About this Course
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다음 전문 분야의 4개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 21시간 필요

권장: 4 weeks of study, 6-8 hours/week...

영어

자막: 영어
User
Course을(를) 수강하는 학습자
  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Chief Technology Officers (CTOs)
  • Data Engineers

귀하가 습득할 기술

Relational AlgebraPython ProgrammingMapreduceSQL
User
Course을(를) 수강하는 학습자
  • Data Scientists
  • Machine Learning Engineers
  • Data Analysts
  • Chief Technology Officers (CTOs)
  • Data Engineers

다음 전문 분야의 4개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 21시간 필요

권장: 4 weeks of study, 6-8 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 6시간 필요

Data Science Context and Concepts

22개 동영상 (총 125분), 4 readings, 1 quiz
22개의 동영상
Appetite Whetting: Extreme Weather2m
Appetite Whetting: Digital Humanities8m
Appetite Whetting: Bibliometrics4m
Appetite Whetting: Food, Music, Public Health5m
Appetite Whetting: Public Health cont'd, Earthquakes, Legal4m
Characterizing Data Science5m
Characterizing Data Science, cont'd5m
Distinguishing Data Science from Related Topics4m
Four Dimensions of Data Science6m
Tools vs. Abstractions7m
Desktop Scale vs. Cloud Scale5m
Hackers vs. Analysts2m
Structs vs. Stats5m
Structs vs. Stats cont'd5m
A Fourth Paradigm of Science3m
Data-Intensive Science Examples6m
Big Data and the 3 Vs5m
Big Data Definitions4m
Big Data Sources6m
Course Logistics7m
Twitter Assignment: Getting Started14m
4개의 읽기 자료
Supplementary: Three-Course Reading List10m
Supplementary: Resources for Learning Python10m
Supplementary: Class Virtual Machine10m
Supplementary: Github Instructions10m
2
완료하는 데 5시간 필요

Relational Databases and the Relational Algebra

24개 동영상 (총 122분), 1 quiz
24개의 동영상
From Data Models to Databases4m
Pre-Relational Databases5m
Motivating Relational Databases3m
Relational Databases: Key Ideas4m
Algebraic Optimization Overview6m
Relational Algebra Overview4m
Relational Algebra Operators: Union, Difference, Selection6m
Relational Algebra Operators: Projection, Cross Product4m
Relational Algebra Operators: Cross Product cont'd, Join6m
Relational Algebra Operators: Outer Join4m
Relational Algebra Operators: Theta-Join4m
From SQL to RA6m
Thinking in RA: Logical Query Plans4m
Practical SQL: Binning Timeseries5m
Practical SQL: Genomic Intervals6m
User-Defined Functions3m
Support for User-Defined Functions4m
Optimization: Physical Query Plans5m
Optimization: Choosing Physical Plans4m
Declarative Languages5m
Declarative Languages: More Examples4m
Views: Logical Data Independence5m
Indexes6m
3
완료하는 데 5시간 필요

MapReduce and Parallel Dataflow Programming

26개 동영상 (총 122분), 1 quiz
26개의 동영상
A Sketch of Algorithmic Complexity5m
A Sketch of Data-Parallel Algorithms5m
"Pleasingly Parallel" Algorithms4m
More General Distributed Algorithms4m
MapReduce Abstraction4m
MapReduce Data Model3m
Map and Reduce Functions2m
MapReduce Simple Example3m
MapReduce Simple Example cont'd3m
MapReduce Example: Word Length Histogram2m
MapReduce Examples: Inverted Index, Join6m
Relational Join: Map Phase4m
Relational Join: Reduce Phase4m
Simple Social Network Analysis: Counting Friends3m
Matrix Multiply Overview5m
Matrix Multiply Illustrated4m
Shared Nothing Computing4m
MapReduce Implementation5m
MapReduce Phases6m
A Design Space for Large-Scale Data Systems4m
Parallel and Distributed Query Processing5m
Teradata Example, MR Extensions5m
RDBMS vs. MapReduce: Features6m
RDBMS vs. Hadoop: Grep5m
RDBMS vs. Hadoop: Select, Aggregate, Join3m
4
완료하는 데 3시간 필요

NoSQL: Systems and Concepts

36개 동영상 (총 166분)
36개의 동영상
NoSQL Roundup4m
Relaxing Consistency Guarantees3m
Two-Phase Commit and Consensus Protocols5m
Eventual Consistency4m
CAP Theorem4m
Types of NoSQL Systems4m
ACID, Major Impact Systems4m
Memcached: Consistent Hashing2m
Consistent Hashing, cont'd4m
DynamoDB: Vector Clocks5m
Vector Clocks, cont'd5m
CouchDB Overview4m
CouchB Views3m
BigTable Overview5m
BigTable Implementation5m
HBase, Megastore3m
Spanner5m
Spanner cont'd, Google Systems6m
MapReduce-based Systems5m
Bringing Back Joins4m
NoSQL Rebuttal4m
Almost SQL: Pig4m
Pig Architecture and Performance3m
Data Model3m
Load, Filter, Group5m
Group, Distinct, Foreach, Flatten5m
CoGroup, Join3m
Join Algorithms3m
Skew5m
Other Commands3m
Evaluation Walkthrough3m
Review6m
Context3m
Spark Examples5m
RDDs, Benefits6m
완료하는 데 2시간 필요

Graph Analytics

21개 동영상 (총 91분)
21개의 동영상
Structural Analysis4m
Degree Histograms, Structure of the Web4m
Connectivity and Centrality4m
PageRank3m
PageRank in more Detail3m
Traversal Tasks: Spanning Trees and Circuits5m
Traversal Tasks: Maximum Flow1m
Pattern Matching6m
Querying Edge Tables4m
Relational Algebra and Datalog for Graphs4m
Querying Hybrid Graph/Relational Data3m
Graph Query Example: NSA6m
Graph Query Example: Recursion4m
Evaluation of Recursive Programs3m
Recursive Queries in MapReduce4m
The End-Game Problem3m
Representation: Edge Table, Adjacency List4m
Representation: Adjacency Matrix2m
PageRank in MapReduce5m
PageRank in Pregel5m
4.3
151개의 리뷰Chevron Right

Data Manipulation at Scale: Systems and Algorithms의 최상위 리뷰

대학: HAJan 11th 2016

Great course that strikes a balance between teaching general principles and concepts, and providing hands-on technical skills and practice.\n\nThe lessons are well designed and clearly conveyed.

대학: SLMay 28th 2016

I like the breadth of coverage of this class. Each of the exercise is a gem in that I get to learn something new also. I would highly recommend this even to experience practitioner also.

강사

Avatar

Bill Howe

Director of Research
Scalable Data Analytics

워싱턴 대학교 정보

Founded in 1861, the University of Washington is one of the oldest state-supported institutions of higher education on the West Coast and is one of the preeminent research universities in the world....

Data Science at Scale 전문 분야 정보

Learn scalable data management, evaluate big data technologies, and design effective visualizations. This Specialization covers intermediate topics in data science. You will gain hands-on experience with scalable SQL and NoSQL data management solutions, data mining algorithms, and practical statistical and machine learning concepts. You will also learn to visualize data and communicate results, and you’ll explore legal and ethical issues that arise in working with big data. In the final Capstone Project, developed in partnership with the digital internship platform Coursolve, you’ll apply your new skills to a real-world data science project....
Data Science at Scale

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.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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