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.
课程信息
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Learner Career Outcomes
50%
通过此课程获得实实在在的工作福利
Learner Career Outcomes
50%
通过此课程获得实实在在的工作福利
100% 在线
立即开始，按照自己的计划学习。
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中级
完成时间大约为21 小时
建议：8 hours/week
英语（English）
字幕：英语（English）
教学大纲 - 您将从这门课程中学到什么
完成时间为 4 小时
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.
完成时间为 4 小时
15 个视频 （总计 63 分钟）, 1 个阅读材料, 15 个测验
15 个视频
Welcome!1分钟
Course Logistics and Prerequisites2分钟
Aggregation Introduction4分钟
The Concept of Pipelines2分钟
Aggregation Structure and Syntax3分钟
$match: Filtering Documents3分钟
Using $project5分钟
Using Expressions3分钟
Cursor Like Methods Stages: Part 15分钟
Cursor Like Methods Stages: Part 25分钟
The $group Stage5分钟
Using Accumulator Expressions5分钟
$unwind4分钟
The $lookup Stage4分钟
$graphLookup Stage6分钟
1 个阅读材料
Setting Up Your Course Environment10分钟
15 个练习
Course Logistics2分钟
Aggregation Introduction2分钟
The Concept of Pipelines2分钟
Aggregation Structure and Syntax2分钟
$match: Filtering Documents2分钟
Using $project2分钟
Using Expressions2分钟
$project and Expressions30分钟
Changing Document Shape with $project20分钟
Cursor Like Methods20分钟
$group Accumulators20分钟
$unwind and $group30分钟
The $lookup Stage2分钟
$lookup20分钟
$graphLookup30分钟
完成时间为 2 小时
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.
完成时间为 2 小时
11 个视频 （总计 64 分钟）
11 个视频
mongoimport11分钟
Importance of Schema4分钟
Exploring Schemas4分钟
Migrating Your Schema6分钟
Views7分钟
Supplementing Schemas with Accumulators4分钟
Tree-like Data in Individual Documents (Part 1)4分钟
Tree-like Data in Individual Documents (Part 2)7分钟
Expressive Lookup Basics5分钟
Entity Resolution with $lookup5分钟
9 个练习
Intro to Week 22分钟
mongoimport2分钟
Importance of Schema2分钟
Exploring Schemas2分钟
Migrating Your Schema2分钟
Views2分钟
Schemas and accumulators30分钟
Tree-like Data in Individual Documents2分钟
Entity Resolution30分钟
完成时间为 3 小时
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.
完成时间为 3 小时
11 个视频 （总计 68 分钟）
11 个视频
Calculation of Persons-Rho9分钟
Intro: Associative Role Learning10分钟
Principal Component Analysis (Part 1)2分钟
Principal Component Analysis (Part 2)7分钟
Intro to Linear Regressions5分钟
Linear Regressions with MongoDB8分钟
Decision Trees Part 12分钟
Decision Trees Part 210分钟
Decision Trees Part 32分钟
Intro to Clustering Algorithms6分钟
12 个练习
Intro to Week 32分钟
Pearsons-Rho15分钟
Intro: Associative Role Learning2分钟
Associative Rules on Titanic Data Set20分钟
Principal Component Analysis2分钟
Intro to Linear Regressions2分钟
Linear Regressions with MongoDB2分钟
Linear regression on Titanic data set20分钟
Decision Trees2分钟
Decision Trees on Titanic Data Set20分钟
Intro to Clustering Algorithms2分钟
K-means usage on Titanic dataset20分钟
4.7
7 条评论来自MongoDB Aggregation Framework的热门评论
Very clear introduction to the MongoDB Aggregation Framework. Interesting and comprehensive data analysis examples as well!
关于 MongoDB Inc.
MongoDB is the leading modern, general purpose database platform, designed to unleash the power of software and data for developers and the applications they build. Headquartered in New York, MongoDB has more than 4,300 customers in over 85 countries, including more than half of the global Fortune 100. The MongoDB database platform has been downloaded over 30 million times and there have been more than 730,000 MongoDB University registrations.
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