retail_sales_forecast

• This dataset contains weekly sales from 99 departments belonging to 45 different stores.
• Our aim is to forecast weekly sales from a particular department.
• The objective of this case study is to forecast weekly retail store sales based on historical data.
• The data contains holidays and promotional markdowns offered by various stores and several departments throughout the year.
• Markdowns are crucial to promote sales especially before key events such as Super Bowl, Christmas and Thanksgiving.
• Developing accurate model will enable make informed decisions and make recommendations to improve business processes in the future.
• The data consists of three sheets:
• Stores
• Features
• Sales Data Source : https://www.kaggle.com/manjeetsingh/retaildataset