The Music Matters Club is seeking to understand the listening habits of its members to enhance their music streaming service. The project involves analyzing a dataset of music streaming activity to identify trends and patterns in user behavior. The goal is to provide insights into the most popular genres, peak listening times, and user demographics. This analysis will help the club tailor its offerings to better meet the preferences of its audience. The project will require students to apply their knowledge of data analysis techniques, including data cleaning, statistical analysis, and visualization, to draw meaningful conclusions from the data. The project is designed to be completed by a team of learners from a data science or statistics program.

The deliverables for this project include a comprehensive report detailing the findings of the analysis, supported by visualizations such as charts and graphs. Additionally, a presentation summarizing the key insights and recommendations for the Music Matters Club will be required. The report should highlight trends in music preferences and suggest potential areas for service improvement.