Getting Started with Retail Data Analytics
Dive into a comprehensive 2-hour tutorial on Retail Data Analytics using real-world Walmart store data. Learn to develop geo-traceable consumer profiles, including family details, vehicle information, and credit card data for over 4,500 Walmart locations. Create purchase histories spanning three years for each customer and construct a retail data analytics dashboard featuring consumer and store maps. Master complex applications of Python libraries such as Pandas, Matplotlib, Faker, NumPy, and datetime, with a focus on advanced Plotly mapping techniques for multi-layered visualizations. Explore potential project extensions using Streamlit, Dask, and H2O Wave, and discover how to build full-stack applications with Python, Java Quarkus, React, and Next.js using the generated dataset.