Skip to main content

Course

Introduction to MongoDB in Python

IntermediateSkill Level

4.7+

Updated 09/2025

Learn to manipulate and analyze flexibly structured data with MongoDB.

Start Course for Free

PythonData Engineering

3 hr

10 videos

32 Exercises

2,600 XP

24,010

Statement of Accomplishment

Loved by learners at thousands of companies

Training a Team?

Try for Business

Course Description

Break free from rigid database structures and discover the power of MongoDB, the document database that adapts to your data. In this hands-on course, you'll master MongoDB operations through the PyMongo library. You'll query, filter, and manipulate documents and learn how to leverage MongoDB's flexible schema while also implementing validation when structure matters. From basic CRUD operations to advanced query operators, sorting, projections, and bulk operations, you'll gain practical skills to build and maintain modern data applications. This course equips you with the essential MongoDB skills that today's data professionals need.

Prerequisites

Data Types in Python NoSQL Concepts

1

Getting Started with MongoDB

A soft landing into the world of MongoDB and its key features as a NoSQL database. Learn how MongoDB compares to relational databases, and what it offers. Connect to a MongoDB server and database and retrieve your first documents.

Introduction to MongoDB

Connecting to a MongoDB server

Querying a MongoDB Database

List databases and collections

Retrieving documents using .find()

Retrieving a specific document using .find_one()

2

Filters, operators, and query options

Learn how to have MongoDB only return exactly what you need with filters and operators. Discover how to sort records, limit the number of documents returned, and retrieve the count of matching documents for specific queries.

Query Operators

The $in operator

The $exists operator

The $and operator

The $or operator

Query options in MongoDB

Sort it out!

Count it out!

Bring it all together

3

Inserting, Updating & Deleting Records

Explore the ability to insert entirely one or multiple new records into a MongoDB collection. Learn how to update individual or multiple documents simultaneously, and replace entire documents within a database. Get experience with deleting records from a collection.

Inserting documents

Inserting a single document

Inserting multiple documents

Updating and replacing documents

Updating a single document

Updating multiple documents

Replacing an entire document

Deleting documents

Deleting a single document

Deleting multiple MongoDB documents

4

Enforcing Schema and Composing Multiple Operations

Learn how to use define and enforce structure in MongoDB documents when working with PyMongo. Explore using .bulk_write() to efficiently batch multiple write operations into a single request, improving performance while maintaining control over ordered execution and error handling.

Enforcing a schema

Schema validation with pydantic

MongoDB's built-in schema validation

Check your types

Combining MongoDB operations

Using bulk_write()

Final thoughts

Introduction to MongoDB in Python

Course
Complete

Earn Statement of Accomplishment

Add this credential to your LinkedIn profile, resume, or CV
Share it on social media and in your performance reviewEnroll Now

Don’t just take our word for it

*4.7

from 360 reviews

78%

21%

0%

0%

0%

Sort by

Jingjun (Victor)

2 days ago

Jessé

last week

Richa

last week

A great introductory course to MongoDB. The instructions and code comments need to be updated to reflect the requirements for $lte and $gte operators.

Antônio Willian

last week

Alana Maria

last week

Jesus Ulysses

last week

Jingjun (Victor)

Jessé

Antônio Willian

FAQs

What Python library is used to interact with MongoDB in this course?

You will use PyMongo, the official Python driver for MongoDB, to perform queries, filters, inserts, updates, deletions, and bulk operations.

Is this course suitable for beginners?

No. This is an advanced course with ten prerequisites covering Python, SQL, relational databases, database design, and NoSQL concepts. Strong foundational knowledge is expected.

What MongoDB operations will I learn?

You will learn full CRUD operations: querying with filters and operators, sorting, projections, inserting single and multiple documents, updating, replacing, and deleting records.

Does the course cover schema validation in MongoDB?

Yes. You will learn how to leverage MongoDB's flexible schema while also implementing validation when structure matters for your application.

How does MongoDB compare to relational databases in this course?

Chapter 1 explains MongoDB's key features as a NoSQL document database, comparing its flexible document model to the rigid structure of traditional relational databases.

Join over 19 million learners and start Introduction to MongoDB in Python today!

Grow your data skills with DataCamp for Mobile

Make progress on the go with our mobile courses and daily 5-minute coding challenges.