the maximum mark for each calendar day after the due date. After ten calendar days late, a mark of zero will be awarded. 8. Late submission of the Confidentiality Deed Poll online form

It is a mandatory requirement of our QBUS6600 unit that all students complete the Confidentiality Deed Poll online