A data science project to predict rossman daily sales for up to six weeks in advance
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Updated
Nov 10, 2020 - Jupyter Notebook
A data science project to predict rossman daily sales for up to six weeks in advance
Una tienda online de moda, con presencia en todo Brasil, necesita impulsar su rendimiento utilizando sus datos de manera estratégica. Como científico de datos, has sido convocado para analizar estos datos y ofrecer insights que guíen sus decisiones y respondan sus preguntas clave
Predicting unit sales for Corporation Favorita
The "Store Sales Database" project analyzes 100K sales entries, leveraging Python, SQL, and Power BI to manage, analyze, and visualize store performance. It provides insights into sales trends, regional performance, and customer behavior through real-time analytics, detailed reporting, and dynamic dashboards to support data-driven decisions.
This Power BI dashboard provides a high-level overview of Walmart’s sales performance across different time periods and store locations. It helps executives and analysts track overall revenue trends and identify key patterns in sales data.
Разведочный анализ данных с продажами в магазинах Эквадора.
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