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Learn MongoDB in 2 hours

NoSql Database

4.3 Filled star Filled star Filled star Filled star Empty star
Based on 566 ratings
see reviews
Navdeep Kaur

MongoDB is one of the most popular NoSQL document oriented database written in C++.

This tutorial will help you get started quickly to use MongoDB with lots of hands-on exercises. This tutorial is intended for students and new developers who are eager to learn MongoDB Database in easy and fastest possible manner.

Read more

MongoDB is one of the most popular NoSQL document oriented database written in C++.

This tutorial will help you get started quickly to use MongoDB with lots of hands-on exercises. This tutorial is intended for students and new developers who are eager to learn MongoDB Database in easy and fastest possible manner.

This tutorial will provide you MongoDB concepts which will help you to get started with MongoDB quickly. It will starts with Mongo Introduction and then we will use MongoDB Atlas (Free cloud cluster provided by MongoDB) to setup our environment. We will continue our course by deep diving into various CRUD operations such as inserting, reading, applying filter, updating, deleting and using projections. Then we will work with various relevant operators that can be used with MongoDB on day to day basis. Then we will do a lots of hands on exercise to work with complex data types such as Array i.e performing CRUD with complex types along with projections.

I am just bootstrapping this course but next coming days , this course will get updated with more advance topics such as Working with Indexes, using Aggregation Framework, moving from shell to drivers and start using MongoDB GUI

So let's get started with this exciting course

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What's inside

Learning objectives

  • Mongodb introduction & installation
  • Mongodb crud operations
  • Mongodb operators
  • Working with arrays
  • Many more

Syllabus

Getting Started
MongoDB Introduction
MongoDB Usecase & Limitations
MongoDB Installation
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Traffic lights

Read about what's good
what should give you pause
and possible dealbreakers
Provides hands-on exercises to help new developers quickly learn MongoDB database concepts and get started with practical application
Covers CRUD operations such as inserting, reading, filtering, updating, deleting, and using projections, which are fundamental database skills
Explores various relevant operators that can be used with MongoDB on a day-to-day basis, enhancing practical skills
Uses MongoDB Atlas, a free cloud cluster provided by MongoDB, lowering the barrier to entry for students to set up their environment
Bootstraps the course with plans to update with more advanced topics such as working with indexes and using aggregation framework

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Reviews summary

Quick start to mongodb basics

According to learners, this course provides a quick and concise introduction to MongoDB, making it particularly suitable for those needing to get started fast with the NoSQL database. Many students found the sections covering CRUD operations and the practical setup using MongoDB Atlas and Compass to be clear and very helpful. The inclusion of hands-on exercises is frequently mentioned as a positive aspect that aids understanding. However, some reviewers felt the pace was too fast, especially for absolute beginners, and a notable portion pointed out the lack of in-depth coverage on more advanced topics like indexing or aggregation, indicating it serves primarily as a solid starting point rather than a comprehensive guide.
Includes helpful exercises and setup guidance.
"Good hands-on."
"The exercises helped a lot."
"Loved the Atlas setup."
"Working with MongoDB Compass was a useful practical exercise."
"Lots of hands-on exercises really helped solidify my understanding of CRUD."
Focuses well on CRUD and initial setup.
"Covered CRUD fast."
"CRUD section was very clear."
"Many found the sections on CRUD operations and setting up with MongoDB Atlas particularly clear and helpful."
"The foundational CRUD operations were explained effectively for beginners."
Rapidly introduces MongoDB fundamentals.
"Great intro! Covered CRUD fast. Exactly what I needed for a quick start."
"Perfect for my project. Needed to learn MongoDB basics fast and this delivered."
"This course is a great crash course to get started with MongoDB quickly."
"Provided a rapid overview of MongoDB fundamentals that was easy to follow."
Moves very fast, lacks deeper exploration.
"Too fast! Felt rushed."
"Super fast pace but instructor explains clearly."
"The course moves very quickly, which can be difficult if you're completely new."
"Doesn't go deep but covers the basics."
"Disappointed it didn't cover indexes or aggregation as mentioned in the description update plan."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Learn MongoDB in 2 hours | NoSql Database with these activities:
Review Basic Database Concepts
Reviewing fundamental database concepts will provide a solid foundation for understanding MongoDB's NoSQL approach and its differences from relational databases.
Browse courses on Database Management Systems
Show steps
  • Review the differences between SQL and NoSQL databases.
  • Study key database terms like schema, indexing, and querying.
Read 'MongoDB: The Definitive Guide'
Reading this book will provide a deeper understanding of MongoDB concepts and best practices, supplementing the course material.
View MongoDB on Amazon
Show steps
  • Read the chapters relevant to the course syllabus.
  • Experiment with the code examples provided in the book.
Practice CRUD Operations on Sample Datasets
Practicing CRUD operations on sample datasets will reinforce your understanding of MongoDB's query language and data manipulation techniques.
Show steps
  • Set up a local MongoDB instance or use MongoDB Atlas.
  • Import sample datasets into your MongoDB instance.
  • Perform various CRUD operations using the MongoDB shell or Compass.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Create a MongoDB Cheat Sheet
Creating a cheat sheet will help you consolidate your knowledge of MongoDB commands and syntax, making it easier to recall and apply them in the future.
Show steps
  • Compile a list of commonly used MongoDB commands and operators.
  • Organize the commands into categories based on their functionality.
  • Add brief explanations and examples for each command.
Build a Simple Web Application with MongoDB
Building a web application that interacts with MongoDB will provide practical experience in applying your knowledge to a real-world scenario.
Show steps
  • Choose a web framework (e.g., Node.js with Express) and set up your development environment.
  • Design a simple data model for your application.
  • Implement CRUD operations to interact with your MongoDB database.
  • Create a user interface to display and manipulate the data.
Explore 'Practical MongoDB'
This book offers practical insights and examples that can enhance your understanding of MongoDB's capabilities.
View Practical MongoDB on Amazon
Show steps
  • Focus on the chapters that align with your project requirements.
  • Try implementing the examples in your own environment.
Contribute to a MongoDB Open Source Project
Contributing to an open-source project will provide valuable experience in working with a large codebase and collaborating with other developers.
Show steps
  • Find a MongoDB-related open-source project on GitHub or GitLab.
  • Identify an issue or feature that you can contribute to.
  • Submit a pull request with your changes.

Career center

Learners who complete Learn MongoDB in 2 hours | NoSql Database will develop knowledge and skills that may be useful to these careers:
Database Administrator
A database administrator is responsible for maintaining and securing databases, ensuring their availability and performance. This course provides a strong foundation in MongoDB, a popular NoSQL database. Understanding how to perform CRUD operations, utilize operators, work with arrays, and manage schema and validation rules, as covered in this course, is essential for any database administrator working with MongoDB. This course helps aspiring database administrators by teaching fundamental concepts and practical skills used daily in the field.
See salaries and explore the career path for Database Administrator
Data Engineer
Data engineers build and maintain the infrastructure that allows data to be used by other teams. Data engineers often work with various types of databases, including document-oriented databases like MongoDB. This course helps aspiring data engineers by providing hands-on experience with CRUD operations, operators, and working with complex data types. Understanding concepts taught in this course such as working with arrays and applying schema is highly valuable in building robust data pipelines. This course provides a practical introduction to MongoDB that may accelerate the learning process for data engineers.
See salaries and explore the career path for Data Engineer
Full-Stack Developer
Full stack developers work on both the frontend and backend of web applications. This course helps full stack developers by teaching them how to use MongoDB to manage their application's data. The course provides an introduction to important concepts required to handle database operations such as CRUD, operators, and working with arrays. Full stack developers may find this course particularly helpful in gaining exposure to a NoSQL database without investing large amounts of time. This exposure helps the full stack developer broaden their skillset.
See salaries and explore the career path for Full-Stack Developer
Backend Developer
Backend developers build and maintain the server side of applications, often including database interactions. This course provides a practical guide to working with MongoDB, a popular choice for backend database needs. The course's focus on CRUD operations, operators, and complex data types directly aligns with the tasks that a backend developer performs daily. This course provides backend developers with the necessary knowledge to design, update, and maintain their applications. These skills are critical for any backend developer.
See salaries and explore the career path for Backend Developer
Data Analyst
Data analysts interpret data to provide insights for decision making. This course may be useful for a data analyst who needs to understand how data is structured, stored, and accessed, especially in document-oriented databases like MongoDB. While this course does not explicitly teach data analysis techniques, it provides a useful foundation by explaining CRUD operations, operators, and the use of schema and validation rules. Data analysis requires data. Understanding the structure of data is key, and this course provides an introduction to data structure within a NoSql environment.
See salaries and explore the career path for Data Analyst
System Administrator
System administrators manage computer systems and servers. A system administrator who needs to work with database systems may find MongoDB relevant. This course may be useful because it introduces the fundamental concepts of setting up and maintaining a database, including CRUD operations, operators, and the use of indexes. The practical, hands-on exercises in this course may be helpful to a system administrator interested in a basic understanding of MongoDB. This knowledge helps them better support applications.
See salaries and explore the career path for System Administrator
Cloud Engineer
Cloud engineers design and maintain cloud infrastructure on platforms such as AWS, Azure, or Google Cloud. This course may be useful for a cloud engineer who wants to work with MongoDB as a database solution in the cloud. This course helps aspiring cloud engineers by providing insights on how MongoDB manages data, performs CRUD operations, and works with operators. Cloud engineers may find this course to be a practical introduction to MongoDB particularly since it uses MongoDB Atlas, which is a cloud based solution.
See salaries and explore the career path for Cloud Engineer
Software Architect
Software architects design the overall structure of software systems. A software architect who needs to evaluate various database solutions may be interested in MongoDB. This course may be useful because it is a quick introduction to MongoDB's data model, querying using CRUD operations, and schema enforcement through validation rules. Software architects may find this course to be a quick way to evaluate MongoDB's suitability for a particular project. This course may inform the architect of the strengths and weaknesses of MongoDB.
See salaries and explore the career path for Software Architect
Solutions Architect
Solutions architects design and implement technological solutions for business problems. A solutions architect who needs to evaluate database solutions may find this course on MongoDB beneficial. This course on MongoDB may be useful because it provides an overview of MongoDB as a document-oriented database, its data model, and querying capabilities through CRUD operations. This course may inform a solutions architect of whether MongoDB would be appropriate for a particular solution. Understanding the functionality of operations helps make informed decisions.
See salaries and explore the career path for Solutions Architect
Technical Support Engineer
A technical support engineer provides technical assistance to clients or users of a product or service. This course may be useful for a technical support engineer who needs to assist users of applications and services that utilize MongoDB. This course helps support engineers by providing an introduction to MongoDB's data model, CRUD operations, and basic querying concepts and operators. Technical support may be better equipped to solve problems with a basic understanding of MongoDB. Therefore, this course may be beneficial.
See salaries and explore the career path for Technical Support Engineer
Technical Consultant
A technical consultant advises clients on how to use technology to meet their business goals. This course may be useful for a technical consultant who needs to understand various database options, including NoSQL databases like MongoDB. By taking this course, a technical consultant gains a high level understanding of MongoDB's capabilities, how data is structured, and how CRUD operations work. This course may help the technical consultant in their advisory role, particularly when a business is considering a database.
See salaries and explore the career path for Technical Consultant
Software Consultant
Software consultants advise clients on software solutions and development strategies. A software consultant who needs to understand different database technologies may find this course helpful. This course provides an introduction to MongoDB, covering topics such as CRUD operations, operators, and working with arrays. Software consultants benefit from understanding the trade-offs between different database solutions. This course provides useful context about NoSQL document databases and their suitability for any project.
See salaries and explore the career path for Software Consultant
Research Scientist
Research scientists conduct experiments and analyze data to advance scientific knowledge. This course may be useful for a research scientist who needs to manage and analyze large datasets with a NoSQL database. This course introduces the fundamental concepts of MongoDB, including CRUD operations, operators, and working with arrays. This course may be useful for research scientists who need to work with complex or schema-less data. This helps the research scientist in organizing their data.
See salaries and explore the career path for Research Scientist
Data Science Intern
Data science interns often assist with data collection, cleaning, and analysis. This course may be useful for a data science intern who needs to learn how to work with different database systems such as MongoDB. This course provides a practical introduction by focusing on CRUD operations and operators. A data science intern may find this course helpful in understanding the data they are working with. This course provides a basic understanding of database operations.
See salaries and explore the career path for Data Science Intern
Quality Assurance Engineer
Quality assurance engineers create and execute tests to ensure software quality. This course may be useful for a quality assurance engineer who needs to understand how database interactions work. This course introduces fundamental concepts such as CRUD operations, filters, and schema validation. Understanding these concepts may provide a better understanding of the software system as a whole. This foundation helps a QA engineer do their job more efficiently.
See salaries and explore the career path for Quality Assurance Engineer

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Learn MongoDB in 2 hours | NoSql Database.
Cover image
MongoDB
Save
Provides a comprehensive overview of MongoDB, covering everything from basic concepts to advanced features. It serves as an excellent reference for understanding MongoDB's architecture, data modeling techniques, and query optimization strategies. This book is commonly used by developers and database administrators working with MongoDB in production environments. It adds depth to the course by providing real-world examples and best practices.
MongoDB
Paperback
Check
MongoDB
Kindle Edition
Check
Cover image
Practical MongoDB
Save
Focuses on practical applications of MongoDB, providing hands-on examples and real-world use cases. It covers topics such as data modeling, indexing, and query optimization. This book is particularly useful for developers who want to learn how to use MongoDB effectively in their projects. It adds breadth to the course by showcasing different ways to apply MongoDB in various scenarios.
Practical MongoDB
Paperback
Check
Practical MongoDB
Kindle Edition
Check

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Course image
Rating
4.3 Filled star Filled star Filled star Filled star Empty star
Effort
1.5 total hours
Via
Udemy
Instructor
Navdeep Kaur
Language
English
Traffic lights
Read about what's good
what should give you pause
and possible dealbreakers
Provides hands-on exercises to help new developers quickly learn MongoDB database concepts and get started with practical application
Covers CRUD operations such as inserting, reading, filtering, updating, deleting, and using projections, which are fundamental database skills
Explores various relevant operators that can be used with MongoDB on a day-to-day basis, enhancing practical skills
Uses MongoDB Atlas, a free cloud cluster provided by MongoDB, lowering the barrier to entry for students to set up their environment
Bootstraps the course with plans to update with more advanced topics such as working with indexes and using aggregation framework
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