关于此课程： 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.
此课程适用人群： This course has been primarily designed for learners who have prior experience as a data analyst or data scientist. You should already have experience with Python and Jupyter Notebooks.
制作方： MongoDB Inc.
教学方： Nathan Leniz, Curriculum Engineer
Education
教学方： Kirby Kohlmorgen, Senior Curriculum Engineer
Education
| 级别 | Intermediate |
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
授课大纲
第 1 周
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.
15 视频, 1 阅读材料, 8 练习测试
- 视频: Welcome!
- 视频: Course Logistics and Prerequisites
- Practice Quiz: Course Logistics
- Reading: Setting Up Your Course Environment
- 视频: Aggregation Introduction
- Practice Quiz: Aggregation Introduction
- 视频: The Concept of Pipelines
- Practice Quiz: The Concept of Pipelines
- 视频: Aggregation Structure and Syntax
- Practice Quiz: Aggregation Structure and Syntax
- 视频: $match: Filtering Documents
- Practice Quiz: $match: Filtering Documents
- 视频: Using $project
- Practice Quiz: Using $project
- 视频: Using Expressions
- Practice Quiz: Using Expressions
- 视频: Cursor Like Methods Stages: Part 1
- 视频: Cursor Like Methods Stages: Part 2
- 视频: The $group Stage
- 视频: Using Accumulator Expressions
- 视频: $unwind
- 视频: The $lookup Stage
- Practice Quiz: The $lookup Stage
- 视频: $graphLookup Stage
已评分: $project and Expressions
已评分: Changing Document Shape with $project
已评分: Cursor Like Methods
已评分: $group Accumulators
已评分: $unwind and $group
已评分: $lookup
已评分: $graphLookup
第 2 周
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.
11 视频, 7 练习测试
- 视频: Intro to Week 2
- Practice Quiz: Intro to Week 2
- 视频: mongoimport
- Practice Quiz: mongoimport
- 视频: Importance of Schema
- Practice Quiz: Importance of Schema
- 视频: Exploring Schemas
- Practice Quiz: Exploring Schemas
- 视频: Migrating Your Schema
- Practice Quiz: Migrating Your Schema
- 视频: Views
- Practice Quiz: Views
- 视频: Supplementing Schemas with Accumulators
- 视频: Tree-like Data in Individual Documents (Part 1)
- 视频: Tree-like Data in Individual Documents (Part 2)
- Practice Quiz: Tree-like Data in Individual Documents
- 视频: Expressive Lookup Basics
- 视频: Entity Resolution with $lookup
已评分: Schemas and accumulators
已评分: Entity Resolution
第 3 周
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.
11 视频, 7 练习测试
- 视频: Intro to Week 3
- Practice Quiz: Intro to Week 3
- 视频: Calculation of Persons-Rho
- 视频: Intro: Associative Role Learning
- Practice Quiz: Intro: Associative Role Learning
- 视频: Principal Component Analysis (Part 1)
- 视频: Principal Component Analysis (Part 2)
- Practice Quiz: Principal Component Analysis
- 视频: Intro to Linear Regressions
- Practice Quiz: Intro to Linear Regressions
- 视频: Linear Regressions with MongoDB
- Practice Quiz: Linear Regressions with MongoDB
- 视频: Decision Trees Part 1
- 视频: Decision Trees Part 2
- 视频: Decision Trees Part 3
- Practice Quiz: Decision Trees
- 视频: Intro to Clustering Algorithms
- Practice Quiz: Intro to Clustering Algorithms
已评分: Pearsons-Rho
已评分: Associative Rules on Titanic Data Set
已评分: Linear regression on Titanic data set
已评分: Decision Trees on Titanic Data Set
已评分: K-means usage on Titanic dataset
常见问题解答
运作方式
Coursework
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制作方
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.
价格
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