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7CS512 Business Analytics Coursework 2 Assessment Brief 2026 | University of Derby

7CS512 Business Analytics CW2 Assessment Brief

Description of the Assessment

This coursework is an individual assessment that requires you to design and implement a complete business analytics solution using a real-world dataset.

You will carry out all data preparation and analytics using Python, followed by the creation of a dashboard using either Power BI or Tableau. The aim is to demonstrate your ability to generate analytical insights using different tools and to communicate those insights effectively.

The assessment reflects the full analytics lifecycle covered in the module, from data acquisition and preparation to analysis, visualisation, and interpretation of results.

Assessment Content

You are required to design and implement a business analytics solution for a real-world dataset.

Dataset Selection

You must select a real-world dataset that is suitable for business analytics.

Your chosen dataset must be approved by the module leader before you begin your analysis.

Project Deliverables and Required Structure

The following sections outline the expected components of your submission and guide how your work should be structured.

1. Problem Context and Objectives

• Description of the business context
• Definition of the problem or question being addressed
• Clear analytical objectives

2. Data Acquisition and Preparation (Python)

• Description of the dataset and data source
• Data quality issues and preparation steps
• Data cleaning, transformation, and structuring using Python

3. Analytics Techniques and Modelling (Python)

• Application of appropriate statistical and machine learning techniques
• Justification for the chosen methods
• Explanation of how the techniques address the analytical objectives

4. Visualisation and Dashboard Development

• Visualisation of results generated through statistical and machine learning analysis in Python
• Development of a dashboard using Power BI or Tableau
• Clear presentation of analytical findings

5. Critical Reflection

• Evaluation of the quality and limitations of the analytics solution
• Discussion of assumptions, constraints, and potential improvements
• Ethical, legal, or governance considerations where relevant

Technical Tool Requirements

All data preparation, analysis, and modelling must be carried out using Python.

The analysis must be implemented and presented in a Jupyter Notebook, which is the required format for this assessment.

In addition, you must create a dashboard using either Power BI or Tableau based on the results generated in Python.

The notebook must be:

• Clearly structured
• Well commented where appropriate
• Reproducible
• Easy to follow for a third party

Demonstration Requirements

You are required to provide a demonstration of your analytics solution.

The demonstration schedule will be finalised during Weeks 10 and 11.
The demonstration will take place after the final submission.

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