Sales Analysis for Lapage Online Store

In this project, I've analyzed the sales performance of Lapage, a bookstore that has transitioned to e-commerce. The goal is to evaluate key sales indicators and customer behavior, providing insights for strategic decisions, such as pricing, offers, and customer targeting.

Key Skills Acquired:

Sales Data Analysis: Analyzing sales metrics, key performance indicators (KPIs), and time-series data.
Customer Behavior Analysis: Understanding online shopping patterns and comparing them to physical store behavior.
Statistical Testing: Conducting hypothesis testing and correlation analysis to identify key trends.
Data Visualization: Presenting findings through interactive visualizations to highlight sales trends and customer insights.
Bivariate Analysis: Analyzing the relationships between variables to uncover patterns in sales data.

Technologies Used:

Python: Data analysis, statistical testing, and visualization.
Pandas / NumPy: Data manipulation and processing.
Matplotlib / Seaborn: Data visualization to present trends and insights.
SciPy / Statsmodels: Performing statistical tests and hypothesis testing.
Jupyter Notebooks: Documenting the analysis and results.