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MongoDB Aggregation Framework
Nathan Leniz
and
Kirby Kohlmorgen
Nathan Leniz
and
Kirby Kohlmorgen
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework.
Read more
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework.
Read more
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework.
You'll begin this course by building a foundation of essential aggregation knowledge. By understanding these features of the Aggregation Framework you will learn how to ask complex questions of your data. This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with
MongoDB.
By the end of this course you'll understand how to best use MongoDB and its Aggregation Framework in your own data science workflow.
Register for this course and see more details by visiting:
OpenCourser.com/course/pf805k/mongodb
What's inside
Syllabus
The Fundamentals of MongoDB Aggregation
In this module you'll learn the fundamentals of MongoDB's Aggregation Framework. This will cover basics like filtering and sorting, as well as how to transform array data, how to group documents together, how to join data, and how to traverse graph data.
Read more
Syllabus
The Fundamentals of MongoDB Aggregation
In this module you'll learn the fundamentals of MongoDB's Aggregation Framework. This will cover basics like filtering and sorting, as well as how to transform array data, how to group documents together, how to join data, and how to traverse graph data.
Read more
Leveraging MongoDB's Flexible Schema
This module is going to be focused on the different ways you can leverage MongoDB's flexible schema. You'll learn how to migrate a relational schema, how to enhance existing schemas, and how to merge datasets via an entity resolution technique.
Machine Learning with MongoDB
This module is focused on demonstrating how MongoDB can be used in different machine learning workflows. You'll learn how to perform machine learning directly in MongoDB, how to prepare data for machine learning with MongoDB, and how to analyze data with MongoDB in preparation of doing machine learning in Python.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Explores MongoDB's powerful Aggregation Framework for data analysis
Interactive materials and practical labs enhance the learning experience
Builds a solid foundation for understanding MongoDB's schema design
Provides insights into migrating relational data into MongoDB
Integrates machine learning techniques directly within MongoDB
Leverages MongoDB's versatile schema for data integration and enrichment
Save this course
Save MongoDB Aggregation Framework to your list so you can find it easily later:
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Reviews summary
Mongodb aggregation essential course
Learners say that this course provides an in-depth overview of MongoDB pipelines with engaging assignments and a focus on advanced use cases. While the pace of the course is fast after week 2, students report that the course has given them a good level of knowledge on mongo pipelines. Some requests were made for course slides or PDFs of the presentations.
The course has received largely positive reviews.
"Fantastic Course for NoSQL Enthusiast!"
"Indeed a wonderful course for advanced learners of monogb"
"Great course! It covers the essential and advanced uses of MongoDB."
This course features engaging assignments.
"Great to achieve a good level of knowledge on mongo pipelines"
"The exercises are mostly good to understand and very instructive."
The course does not include slides or PDFs.
"One point I missed: there are no slides/pdf."
The pace of the course has mixed opinions.
"The course initially starts in a well paced manner, but week 2 onwards it is quite fast and I felt a bit difficult to follow"
"One point I missed: there are no slides/pdf. When I did the exercises and wanted to look something up from the previous lectures, I thought it was somewhat annoying to have to search through videos for the information."
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 Aggregation Framework with these
activities:
MongoDB Atlas Quickstart Tutorials
Show steps
Familiarize yourself with MongoDB Atlas, the cloud-based database service, by completing a series of guided tutorials, enhancing your understanding of cloud database management.
Browse courses on
MongoDB Atlas
Show steps
-
Follow the MongoDB Atlas Quickstart tutorials.
-
Create a MongoDB Atlas cluster.
-
Import data into your cluster.
-
Perform basic CRUD (Create, Read, Update, Delete) operations.
Review Data Modeling Concepts
Show steps
Refresh your understanding of data modeling concepts, ensuring a solid foundation for working with MongoDB's flexible schema capabilities.
Browse courses on
Data Modeling
Show steps
Review NoSQL Database Concepts
Show steps
Review the core concepts of NoSQL databases, particularly MongoDB, to enhance your understanding of the course material.
Browse courses on
NOSQL Databases
Show steps
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read MongoDB: The Definitive Guide
Show steps
Gain a comprehensive understanding of MongoDB's capabilities and best practices by reading this definitive guide.
View
MongoDB: The Definitive Guide
on Amazon
Show steps
MongoDB Resources Compilation
Show steps
Organize and compile a collection of useful MongoDB resources, including tutorials, documentation, blog posts, and community forums, creating a valuable reference guide for your learning journey.
Show steps
-
Identify and gather relevant MongoDB resources.
-
Organize the resources into categories.
-
Create a central repository for the compilation.
-
Share the compilation with the MongoDB community.
MongoDB Aggregation Framework Exercises
Show steps
Practice using the MongoDB Aggregation Framework through a series of guided exercises, reinforcing your understanding of its capabilities.
Show steps
-
Follow the provided MongoDB Aggregation Framework exercises.
-
Apply the aggregation pipeline to real-world datasets.
-
Troubleshoot any errors encountered during the exercises.
MongoDB Community Forum Participation
Show steps
Engage with the MongoDB community by participating in the MongoDB Community Forum, asking and answering questions, and sharing your knowledge, fostering collaboration and deepening your understanding of MongoDB.
Show steps
-
Join the MongoDB Community Forum.
-
Participate in discussions and ask questions.
-
Answer questions and share your knowledge.
-
Network with other MongoDB users.
Data Visualization Dashboard
Show steps
Create an interactive data visualization dashboard using the MongoDB Aggregation Framework, demonstrating your data analysis skills and understanding of data visualization principles.
Browse courses on
Data Visualization
Show steps
-
Design the dashboard layout and identify relevant data.
-
Use the MongoDB Aggregation Framework to aggregate and transform data.
-
Integrate the data into a visualization tool.
-
Customize the dashboard for interactivity and user-friendliness.
MongoDB Atlas Quickstart Tutorials
Show steps
Familiarize yourself with MongoDB Atlas, the cloud-based database service, by completing a series of guided tutorials, enhancing your understanding of cloud database management.
Browse courses on
MongoDB Atlas
Show steps
Show steps
Show steps
- Follow the MongoDB Atlas Quickstart tutorials.
- Create a MongoDB Atlas cluster.
- Import data into your cluster.
- Perform basic CRUD (Create, Read, Update, Delete) operations.
Review Data Modeling Concepts
Show steps
Refresh your understanding of data modeling concepts, ensuring a solid foundation for working with MongoDB's flexible schema capabilities.
Browse courses on
Data Modeling
Show steps
Show steps
Show steps
Review NoSQL Database Concepts
Show steps
Review the core concepts of NoSQL databases, particularly MongoDB, to enhance your understanding of the course material.
Browse courses on
NOSQL Databases
Show steps
Show steps
Show steps
Five other activities
Expand to see all activities and additional details
Show all eight activities
Read MongoDB: The Definitive Guide
Show steps
Gain a comprehensive understanding of MongoDB's capabilities and best practices by reading this definitive guide.
View
MongoDB: The Definitive Guide
on Amazon
Show steps
Show steps
Show steps
MongoDB Resources Compilation
Show steps
Organize and compile a collection of useful MongoDB resources, including tutorials, documentation, blog posts, and community forums, creating a valuable reference guide for your learning journey.
Show steps
Show steps
Show steps
- Identify and gather relevant MongoDB resources.
- Organize the resources into categories.
- Create a central repository for the compilation.
- Share the compilation with the MongoDB community.
MongoDB Aggregation Framework Exercises
Show steps
Practice using the MongoDB Aggregation Framework through a series of guided exercises, reinforcing your understanding of its capabilities.
Show steps
Show steps
Show steps
- Follow the provided MongoDB Aggregation Framework exercises.
- Apply the aggregation pipeline to real-world datasets.
- Troubleshoot any errors encountered during the exercises.
MongoDB Community Forum Participation
Show steps
Engage with the MongoDB community by participating in the MongoDB Community Forum, asking and answering questions, and sharing your knowledge, fostering collaboration and deepening your understanding of MongoDB.
Show steps
Show steps
Show steps
- Join the MongoDB Community Forum.
- Participate in discussions and ask questions.
- Answer questions and share your knowledge.
- Network with other MongoDB users.
Data Visualization Dashboard
Show steps
Create an interactive data visualization dashboard using the MongoDB Aggregation Framework, demonstrating your data analysis skills and understanding of data visualization principles.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Design the dashboard layout and identify relevant data.
- Use the MongoDB Aggregation Framework to aggregate and transform data.
- Integrate the data into a visualization tool.
- Customize the dashboard for interactivity and user-friendliness.
Career center
Learners who complete MongoDB Aggregation Framework will develop knowledge and skills
that may be useful to these careers:
Data Analyst
Data Analyst
Data Analysts are responsible for collecting, cleaning, and analyzing data to identify trends and patterns. They use this information to make recommendations to businesses on how to improve their operations. This course can help you develop the skills you need to be a successful Data Analyst by teaching you how to use MongoDB's Aggregation Framework to perform data analysis.
Data Scientist
Data Scientist
Data Scientists use data to solve business problems. They use a variety of techniques, including machine learning, to analyze data and make predictions. This course can help you develop the skills you need to be a successful Data Scientist by teaching you how to use MongoDB's Aggregation Framework to prepare data for machine learning.
Database Administrator
Database Administrator
Database Administrators are responsible for managing and maintaining databases. They ensure that databases are running smoothly and that data is secure. This course can help you develop the skills you need to be a successful Database Administrator by teaching you how to use MongoDB's Aggregation Framework to manage and analyze data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. They use a variety of programming languages and tools to create software that meets the needs of users. This course can help you develop the skills you need to be a successful Software Engineer by teaching you how to use MongoDB's Aggregation Framework to analyze data and improve the performance of software applications.
Business Analyst
Business Analyst
Business Analysts use data to identify opportunities and solve problems for businesses. They work with stakeholders to understand their needs and develop solutions that meet those needs. This course can help you develop the skills you need to be a successful Business Analyst by teaching you how to use MongoDB's Aggregation Framework to analyze data and make recommendations to businesses.
Statistician
Statistician
Statisticians use data to make inferences about the world. They use a variety of statistical techniques to analyze data and draw conclusions. This course can help you develop the skills you need to be a successful Statistician by teaching you how to use MongoDB's Aggregation Framework to analyze data and make inferences.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines. They ensure that data is flowing smoothly and that data is available to users when they need it. This course can help you develop the skills you need to be a successful Data Engineer by teaching you how to use MongoDB's Aggregation Framework to manage and analyze data.
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers design, develop, and maintain machine learning models. They use a variety of machine learning techniques to create models that can make predictions or decisions. This course can help you develop the skills you need to be a successful Machine Learning Engineer by teaching you how to use MongoDB's Aggregation Framework to prepare data for machine learning.
Data Architect
Data Architect
Data Architects design and manage data architectures. They ensure that data is organized and structured in a way that meets the needs of users. This course can help you develop the skills you need to be a successful Data Architect by teaching you how to use MongoDB's Aggregation Framework to analyze data and design data architectures.
For more career information including salaries, visit:
OpenCourser.com/course/pf805k/mongodb
Reading list
We've selected seven 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 Aggregation Framework.
Save
MongoDB in Action practical guide to MongoDB. It covers a wide range of topics, from basic CRUD operations to advanced topics like aggregation and geospatial indexing.
Comprehensive guide to Python for data analysis. It covers a wide range of topics, from data wrangling to machine learning.
Provides a concise and practical introduction to NoSQL databases, including MongoDB. It good choice for beginners who want to understand the basics of NoSQL.
Save
Practical guide to MongoDB for developers. It covers a wide range of topics, from data modeling to performance optimization.
Concise and practical guide to MongoDB, covering the essential features and concepts. It good choice for beginners who want to get up and running with MongoDB quickly.
Concise and practical introduction to data science. It covers a wide range of topics, from data wrangling to machine learning.
Data Analysis with MongoDB practical guide to using MongoDB for data analysis. It covers topics like data modeling, aggregation, and reporting.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/pf805k/mongodb
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Level
Intermediate
Via
Coursera
Institution
MongoDB Inc.
Instructors
Nathan Leniz
Kirby Kohlmorgen
Language
English
Transcripts
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Good to know
Explores MongoDB's powerful Aggregation Framework for data analysis
Interactive materials and practical labs enhance the learning experience
Builds a solid foundation for understanding MongoDB's schema design
Provides insights into migrating relational data into MongoDB
Integrates machine learning techniques directly within MongoDB
Leverages MongoDB's versatile schema for data integration and enrichment
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