Purpose: The purpose of this assessment is that students will learn different Analytics techniques by searching for data sets and then analyzing these data sets using different tools and also by listening to presentations made by their peers. This assessment contributes to learning outcomes a, b, d. Value: Total 25% (Presentation 10%, Report 15%) Due Date: Weeks 10-11 Assessment topic: Students to select a data source and suggest a topic of analysis for that data source. Task details: Students will work in groups (minimum 3 and maximum 4 students in each group) on data set identified by them and approved by their tutor. They will apply analytical methods to select a data set and summarize some of target models in Descriptive and Predictive Analytic layers to get it approved for their project. They will then use any analytical tools (e.g. Excel, Tableau, Rapid Miner) to extract their findings and draw insights from this data set. The outcomes need to presented using Visualization models and also explained in a detailed report as explained below. Submission of group report will be due in Week 11. This will be 2,000 words report excluding references and an executive summary. It should consist of the following structure: Title Page (Student's name and ID, Tutor's name) Executive Summary Table of contents Introduction (usually includes below section to explain the Data Set and its background): Brief background information Purpose Scope Definition of terms Data Analysis Findings (could consist of): Review of literature related to similar data sets Summary of Groups Findings Discussion about findings including any models and Visualizations to support the findings Conclusion/recommendations (Response to Feedback and also any other suggestions to provide improvements in data set or findings)