Task details: Students will work in groups (minimum 3 and maximum 4 students in each group) on a data set identified by them They will apply analytical methods to select a data set and summarize some of the 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 be presented using Visualization models and also explained in a detailed report as explained below. Table of contents Introduction to the Data set: Explain reasons for selection of the Data Set Background information (the industry that you selected the data set from) Data Readiness (what steps did you take to select/clean/integrate data) Definition of terms Data Analysis Findings: Summary of Findings O List of Research questions (what novel findings you were looking for) . Literature review (to compare your findings) Models and Visualizations to support the findings

So we have taken the data of arsenal team 2019-2020 season from kaggle.com/database and the only part that needs to be done is an executive summary, explain reasons for selection of the data, background information. and we have use excel and rapid miner. All I need is word report on above topics