Predicting Retail Sales with Data Analytics

Predictive analytics is crucial for retail companies as it enables them to optimize sales and inventory management, helping to meet customer demand, minimize excess stock, and maximize profits. In this Build Project, you'll wear the hat of a Business Intelligence Analyst at an imaginary retail company and develop a strategy to manage retail inventory and pricing for different seasons. Under the supervision of an experienced industry expert, you'll develop prediction models based on historical datasets and deliver a strategy plan to improve sales in stores. You'll become familiar with Statistical Analysis and Data Science tools like Python and Jupyter Notebook. All this will happen in an environment that simulates the operations of a real Business Intelligence team, supporting a business with insights about their industry so that they can make data-driven decisions.