This repository contains the coursework for the Data Analysis module of the Executive MBA program (@SDA Bocconi in Milan) I am enrolled in. The project includes a detailed analysis of a dataset relevant to our study focus, showcasing various data analysis techniques and insights derived through the process.
Assignment.pdf: A comprehensive report detailing the findings of our analysis, conclusions, and recommendations.Boston.ipynb: Jupyter notebook containing all the code and intermediate steps taken during the data analysis process.Boston.csv: The dataset used for this analysis. Note that due to confidentiality and data privacy, some identifiers have been removed or anonymized.
The primary objectives of this project were to:
- Apply data analysis techniques learned during the course.
- Derive actionable insights that can inform business decisions.
- Develop and refine data visualization skills to effectively present data findings.
- Python: For data cleaning, manipulation, and analysis.
- Jupyter Notebook: For interactive code development and data exploration.
- Libraries: Pandas for data manipulation, Matplotlib and Seaborn for data visualization.