MongoDB

M121: The MongoDB Aggregation Framework (MongoDB)

Offered by MongoDB University,
M121: The MongoDB Aggregation Framework (MongoDB)

Learn how to use MongoDB's Aggregation Framework. This course will provide you with the knowledge to use MongoDB Aggregation Framework with confidence on your application development practices. You’ll build an understanding about how to use MongoDB Aggregation Framework pipeline, document transformation and data analysis. We will look into the internals of the Aggregation Framework alongside with optimization and pipeline building practices.

Prerequisites:
We highly recommend taking M001 or M220P or 3-6 months experience using MongoDB in application development.

Course Details
Total Estimated Effort

  • 8.5 Hours
  • Duration: 8 Chapters
  • Each chapter requires approximately 61 minutes to complete
  • Up to 60 days to complete from day of registration

Agenda

  • Chapter 0: Introduction and Aggregation Concepts
  • Chapter 1: Basic Aggregation - $match and $project
  • Chapter 2: Basic Aggregation - Utility Stages
  • Chapter 3: Core Aggregation - Combining Information
  • Chapter 4: Core Aggregation - Multidimensional Grouping
  • Chapter 5: Miscellaneous Aggregation
  • Chapter 6: Aggregation Performance and Pipeline Optimization
  • Final Exam

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

Assessing Health Program Delivery (Coursera) Coursera
Johns Hopkins University

Assessing Health Program Delivery (Coursera)

Health & Society

This course provides in-depth knowledge about implementation strength, quality of care, and service utilization, which are essential components of health program delivery. This course is primarily aimed at implementers, managers, funders, and evaluators of health programs in low- and middle-income settings (LMISs) targeting women and children, and undergraduate and graduate students in health-related fields.

Sep 21st 2026
5-12 Weeks
Health Data Analysis Quality Control
Details
Data Visualization for Genome Biology (Coursera) Coursera
University of Toronto

Data Visualization for Genome Biology (Coursera)

Statistics & Data Analysis Data Science

The past decade has seen a vast increase in the amount of data available to biologists, driven by the dramatic decrease in cost and concomitant rise in throughput of various next-generation sequencing technologies, such that a project unimaginable 10 years ago was recently proposed, the Earth BioGenomes Project, which aims to sequence the genomes of all eukaryotic species on the planet within the next 10 years. So while data are no longer limiting, accessing and interpreting those data has become a bottleneck. One important aspect of interpreting data is data visualization. This course introduces theoretical topics in data visualization through mini-lectures, and applied aspects in the form of hands-on labs.

Sep 21st 2026
5-12 Weeks
Biology Genome Data Analysis
Details
M220N: MongoDB for .NET Developers (MongoDB) MongoDB
MongoDB University

M220N: MongoDB for .NET Developers (MongoDB)

CS: Programming Computer Science

Learn the essentials of ASP.NET application development with MongoDB. This course will teach you how to use MongoDB as the database for an ASP.NET application. You will play the role of a back-end developer for an ASP.NET application, where your job is to implement the application's communication with MongoDB. Using the C# 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 .NET Framework ASP.NET
Details
Process Mining: Data science in Action (Coursera) Coursera
Eindhoven University of Technology

Process Mining: Data science in Action (Coursera)

Statistics & Data Analysis Data Science

Process mining is the missing link between model-based process analysis and data-oriented analysis techniques. Through concrete data sets and easy to use software the course provides data science knowledge that can be applied directly to analyze and improve processes in a variety of domains. Data science is the profession of the future, because organizations that are unable to use (big) data in a smart way will not survive. It is not sufficient to focus on data storage and data analysis. The data scientist also needs to relate data to process analysis.

Sep 21st 2026
5-12 Weeks
Business Data Mining Data Analysis
Details
Talend Data Integration Certification Preparation training (Coursera) Coursera
Talend

Talend Data Integration Certification Preparation training (Coursera)

CS: Information & Technology

Talend certification exams measure candidates’ skills to ensure that they have the knowledge to successfully implement quality projects. It is recommended to have at least 6 months experience using Talend products and general knowledge of data integration architecture and advanced features before preparing for a Talend certification.

Sep 21st 2026
3 Weeks
Data Integration Data Manipulation Data Migration
Details
Doing Economics: Measuring Climate Change (Coursera) Coursera
University of London,University College London,CORE

Doing Economics: Measuring Climate Change (Coursera)

Statistics & Data Analysis Data Science

This course will give you practical experience in working with real-world data, with applications to important policy issues in today’s society. Each week, you will learn specific data handling skills in Excel and use these techniques to analyse climate change data, with appropriate readings to provide background information on the data you are working with. You will also learn about the consequences of climate change and how governments can address this issue.

Sep 21st 2026
4 Weeks
Economics Climate Change Data Analysis
Details
Serverless Data Processing with Dataflow: Develop Pipelines (Coursera) Coursera
Google Cloud

Serverless Data Processing with Dataflow: Develop Pipelines (Coursera)

Statistics & Data Analysis Data Science

In this second installment of the Dataflow course series, we are going to be diving deeper on developing pipelines using the Beam SDK. We start with a review of Apache Beam concepts. Next, we discuss processing streaming data using windows, watermarks and triggers. We then cover options for sources and sinks in your pipelines, schemas to express your structured data, and how to do stateful transformations using State and Timer APIs.

Sep 21st 2026
3 Weeks
SQL Schema Data Processing
Details
Data Processing with Azure (Coursera) Coursera
LearnQuest

Data Processing with Azure (Coursera)

CS: Information & Technology

This Azure training course is designed to equip students with the knowledge need to process, store and analyze data for making informed business decisions. Through this Azure course, the student will understand what big data is along with the importance of big data analytics, which will improve the students mathematical and programming skills. Students will learn the most effective method of using essential analytical tools such as Python, R, and Apache Spark.

Sep 21st 2026
3 Weeks
Big Data Data Analysis Microsoft Azure
Details
Analysis and Interpretation of Large-Scale Programs (Coursera) Coursera
Johns Hopkins University

Analysis and Interpretation of Large-Scale Programs (Coursera)

Health & Society

This course is for implementers, managers, funders, and evaluators of health programs targeting women and children in low- and middle-income countries as well as undergraduate and graduate students in health-related fields. Course participants will learn how to 1) transform quantitative components of an evaluation measurement plan into a sound analysis plan to address the evaluation questions, 2) conduct quantitative analyses of primary or secondary surveys or other available data, 3) interpret the meaning of the analysis results and their implications, and 4) disseminate the evaluation findings to program implementers, local and global stakeholders.

Sep 21st 2026
5-12 Weeks
Analysis Data Analysis Evaluation
Details
Combining and Analyzing Complex Data (Coursera) Coursera
University of Maryland, College Park

Combining and Analyzing Complex Data (Coursera)

Statistics & Data Analysis

In this course you will learn how to use survey weights to estimate descriptive statistics, like means and totals, and more complicated quantities like model parameters for linear and logistic regressions. Software capabilities will be covered with R® receiving particular emphasis. The course will also cover the basics of record linkage and statistical matching—both of which are becoming more important as ways of combining data from different sources. Combining of datasets raises ethical issues which the course reviews. Informed consent may have to be obtained from persons to allow their data to be linked. You will learn about differences in the legal requirements in different countries.

Sep 21st 2026
4 Weeks
Ethics Models Data Analysis
Details