PyMongo Case Study: Bank Customer Data Aggregation

This practical, hands-on course empowers learners to apply the PyMongo library in building robust data solutions tailored to banking environments. Through a structured case study, participants will construct a modular Python-MongoDB integration that loads, segments, and analyzes real-world customer data. In Module 1, learners will set up the project environment, connect to MongoDB using PyMongo, and prepare structured logging and file ingestion mechanisms. In Module 2, they will design advanced aggregation pipelines to segment customer records based on banking logic and generate insights through data grouping, transformation, and analysis. By the end of the course, learners will have the skills to implement end-to-end data workflows in MongoDB using PyMongo—ranging from raw file loading to actionable data summarization—preparing them for real-world data engineering and analytics tasks in the financial domain

• Set up integrated development environment with Python and MongoDB
• Design advanced aggregation pipelines in MongoDB
• Analyze and segment customer data based on banking logic
• Develop effective data solutions for real-world scenarios

• Proficient in Python
• Basic MongoDB and data analysis skills
• Ideal for learners exploring data engineering in finance