Data Analysis and Map-Reduce with MongoDB and PyMongo

This course teaches learners how to perform data analysis and map-reduce operations using MongoDB and pymongo. By utilizing the MongoDB aggregation framework and data-aggregation pipelines, students will be able to calculate aggregated values, such as averages and totals, without the complexity of map-reduce. The course covers working with documents, sub-documents, grouping by time periods, and reshaping data. Through live examples and hands-on practice with pymongo, students will learn to efficiently analyze and manipulate data with minimal code. The course is designed for individuals interested in data analysis, MongoDB, and pymongo.