Data Analysis on House Pricing Data Using MongoDB Aggregation Pipelines

Overview

This course on Data Analysis using MongoDB Aggregation Pipelines aims to teach learners how to perform data analysis on house pricing data. The course covers creating a free atlas cluster, different ways to perform aggregation in MongoDB, operations and stages in the aggregation pipeline, and various aggregation operations like match, group, and sort. The course teaches the skills of using MongoDB, Python, and pymongoarrow for data analysis. The teaching method involves practical demonstrations and coding examples. This course is intended for individuals interested in learning data analysis techniques using MongoDB and Python.

Syllabus

- Introduction
- Agenda
- Sponsor Message
- Why aggregation pipelines are used?
- Starting with code
- Different ways to perform aggregation in MongoDB
- Creating a new database
- Operations in the aggregation pipeline
- Stages in the aggregation pipeline
- match operation
- group operation
- sort operation
- Creating JSON file
- pymongoarrow
- Final Note