MongoDB

M001: MongoDB Basics (MongoDB)

Offered by MongoDB University,
M001: MongoDB Basics (MongoDB)

Learn the fundamentals of MongoDB. In this course you will learn how to set up your database and start exploring different ways to search, create, and analyze your data with MongoDB. We will cover database performance basics, and discover how to get started with creating applications and visualizing your data.

We'll start together with the ultimate basics, learning what a database is and recognizing what makes MongoDB different in the database space. Then you'll move on to working with data as you grasp the difference between BSON and JSON and start to import, export and query. Next you'll absorb how to create and manipulate documents with hands-on learning, and skill-up to mastering advanced Create Read Update Delete (CRUD) operations. By this time you'll be ready to work on Indexing, Data Modeling, and creating an Aggregation Pipeline. Lastly you'll have the opportunity to explore the Atlas UI in more detail, investigate the Charts functionality and Realm, as well as explore the use of Compass.
This course is rich in hands-on learning and additional resources to support your educational experience with MongoDB University. It has been developed and taught by a MongoDB Curriculum Engineer at MongoDB University, where we strive to free the genius within everyone by making data stunningly easy to work with.
In this course you'll get your hands on all the basics, including querying, computing, connecting to, storing, indexing and analyzing your data.

Course Details
Total Estimated Effort

  • 8.5 hours
  • Duration: 6 Chapters
  • Each chapter requires approximately 85 minutes to complete
  • Up to 60 days to complete from day of registration

Agenda

  • Chapter 1: What is MongoDB?
  • Chapter 2: Importing, Exporting, and Querying Data
  • Chapter 3: Creating and Manipulating Documents
  • Chapter 4: Advanced CRUD Operations
  • Chapter 5: Indexing and Aggregation Pipeline
  • Chapter 6: Next Steps

System Requirements
You will need access to a computer with: Operating System: Mac OS X 10.7+ 64-bit, Ubuntu 14.04+ 64-bit, or Windows 8+ (64-bit) Web Browser: Firefox 39.0+ or Chrome 43+ (Internet Explorer is currently not supported)

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

M220JS: MongoDB for Javascript Developers (MongoDB) MongoDB
MongoDB University

M220JS: MongoDB for Javascript Developers (MongoDB)

CS: Software Engineering

Learn the essentials of Node.js application development with MongoDB. This course will teach you how to use MongoDB as the database for a Node.js application. You will play the role of a back-end developer for a Node.js application, where your job is to implement the application's communication with MongoDB. Using the Node.js driver you will read and write data to the database, use the aggregation framework, manage the configuration of the database client, and create a robust application by handling exceptions and timeouts.

Self Paced
Self-Paced
MongoDB Javascript Node.js
Details
M100: MongoDB for SQL Pros (MongoDB) MongoDB
MongoDB University

M100: MongoDB for SQL Pros (MongoDB)

Computer Science

Learn how to map your relational databases knowledge to MongoDB. This course will guide you on how to draw parallels between your existing knowledge and experience with relational databases and MongoDB. The course will contrast modeling a schema and writing application code and queries for a relational database versus doing it for MongoDB.

Self Paced
Self-Paced
MongoDB Databases SQL
Details
Analyze Data to Answer Questions (Coursera) Coursera
Google

Analyze Data to Answer Questions (Coursera)

Statistics & Data Analysis Data Science

This is the fifth course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. In this course, you’ll explore the “analyze” phase of the data analysis process. You’ll take what you’ve learned to this point and apply it to your analysis to make sense of the data you’ve collected. You’ll learn how to organize and format your data using spreadsheets and SQL to help you look at and think about your data in different ways. You’ll also find out how to perform complex calculations on your data to complete business objectives.

Jun 2nd 2026
4 Weeks
Data Databases SQL
Details
Developing Applications with SQL, Databases, and Django (Coursera) Coursera
IBM

Developing Applications with SQL, Databases, and Django (Coursera)

CS: Information & Technology CS: Programming

The essentials of application development are accessing, processing, and presenting data. Data is stored in various databases, either on-premise or on the cloud, and developers will need to learn how to talk to them via programming languages. In this course, you will be introduced to some fundamental database concepts. You will learn the basics of SQL, a simple and powerful programming language for querying and managing data. And you will learn about cloud database fundamentals and get hands-on cloud database experiences.

Jun 1st 2026
5-12 Weeks
Databases SQL Object-Oriented Programming
Details
Prepare Data for Exploration (Coursera) Coursera
Google

Prepare Data for Exploration (Coursera)

Statistics & Data Analysis Data Science

This is the third course in the Google Data Analytics Certificate. These courses will equip you with the skills needed to apply to introductory-level data analyst jobs. As you continue to build on your understanding of the topics from the first two courses, you’ll also be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives and how to organize and protect your data. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.

Jun 1st 2026
5-12 Weeks
Data Analysis Databases
Details
Introduction to Blockchain for Financial Services (Coursera) Coursera
INSEAD

Introduction to Blockchain for Financial Services (Coursera)

Security & Networking

In this first course of the specialization, we will discuss the limitations of the Internet for business and economic activity, and explain how blockchain technology represents the way forward. After completing this course, you will be able to explain what blockchain is, how it works, and why it is revolutionary. You will learn key concepts such as mining, hashing, proof-of-work, public key cryptography, and the double-spend problem.

Jun 1st 2026
5-12 Weeks
Cryptography Databases Mining
Details
M320: Data Modeling (MongoDB) MongoDB
MongoDB University

M320: Data Modeling (MongoDB)

Computer Science

Learn everything you need to know about data modeling for MongoDB. After completing this course, you should have a good understanding of how to create data models for MongoDB. We will go over a few techniques, from a very simple process for simple schemas to more complex ones for large teams and large projects.

Self Paced
Self-Paced
MongoDB Data Modeling Data Models
Details
Excel Skills for Business: Intermediate II (Coursera) Coursera
Macquarie University

Excel Skills for Business: Intermediate II (Coursera)

Business

Spreadsheet software remains one of the most ubiquitous pieces of software used in workplaces across the world. Learning to confidently operate this software means adding a highly valuable asset to your employability portfolio. In this third course of our Excel specialization Excel Skills for Business you will delve deeper into some of the most powerful features Excel has to offer.

Jun 1st 2026
5-12 Weeks
Spreadsheets Excel Data Modeling
Details
M123: Getting Started with MongoDB Atlas (MongoDB) MongoDB
MongoDB University

M123: Getting Started with MongoDB Atlas (MongoDB)

Security & Networking

Atlas is MongoDB's database as a service platform. In this short course, we provide a detailed introduction to its features and give students the opportunity to create and use a variety of MongoDB clusters in Atlas. Upon completing this course, students will be able to create and configure their own clusters in Atlas, manage groups and user privileges, and read and write data to Atlas clusters from a MongoDB application. Students will also learn to use the metrics dashboard to monitor their applications, create and respond to alerts, and restore data from backup.

Not Available
Course Not Available
MongoDB Databases MongoDB Atlas
Details