Course Summary
Learn how to use MongoDB's Aggregation Framework to perform data analysis and manipulation in this comprehensive course.Key Learning Points
- Understand the basics of MongoDB and the Aggregation Framework
- Learn about the different stages in the Aggregation Pipeline
- Discover how to use the Aggregation Framework to perform complex data analysis and manipulation
Job Positions & Salaries of people who have taken this course might have
- USA: $75,000 - $120,000
- India: ₹4,50,000 - ₹12,00,000
- Spain: €25,000 - €60,000
- USA: $75,000 - $120,000
- India: ₹4,50,000 - ₹12,00,000
- Spain: €25,000 - €60,000
- USA: $50,000 - $100,000
- India: ₹3,50,000 - ₹10,00,000
- Spain: €18,000 - €40,000
- USA: $75,000 - $120,000
- India: ₹4,50,000 - ₹12,00,000
- Spain: €25,000 - €60,000
- USA: $50,000 - $100,000
- India: ₹3,50,000 - ₹10,00,000
- Spain: €18,000 - €40,000
- USA: $100,000 - $150,000
- India: ₹8,00,000 - ₹20,00,000
- Spain: €40,000 - €80,000
Related Topics for further study
Learning Outcomes
- Ability to use MongoDB's Aggregation Framework for data analysis and manipulation
- Understanding of the different stages in the Aggregation Pipeline
- Ability to model data for optimal use with the Aggregation Framework
Prerequisites or good to have knowledge before taking this course
- Basic understanding of MongoDB
- Familiarity with programming concepts
Course Difficulty Level
IntermediateCourse Format
- Self-paced
- Online
Similar Courses
- MongoDB for Developers
- MongoDB for DBAs
- MongoDB Basics
Related Education Paths
Notable People in This Field
- CTO and Co-Founder of MongoDB
- Former CEO of MongoDB
Related Books
Description
This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework.
Outline
- The Fundamentals of MongoDB Aggregation
- Welcome!
- Course Logistics and Prerequisites
- Aggregation Introduction
- The Concept of Pipelines
- Aggregation Structure and Syntax
- $match: Filtering Documents
- Using $project
- Using Expressions
- Cursor Like Methods Stages: Part 1
- Cursor Like Methods Stages: Part 2
- The $group Stage
- Using Accumulator Expressions
- $unwind
- The $lookup Stage
- $graphLookup Stage
- Setting Up Your Course Environment
- Course Logistics
- Aggregation Introduction
- The Concept of Pipelines
- Aggregation Structure and Syntax
- $match: Filtering Documents
- Using $project
- Using Expressions
- $project and Expressions
- Changing Document Shape with $project
- Cursor Like Methods
- $group Accumulators
- $unwind and $group
- The $lookup Stage
- $lookup
- $graphLookup
- Leveraging MongoDB's Flexible Schema
- Intro to Week 2
- mongoimport
- Importance of Schema
- Exploring Schemas
- Migrating Your Schema
- Views
- Supplementing Schemas with Accumulators
- Tree-like Data in Individual Documents (Part 1)
- Tree-like Data in Individual Documents (Part 2)
- Expressive Lookup Basics
- Entity Resolution with $lookup
- Intro to Week 2
- mongoimport
- Importance of Schema
- Exploring Schemas
- Migrating Your Schema
- Views
- Schemas and accumulators
- Tree-like Data in Individual Documents
- Entity Resolution
- Machine Learning with MongoDB
- Intro to Week 3
- Calculation of Persons-Rho
- Intro: Associative Role Learning
- Principal Component Analysis (Part 1)
- Principal Component Analysis (Part 2)
- Intro to Linear Regressions
- Linear Regressions with MongoDB
- Decision Trees Part 1
- Decision Trees Part 2
- Decision Trees Part 3
- Intro to Clustering Algorithms
- Intro to Week 3
- Pearsons-Rho
- Intro: Associative Role Learning
- Associative Rules on Titanic Data Set
- Principal Component Analysis
- Intro to Linear Regressions
- Linear Regressions with MongoDB
- Linear regression on Titanic data set
- Decision Trees
- Decision Trees on Titanic Data Set
- Intro to Clustering Algorithms
- K-means usage on Titanic dataset
Summary of User Reviews
This MongoDB Aggregation Framework course has received positive reviews from learners who appreciate its comprehensive coverage on aggregation pipelines and real-life projects. Many users found the course to be engaging and informative.Key Aspect Users Liked About This Course
The course provides a hands-on learning experience with practical examples and exercises.Pros from User Reviews
- In-depth coverage of aggregation pipelines
- Real-life projects and use cases
- Expert instructors with clear explanations
- Hands-on learning experience with practical examples and exercises
- Flexible schedule and self-paced learning
Cons from User Reviews
- Some learners found the course to be challenging and not suitable for beginners
- Limited discussion on advanced topics
- Some exercises may require additional research and troubleshooting
- The course may not be suitable for users looking for a quick overview of MongoDB aggregation
Nathan Leniz
4.6 Raiting
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