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所在平台: Coursera |
课程主页: https://www.coursera.org/learn/mongodb-aggregation-framework
课程评论：没有评论
课程名称：MongoDB 聚合框架 课程概述：本课程将教您如何使用 MongoDB 强大的聚合框架进行数据分析。课程开始时，您将建立基础的聚合知识，通过理解聚合框架的特性，您将学习如何对数据进行复杂查询。这为后续课程奠定基础，接下来您将深入学习模式设计、关系数据迁移以及使用 MongoDB 进行机器学习。 完成本课程后，您将理解如何在自己的数据科学工作流程中最好地使用 MongoDB 及其聚合框架。 课程大纲： 1. **MongoDB 聚合基础** - 描述：在本模块中，您将学习 MongoDB 聚合框架的基本知识。包括过滤、排序、如何转换数组数据、如何将文档分组、如何连接数据及如何遍历图数据等基础内容。 2. **利用 MongoDB 灵活的模式** - 描述：本模块将专注于如何利用 MongoDB 灵活的模式。您将学习如何迁移关系模式、如何增强现有模式以及如何通过实体解析技术合并数据集。 3. **使用 MongoDB 的机器学习** - 描述：本模块专注于展示如何在不同的机器学习工作流程中使用 MongoDB。您将学习如何直接在 MongoDB 中进行机器学习，如何为机器学习准备数据，以及如何分析数据以便在 Python 中进行机器学习。 通过本课程，您将掌握 MongoDB 聚合框架的强大功能，并能够将其应用于实际的数据分析任务中。
Name:The Fundamentals of MongoDB Aggregation
Description: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.
Name:Leveraging MongoDB's Flexible Schema
Description: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.
Name:Machine Learning with MongoDB
Description: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.
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.
