Forecast E-commerce Sales

Using this e-commerce dataset from an online retailer, leverage data visualization and forecasting techniques to predict future sales. The dataset is rich, covering orders from multiple countries over a year and includes a variety of variables like invoice numbers, stock codes, quantities, and unit prices. This allows for a multi-faceted analysis that can include time-series trends, customer segmentation, and product categorization. The challenges provided encourage you to explore data anomalies like negative order quantities, visualize profits in different time frames, and compare order sizes between countries. These tasks not only help you practice essential data science skills but also mimic real-world business questions. The scenario adds another layer of complexity, asking you to categorize over 4000 unique products based on various characteristics, a task that is highly relevant in the e-commerce industry.