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MongoDB for Beginners

Oak Academy and OAK Academy Team

Hello there,

Welcome to "MongoDB for Beginners”.

Learn NoSQL database MongoDB from scratch, create modern databases for your projects using MongoDB and Mongoose.

This course will be your gateway to learn MongoDB with a step-by-step approach. We can assure you that only this course will enough for you to learn MongoDB. Mongodb, nosql, mongoose, mongodb for beginners, mongodb, nosql database, mongo, nosql mongodb, no sql, mongodb mongoose, mongodb administration, mongodb for beginners

By the way, you do not need to know anything about this course.

Read more

Hello there,

Welcome to "MongoDB for Beginners”.

Learn NoSQL database MongoDB from scratch, create modern databases for your projects using MongoDB and Mongoose.

This course will be your gateway to learn MongoDB with a step-by-step approach. We can assure you that only this course will enough for you to learn MongoDB. Mongodb, nosql, mongoose, mongodb for beginners, mongodb, nosql database, mongo, nosql mongodb, no sql, mongodb mongoose, mongodb administration, mongodb for beginners

By the way, you do not need to know anything about this course.

MongoDB is a cross-platform document-oriented NoSQL database program. By using MongoDB, you can build a modern application database for your projects.

This course is designed to explain fundamental elements of Mongo varying from collections, validations, and common record manipulation techniques. At the end of this course, you will be able to use the popular MongooseJs library, use Mongo queries to be sure that your code is working properly, comprehend the advanced features of Mongoose to make your work faster, and create fast and responsive apps thanks to Mongo’s flexible structure.

It is important to note that if you are facing problems with Mongo DB or have not understood it well enough, this MongoDB course is what you are looking for.

MongoDB is a document-oriented data store that is easy to get started with but also scales well as your application grows. It’s schemaless nature allows greater flexibility or changing application requirements. It’s one of the best databases in terms of developer productivity.

In this course you will learn;

  • The logic behind MongoDB’s data storage

  • The most popular Object Data Modeling Library for MongoDB, Mongoose JS

  • Writing queries for creating, reading, updating, and deleting operations

  • Advanced Features of MongooseJS

  • The best testing framework for NodeJS, Mocha

  • MongoDB

  • Mongoose

  • Nosql

  • Full stack web development for database MongoDB

  • MongoDB for beginners

  • Mongo DB

MongoDB is an document-oriented database designed to allow developers to scale their applications to meet scalability demands. MongoDB features a flexible document model that allows for accelerated development productivity so that you can release better applications, faster.

No prior knowledge is needed.

What is Node.Js and what is it used for?

Node.Js is a server environment built for fast and easily scalable network applications. It was built on Chrome’s JavaScript runtime and uses an event-driven, non-blocking model that makes it the best fit for applications that run on distributed devices and need to run in real-time. By using JavaScript, node.Js can be put to work by many software developers familiar with JavaScript. Because the code is open-source, you can also use it on any platform (Mac OS, Windows, or Linux). Node.js is the architecture for creating websites and real-time applications because it’s easy for teams to learn, and it’s fast. Examples of applications that use node.Js include video conferencing apps, chat servers, eCommerce software, and collaborative online gaming.

What are the advantages of Node.Js?

Node.Js is open-source, meaning it’s a free code for all developers. On top of that, it also means that there is a thriving community of Node.Js users and programmers that all add to the knowledge base. Many are happy to share their flavor of the code with other developers, and collectively, the Node.Js environment continues to be enhanced. Because Node.Js uses JavaScript, there is a large pool of developers that understand and can code in the environment. It’s also a relatively simple environment for new team members to learn, making it an efficient choice for development teams with people that need training. Node.Js was developed on Push technology instead of web sockets, which is why it’s the preferred choice for real-time communication applications and programs that need to be highly scalable.

What does it mean that Node.Js is a runtime system?

A runtime system is a platform where a software program runs. It’s essentially an environment housing the collection of software and hardware that allows an application to execute (or run). Node.Js is a runtime system because it provides the environment necessary for applications to run within it, and no additional code or hardware is required. Because Node.Js makes use of JavaScript, it’s a runtime system that provides a framework where you can use JavaScript to create and run programs. The JavaScript programming language (which is quite popular) is then automatically translated into machine code for the hardware to run the program in real-time. It’s an efficient system, making it the preferred choice for many software and tech companies.

What is microservices architecture and how can Node.Js be used for it?

Microservices architecture is a software development style or method where single-function modules originate. Each has a very well-defined operation and interface and can deploy on its own. In essence, it’s a way of developing modules that you can repurpose from one program or application to another. When you create an application, it’s a collection of modules that have been thoroughly tested and are well-maintained. The modules are typically built around different business-specific capabilities and are then loosely coupled to other modules when deployed as part of a program. You can use Node.Js in microservices architecture as the language of choice for one, some, or all of the microservices (or modules). The beauty of microservices is that you can use the best language for the specific microservice. But where highly scalable, fast programs are needed, Node.Js would be a top contender.

Why would you want to take this course?

Our answer is simple: The quality of teaching.

When you enroll, you will feel our seasoned instructors' expertise.

Video and Audio Production Quality

All our videos are created/produced as high-quality video and audio to provide you the best learning experience.

You will be,

  • Seeing clearly

  • Hearing clearly

  • Moving through the course without distractions

You'll also get:

  • Lifetime Access to The Course

  • Fast & Friendly Support in the Q&A section

  • Udemy Certificate of Completion Ready for Download

Dive in now “MongoDB Course with All Details”.

We offer full support, answering any questions.

See you in the course.

Enroll now

What's inside

Learning objectives

  • Learn the most used, open-source document database, and nosql database aka mongodb
  • Install mongodb
  • Logic behind the mongodb data storage
  • The most popular object data modeling library for mongodb, mongoose js
  • Learn to execute crud - write queries to create, read, update and delete operations
  • Understand terminal commands for managing the database
  • Advanced features of mongoosejs
  • The best testing framework for nodejs, mocha
  • Learn how easy to use mongodb
  • Mongodb is a document-oriented data store that is easy to get started with but also scales well as your application grows.
  • It’s schemaless nature allows greater flexibility or changing application requirements. it’s one of the best databases in terms of developer productivity.
  • Mongodb is an document-oriented database designed to allow developers to scale their applications to meet scalability demands.
  • Mongodb features a flexible document model that allows for accelerated development productivity so that you can release better applications, faster.
  • Nodejs is essential to developing real-time applications in javascript, and has been instrumental in the development of websites like ebay and paypal.
  • Show more
  • Show less

Syllabus

mongodb and express js: mongoose validation; we have talked about the MongoDB operators and now we are gonna use one of them.

Read more

mongodb and react js: mongoose validation; it is really easy, in fact it may be the easiest way of validation.

nodejs, express, react js: mongoose validation; we have talked about the MongoDB operators and now we are gonna use one of them.

express js, react js: We have explored the validate sync properly and validate function just a little bit.

Mongodb, nosql, mongoose, mongodb for beginners, mongodb, nosql database, mongo, nosql mongodb, no sql, mongodb mongoose, mongodb administration, mongodb for beginners, mongodb Project, mongodb beginn

mongodb, express js, react js: we can add new type of models in our student model.NoSQL databases like mongo brings us different approach. Let's look at what I mean.

mongodb, mongo db, nosql, mongoose, mongodb for beginners, backend web development with mongodb: MongoDB is a document database, which means it stores data in JSON-like documents. We believe this is the most natural way to think about data,

MongoDB is a document-oriented database designed to allow developers to scale their applications to meet scalability demands. MongoDB features a flexible document model that allows for accelerated development productivity so that you can release better applications, faster.

Mongodb, nosql, mongoose, mongodb for beginners, mongodb, nosql database, mongo, nosql mongodb, no sql, mongodb mongoose, mongodb administration, mongodb for beginners, mongodb Project, mongodb beginner, mongodb beginners, beginner mongodb

Mongodb, mongo db, mongo, nosql, mongoose, mern stack, mern full stack, mongodb administration, mern, backend web development with mongodb: MongoDB is a document database, which means it stores data in JSON-like documents. We believe this is the most natural way to think about data,

MongoDB is a document-oriented database designed to allow developers to scale their applications to meet scalability demands. MongoDB features a flexible document model that allows for accelerated development productivity so that you can release better applications, faster.

Mongodb, mongo db, mongo, nosql, mongoose, mern stack, mern full stack, mongodb administration, mern

quiz

mongodb, express js, react js: We have a subdocument wired up to the our student model now, and we are gonna test it to see how subdocuments work with mongoose.

Mongodb, nodejs mongodb, mongodb python, mongodb administration, mongodb certification, mongodb java, nodejs mongodb Express, python mongodb

mongodb: OSX and robomongo; we learn that osx and robomongo

mongodb project: we are gonna learn the installation of MongoDB for Windows Environment.

nodejs mongodb, full stack with mongodb: We are gonna install another tool called RoboMongo for working with MongoDB.

react js, express js, mongodb: we come back to our application and want to add a new record. In this example it will be MongoDB. Well, how can we do this? Let's write a new test and see whether we succesfully add new record.

mongodb, express js and mongodb: we are gonna work with all of these operations in our first project. But before we start the project, I just wanna do the last setups.

MongoDB projects: we are gonna set up our project by doing some installation again.

MongoDB is a document-oriented data store that is easy to get started with but also scales well as your application grows. It’s schemaless nature allows greater flexibility or changing application requirements. It’s one of the best databases in terms of developer productivity.

mongodb and express: We are gonna use Mongoose library in order to modify our database and then test with Mocha to check if we did it right. Don't worry about not having an experience of using mocha so far, we will go step by step

mongodb with react full course: Mongoose is installed as a bundle to our project.

mongoose, full stack with mongodb: we re gonna proceed and concentrate on another part of mongoose. we have used mongoose for connecting our database but this time we will use it to create a new collection of data inside the database.

nosql, full stack react with mongodb: we should learn more about Mocha’s working style and we will start from scratch.

mongodb, nodejs, express js, React with redux: If Mocha sees an “it” statement calling an assert function, it will record the value returned from the assert. Now, we will write our first test by creating a student and saving into the database.

mongodb, full stack react with express and nodejs: So it is really important to be sure that we should make a cleanup every time we run our test in the test suite.As you see in the diagram, when Mocha starts, we should empty out our collection of students.
After that run the test, clean the collection of students and repeat this process.

nodejs mongodb, full stack web development with react js, express js, mongodb: Now, it’s time to make an assertion inside the it block which assures us that Jason is saved successfully. Remember that Jason dot save here inserts a new record into the database. Like other operations in Mongo, this operation also takes some time.

full stack web development, mongodb, express js: Now, it is time to find the records we created in our database. These are two different read operations. First one is kinda query and we may have more than one student with name Jason and we find all possible students.

full stack web development, React js with express js, MongoDB: ID property; Now, we will learn how to be hundred percent sure that the first student here is the student we have inserted to our database by writing an assertion.

Mongodb and express: We will use the tool “nodemon” to rerun our projects automatically whenever we make a change inside of it.

react js mongodb, express js: it is time to add findOne query inside of an "it" block. I don't want this to run this time so I make it a comment.

Mongodb and express: In this video I am gonna explain the deleting methods of Mongoose. I said methods because there are more than one way of it.

mern stack projects with mongo db, nodejs, express js, react js: we have completed the removing part of the CRUD operations, so we can continue the next step which updates the saved datas. This part will be little bit more complicated but will also be more informative about how Mongoose and MongoDB work,

full stack web development with react js and express js: I wanna explain the update One method, but before I wanna add one property to my schema. Come to the student dot js file and add The student Number property as a number. and flip back to the update file.

mongodb, nosql, mongoose, react js: The things we have learned so far was kind a basic and now it’s time to continue with more complex uses of these class based update operations.

mongodb for beginners, react js, express js: $mul operator, we have talked about the MongoDB operators and now we are gonna use one of them.

fullstack javascript with redux, mongodb, express js:  it is time to remove the records from embedded document.

express js and react js: virtual type refers to the properties that we don't persist to our database.

react redux: by writing virtual I tell the mongoose that there is a virtual property, virtual field here.

react with redux, express js, nodejs: we will talk about how to design Mongodb databases.

react with react js and express js: we will learn this lesson using ref with associations

mern with mongodb: we are creating a new file inside our test directory with the name of the association test in order to do our association test.

react js with express, mongodb: promise all. we have set the relations between the student, articleBlog, and comment.

full stack react js with redux, node.js express.js, mongodb:

we have the ability to use modifiers here like that and we use modifiers generally to make the query more specific or broader etc.

mongodb: nested populate, mongoose populate multiple levels mongodb ... Define a commentSchema with a field from is User's _id, and a nested field reply each item is a document

Mongodb, nosql, mongoose, mongodb for beginners, mongodb, nosql database, mongo, nosql mongodb, no sql, mongodb mongoose, mongodb administration, mongodb for beginners:

MongoDB is a document-oriented data store that is easy to get started with but also scales well as your application grows. It’s schemaless nature allows greater flexibility or changing application requirements. It’s one of the best databases in terms of developer productivity.

Extra

Mongodb, mongo db, mongo, nosql, mongoose, mern stack, mern full stack, mongodb administration, mern

MongoDB is an document-oriented database designed to allow developers to scale their applications to meet scalability demands. MongoDB features a flexible document model that allows for accelerated development productivity so that you can release better applications, faster.

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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 MongoDB for Beginners with these activities:
Review NoSQL Database Concepts
Solidify your understanding of NoSQL database principles before diving into MongoDB.
Browse courses on NOSQL Databases
Show steps
  • Read articles comparing SQL and NoSQL databases.
  • Summarize the key advantages of NoSQL.
  • Identify use cases where NoSQL is preferred.
Review 'MongoDB: The Definitive Guide'
Gain a deeper understanding of MongoDB concepts and best practices.
View MongoDB on Amazon
Show steps
  • Read the chapters on data modeling and indexing.
  • Experiment with the examples provided in the book.
  • Take notes on key concepts and techniques.
Practice CRUD Operations
Reinforce your understanding of CRUD operations by completing practice exercises.
Show steps
  • Set up a local MongoDB instance.
  • Create a sample database and collection.
  • Implement create, read, update, and delete operations.
  • Test your code thoroughly.
Four other activities
Expand to see all activities and additional details
Show all seven activities
Review 'Node.js Design Patterns'
Learn best practices for building scalable Node.js applications.
View Node.js Design Patterns - Third edition: Design... on Amazon
Show steps
  • Read the chapters on asynchronous programming and modularity.
  • Identify patterns that can be applied to your MongoDB projects.
  • Experiment with implementing these patterns in your code.
Build a Simple To-Do List API
Apply your MongoDB knowledge by building a practical application.
Show steps
  • Design the API endpoints.
  • Implement the API using Node.js and Express.
  • Connect to a MongoDB database.
  • Implement CRUD operations for to-do items.
  • Test the API thoroughly.
Write a Blog Post on MongoDB Schema Design
Deepen your understanding of schema design by explaining it to others.
Show steps
  • Research different schema design patterns.
  • Choose a specific pattern to focus on.
  • Write a clear and concise explanation of the pattern.
  • Include examples and diagrams.
  • Publish your blog post online.
Contribute to a MongoDB Open Source Project
Gain real-world experience by contributing to an open-source project.
Show steps
  • Find a MongoDB-related open-source project on GitHub.
  • Review the project's documentation and contribution guidelines.
  • Identify a bug or feature to work on.
  • Submit a pull request with your changes.

Career center

Learners who complete MongoDB for Beginners will develop knowledge and skills that may be useful to these careers:
Full-Stack Developer
A Full Stack Developer works with both the front-end and back-end of an application, handling everything from the user interface to the database. This role requires a broad skillset, including an understanding of database technologies. This course focuses on MongoDB, a very common NoSQL database, and how to use it with Node.js, a popular backend framework. The course teaches the logic behind data storage and how to use Mongoose, an Object Data Modeling library, to interact with MongoDB. It also covers how to write queries for data manipulation and how to test database interactions, which provide a full-stack developer with essential skills for building database-driven applications. This course is specifically useful as it gives developers the tools necessary to architect and build applications.
See salaries and explore the career path for Full-Stack Developer
Backend Developer
A Backend Developer creates the server-side logic, databases, and APIs that power applications. This role is key to any software application and requires a deep understanding of data storage and retrieval. This course introduces developers to MongoDB, a NoSQL database, and how it is used to build modern application databases. The course covers the logic behind MongoDB's data storage, and also goes into popular libraries such as Mongoose. With this knowledge, a backend developer can learn to design and implement robust data layers for their applications. Moreover, this course teaches practical skills such as writing queries for creating, reading, updating, and deleting operations. It also goes into testing frameworks like Mocha, making this course highly useful for a Backend Developer.
See salaries and explore the career path for Backend Developer
Software Engineer
A Software Engineer develops and maintains software systems, often involving complex database interactions. This role requires a deep understanding of data storage, retrieval, and manipulation. This course on MongoDB for beginners introduces the fundamentals of MongoDB, a NoSQL database that is very common for applications. It is a valuable resource for a software engineer because it explains the logic behind data storage and provides a step-by-step approach to learning MongoDB. The course teaches how to use Mongoose, write queries effectively and test database interactions. Additionally, the flexible model of MongoDB, as described in this course, helps software engineers to develop and release applications faster.
See salaries and explore the career path for Software Engineer
Application Developer
An Application Developer focuses on creating applications for various purposes, often involving databases. This course introduces MongoDB, a very common database, and its integration with Node.js. This role requires an understanding of data storage and retrieval, which is explained in this course. This course is a helpful resource for an application developer because it introduces the logic behind MongoDB’s data storage and teaches a step-by-step approach to utilizing it in applications. The course will also teach how to write queries for creating, reading, updating, and deleting operations. The hands-on experience with database management taught in this course is very useful for application developers.
See salaries and explore the career path for Application Developer
Database Administrator
A Database Administrator is responsible for the performance, integrity, and security of a database. This role involves tasks such as installation, configuration, maintenance, and troubleshooting. This course provides a comprehensive introduction to MongoDB, a popular NoSQL database, and helps build a foundation in crucial database concepts. Specifically, this course teaches how to work with MongoDB collections, validations, and common record manipulation techniques, which are essential for database administration. The course covers the Mongoose library, which helps with database interactions and simplifies development. It also teaches querying, a core skill for any database administrator. By providing hands-on experience with database management using Mongoose, this course is also a great resource for aspiring Database Administrators.
See salaries and explore the career path for Database Administrator
Web Developer
A Web Developer builds and maintains websites, which often requires understanding of database interactions. This course focuses on MongoDB, a NoSQL database used in many web applications, and introduces how to use Mongoose to manage this database. A web developer should understand how data is stored and retrieved, and should benefit from this course. The course goes into detail concerning how to interact with a MongoDB, including how to write queries, and how to test data manipulation. It also introduces the best testing framework for Node.js, Mocha. For a web developer looking to expand their skill set and work with modern databases, this course is a useful resource.
See salaries and explore the career path for Web Developer
Database Developer
A Database Developer designs, builds, and implements database systems often working closely with software developers to integrate databases into applications. This role demands a deep understanding of database concepts and technologies. The course introduces MongoDB, a popular NoSQL database, teaching how to use it for modern application development. It teaches the fundamentals of data storage with MongoDB and the use of Mongoose to manage interactions with a database. This course may be useful in learning how to write queries, perform validations, and use common record manipulation techniques within the context of Mongo databases. It is a great introduction to database development with MongoDB.
See salaries and explore the career path for Database Developer
Data Engineer
A Data Engineer designs, builds, and maintains systems for storing and processing data. This role requires a solid understanding of database technologies, including both relational and NoSQL databases. This course introduces the fundamentals of MongoDB, a document-oriented NoSQL database. The flexible document model of MongoDB, which allows for accelerated development, is described in this course. A data engineer will find it beneficial to learn how MongoDB stores data, how to use Mongoose, and how to write queries to create, read, update, and delete operations. This course may be useful for those looking to work with modern data storage solutions.
See salaries and explore the career path for Data Engineer
Software Architect
A Software Architect designs the high-level structure of software systems, including database solutions. This role requires a broad understanding of different technologies and architectural patterns. This course introduces the fundamentals of MongoDB, a popular choice for modern applications. This course may be useful to a software architect who needs a high-level understanding of NoSQL databases. It will provide a perspective on how to design efficient and scalable database systems. By discussing the flexible document model and the Mongoose library, as done by the course, an architect will understand how MongoDB fits into modern software architectures.
See salaries and explore the career path for Software Architect
Technical Lead
A Technical Lead is responsible for guiding technical teams and ensuring the correct implementation of software projects. This role requires a broad technical understanding, including databases. This course provides an introduction to MongoDB, a NoSQL database, that may provide insight into the design and management of such database systems. This course covers the logic behind data storage, and the use of Mongoose, which may be useful to a technical lead. Also the course covers writing queries to create, read, update, and delete operations, which may help an understanding of the fundamental operations and logic of database interactions. This course may be useful in helping a technical lead understand how MongoDB fits into a larger software project.
See salaries and explore the career path for Technical Lead
Solutions Architect
A Solutions Architect designs and oversees the implementation of complex software solutions, often including the architecture of data systems. This role requires a broad understanding of various technologies, including databases. This course provides an introduction to MongoDB, a popular NoSQL database. The course provides a basic understanding of the fundamental elements of Mongo, and could be beneficial for a solutions architect. This course will give a high level understanding of how Mongoose interacts with MongoDB and could be helpful when making decisions about how to architect data systems.
See salaries and explore the career path for Solutions Architect
DevOps Engineer
A DevOps Engineer works to bridge the gap between software development and operations, focusing on automation and efficiency. This role requires a broad understanding of databases and how they integrate within applications. This course provides an introduction to MongoDB, a commonly used NoSQL database in modern applications. DevOps engineers may find this course helpful because it teaches how to work with MongoDB using Mongoose and provides a conceptual overview of the database structure. Specifically, understanding the logic behind MongoDB’s data storage, as described in this course, may be helpful. The introduction to testing database interactions may also be a useful skill for DevOps engineers.
See salaries and explore the career path for DevOps Engineer
Data Analyst
A Data Analyst interprets data and provides insights to inform business decisions, often using database queries to retrieve information. While this course is focused on database management rather than data analysis, understanding the structure of MongoDB may help an analyst interact with such a database. A data analyst might find it useful to understand the logic behind MongoDB data storage, as described in this course. Also, the information concerning how to write queries, while focused on database operations, may be helpful. Although this course does not directly teach data analysis, its coverage of MongoDB may be helpful for any data analyst needing to work with NoSQL databases.
See salaries and explore the career path for Data Analyst
Cloud Engineer
A Cloud Engineer is responsible for designing, implementing, and managing cloud-based infrastructure and services. This role requires an understanding of various technologies including databases. This course introduces the fundamentals of MongoDB, a NoSQL database that can be deployed in the cloud. This course may be helpful to a Cloud Engineer due to the practical knowledge of how to utilize MongoDB. Also, the explanations of how MongoDB scales to meet application demands might provide an understanding of how databases work within the cloud environment. By understanding MongoDB, a cloud engineer may improve their ability to manage and maintain database deployments in the cloud.
See salaries and explore the career path for Cloud Engineer
System Administrator
A System Administrator manages and maintains computer systems, including databases. This requires some level of understanding of how databases function and how to troubleshoot issues. Though it is not a primary focus, a system administrator may find this course helpful in understanding how MongoDB works. The course provides instruction in the installation of MongoDB, which may be a useful skill. Also, this course's explanation of the logic behind data storage, validations, and common record manipulation techniques, might provide a system administrator with a better understanding of database management. This course may help with diagnosing problems related to Mongo databases.
See salaries and explore the career path for System Administrator

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 MongoDB for Beginners.
Cover image
MongoDB
Save
Provides a comprehensive overview of MongoDB, covering everything from basic concepts to advanced features. It serves as a valuable reference throughout the course and beyond. It is commonly used by industry professionals. The book offers more depth on topics such as schema design, indexing, and aggregation.
MongoDB
Paperback
Check
MongoDB
Kindle Edition
Check
Cover image
Node.js Design Patterns
Save
Explores various design patterns applicable to Node.js development, which is relevant since the course mentions Node.js. It provides insights into building scalable and maintainable applications. While not directly focused on MongoDB, it complements the course by enhancing your overall backend development skills. This book is more valuable as additional reading.
Node.js Design Patterns - Third edition: Design and...
Paperback
$$
Node.js Design Patterns - Second Edition: Master...
Kindle Edition
$$

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Effort
4 total hours
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Udemy
Instructors
Oak Academy
OAK Academy Team
Language
English
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