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URL: https://www.coursera.org/learn/pymongo-beginners

⇱ PyMongo - Beginners | Coursera


PyMongo - Beginners

PyMongo - Beginners

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Gain insight into a topic and learn the fundamentals.
4.3

16 reviews

Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

Gain insight into a topic and learn the fundamentals.
4.3

16 reviews

Intermediate level

Recommended experience

5 hours to complete
Flexible schedule
Learn at your own pace

What you'll learn

  • Describe the purpose of PyMongo and set up Python, PyCharm, MongoDB, and PyMongo for database development.

  • Construct MongoDB connections and create collections using PyMongo scripts.

  • Apply Create, Read, Update, and Delete (CRUD) operations to manage MongoDB documents with PyMongo.

  • Analyze MongoDB data using filters, projections, and query operators such as $in, $gt, $lt, and $nin.

Details to know

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Assessments

6 assignments

Taught in English

Build your subject-matter expertise

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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  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 2 modules in this course

Build a strong foundation in MongoDB database programming with Python by learning how to use the PyMongo library to perform essential database operations. This beginner-friendly course provides a practical, hands-on introduction to setting up a MongoDB development environment, connecting Python applications to databases, and working with collections using PyMongo.

You will begin by configuring Python, PyCharm, MongoDB, and PyMongo before creating database connections and collections through Python scripts. As you progress, you will implement Create, Read, Update, and Delete (CRUD) operations and explore effective data retrieval techniques using filters, projections, and query operators such as $in, $gt, $lt, and $nin to analyze MongoDB collections. Designed for beginners and aspiring Python developers, this course emphasizes step-by-step practice so you can confidently write PyMongo scripts that interact with MongoDB databases. By the end of the course, you will be able to build database connections, perform CRUD operations, retrieve data using practical query techniques, and evaluate data retrieval strategies for application development and analysis workflows. Whether you are starting your journey with MongoDB or looking to strengthen your Python database skills, this course offers a structured path to applying PyMongo in real-world database tasks.

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

6 videosβ€’Total 49 minutes
  • Introduction to Courseβ€’8 minutes
  • Introduction to Course Continueβ€’13 minutes
  • MongoDB Installationβ€’5 minutes
  • PyMongo Installationβ€’5 minutes
  • MongoDB Connectionβ€’11 minutes
  • DB-Collection Creationβ€’8 minutes
3 assignmentsβ€’Total 50 minutes
  • Course Introduction and Setupβ€’10 minutes
  • PyMongo Installationβ€’10 minutes
  • Getting Started with MongoDB and PyMongoβ€’30 minutes

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

9 videosβ€’Total 70 minutes
  • CRUD Operationsβ€’7 minutes
  • Create Dataβ€’7 minutes
  • Update Dataβ€’9 minutes
  • Delete Dataβ€’6 minutes
  • Read Dataβ€’7 minutes
  • Read Data Implementation Part 1β€’9 minutes
  • Read Data Implementation Part 2β€’9 minutes
  • Read Data Implementation Part 3β€’12 minutes
  • Conclusionβ€’5 minutes
3 assignmentsβ€’Total 50 minutes
  • Core CRUD Operationsβ€’10 minutes
  • Read Operations Deep Diveβ€’10 minutes
  • Performing CRUD Operations with PyMongoβ€’30 minutes

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Instructor

Instructor ratings
4.4 (7 ratings)
EDUCBA
1,663 Coursesβ€’338,914 learners

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Showing 3 of 16

LL
Β·

Reviewed on Sep 27, 2025

PyMongo – Beginners" is a great starting point for those new to MongoDB with Python. Clear instructions, practical examples, and solid coverage of basic operations make learning easy.

PP
Β·

Reviewed on Aug 26, 2025

Simple, efficient MongoDB library for Python; great for beginners exploring NoSQL databases.

EE
Β·

Reviewed on Sep 23, 2025

PyMongo - Beginners" provides a clear, concise introduction to MongoDB with Python, perfect for newcomers to database programming.

Frequently asked questions

To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.

Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

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