This beginner-friendly course is designed to equip learners with the foundational skills needed to work with MongoDB databases using the PyMongo library in Python. Through a structured and hands-on approach, learners will explore core database concepts and gain the ability to apply Create, Read, Update, and Delete (CRUD) operations on real-world data collections.
PyMongo - Beginners
PyMongo - Beginners
This course is part of Python NoSQL Data Engineering with MongoDB Specialization
Instructor: EDUCBA
Included with 
Gain insight into a topic and learn the fundamentals.
Intermediate level
Recommended experience
3 hours to complete
3 weeks at 1 hour a week
Flexible schedule
Learn at your own pace
Skills you'll gain
Details to know
Shareable certificate
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Recently updated!
July 2025
Assessments
6 assignments
Taught in English
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This course is part of the Python NoSQL Data Engineering with MongoDB Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There are 2 modules in this course
This module introduces learners to the foundational concepts of PyMongo and MongoDB. It covers the necessary environment setup including Python, PyCharm, MongoDB, and PyMongo installation. Learners will explore how to initiate connections to a MongoDB database using PyMongo and understand the basic structure and visibility conditions of databases and collections in MongoDB. The module provides a step-by-step, hands-on walkthrough tailored for absolute beginners.
What's included
6 videos3 assignments
This module guides learners through the complete implementation of CRUD operations (Create, Read, Update, Delete) using PyMongo in a MongoDB environment. The module begins with an overview of CRUD functionality and progresses to detailed hands-on demonstrations for each operation. Learners will write scripts for creating and modifying documents, deleting data, and retrieving documents using filters and comparison operators. Special emphasis is given to read operations, showcasing practical query techniques including projections, conditionals, and advanced filtering. The module concludes with a recap of the concepts and practices covered throughout the course.
What's included
9 videos3 assignments
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