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Learning path

NoSQL with MongoDB

Documents and data modelling, CRUD with PyMongo, indexes and aggregation pipelines, with animated films and runnable Python. Part of the Data Scientist premium track.

Start with lesson 1
  1. 1

    NoSQL and MongoDB: Documents, Collections and JSON

    What NoSQL means, how MongoDB stores JSON-like documents in collections, when to choose it over SQL, ObjectIds, embedding vs referencing, and designing a schema.

    3 min read
  2. 2

    CRUD and Queries with PyMongo

    Insert, find, update and delete MongoDB documents from Python with PyMongo, using filters, operators like $gt and $in, projections, sorting and indexes.

    3 min read
  3. 3

    The MongoDB Aggregation Pipeline

    Analyse data inside MongoDB with the aggregation pipeline: $match, $unwind, $group, $sort, $project and $lookup, with the same analysis reproduced in pandas so you can run it.

    3 min read