About this Course
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100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 21시간 필요

권장: 7 hours/week...

영어

자막: 영어

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

탄력적인 마감일

일정에 따라 마감일을 재설정합니다.

중급 단계

완료하는 데 약 21시간 필요

권장: 7 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 4시간 필요

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 videos (Total 63 min), 1 reading, 15 quizzes
15개의 동영상
Course Logistics and Prerequisites2m
Aggregation Introduction4m
The Concept of Pipelines2m
Aggregation Structure and Syntax3m
$match: Filtering Documents3m
Using $project5m
Using Expressions3m
Cursor Like Methods Stages: Part 15m
Cursor Like Methods Stages: Part 25m
The $group Stage5m
Using Accumulator Expressions5m
$unwind4m
The $lookup Stage4m
$graphLookup Stage6m
1개의 읽기 자료
Setting Up Your Course Environment10m
15개 연습문제
Course Logistics2m
Aggregation Introduction2m
The Concept of Pipelines2m
Aggregation Structure and Syntax2m
$match: Filtering Documents2m
Using $project2m
Using Expressions2m
$project and Expressions30m
Changing Document Shape with $project20m
Cursor Like Methods20m
$group Accumulators20m
$unwind and $group30m
The $lookup Stage2m
$lookup20m
$graphLookup30m
2
완료하는 데 2시간 필요

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 videos (Total 64 min), 9 quizzes
11개의 동영상
mongoimport11m
Importance of Schema4m
Exploring Schemas4m
Migrating Your Schema6m
Views7m
Supplementing Schemas with Accumulators4m
Tree-like Data in Individual Documents (Part 1)4m
Tree-like Data in Individual Documents (Part 2)7m
Expressive Lookup Basics5m
Entity Resolution with $lookup5m
9개 연습문제
Intro to Week 22m
mongoimport2m
Importance of Schema2m
Exploring Schemas2m
Migrating Your Schema2m
Views2m
Schemas and accumulators30m
Tree-like Data in Individual Documents2m
Entity Resolution30m
3
완료하는 데 3시간 필요

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 videos (Total 68 min), 12 quizzes
11개의 동영상
Calculation of Persons-Rho9m
Intro: Associative Role Learning10m
Principal Component Analysis (Part 1)2m
Principal Component Analysis (Part 2)7m
Intro to Linear Regressions5m
Linear Regressions with MongoDB8m
Decision Trees Part 12m
Decision Trees Part 210m
Decision Trees Part 32m
Intro to Clustering Algorithms6m
12개 연습문제
Intro to Week 32m
Pearsons-Rho15m
Intro: Associative Role Learning2m
Associative Rules on Titanic Data Set20m
Principal Component Analysis2m
Intro to Linear Regressions2m
Linear Regressions with MongoDB2m
Linear regression on Titanic data set20m
Decision Trees2m
Decision Trees on Titanic Data Set20m
Intro to Clustering Algorithms2m
K-means usage on Titanic dataset20m

강사

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Nathan Leniz

Curriculum Engineer
Education
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Kirby Kohlmorgen

Senior Curriculum Engineer
Education

MongoDB Inc. 정보

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. ...

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 수료증을 구매하면 성적 평가 과제를 포함한 모든 강좌 자료에 접근할 수 있습니다. 강좌를 완료하면 전자 수료증이 성취도 페이지에 추가되며, 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 콘텐츠만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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