Об этом курсе

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Прибл. 20 часов на выполнение
Субтитры: Английский

Приобретаемые навыки

Relational AlgebraPython ProgrammingMapreduceSQL
Сертификат, ссылками на который можно делиться с другими людьми
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Гибкие сроки
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Прибл. 20 часов на выполнение
Субтитры: Английский

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Логотип Вашингтонский университет

Вашингтонский университет

Программа курса: что вы изучите

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Неделя 1

6 ч. на завершение

Data Science Context and Concepts

6 ч. на завершение
22 видео ((всего 125 мин.)), 4 материалов для самостоятельного изучения, 1 тест
22 видео
Appetite Whetting: Extreme Weather2мин
Appetite Whetting: Digital Humanities8мин
Appetite Whetting: Bibliometrics4мин
Appetite Whetting: Food, Music, Public Health5мин
Appetite Whetting: Public Health cont'd, Earthquakes, Legal4мин
Characterizing Data Science5мин
Characterizing Data Science, cont'd5мин
Distinguishing Data Science from Related Topics4мин
Four Dimensions of Data Science6мин
Tools vs. Abstractions7мин
Desktop Scale vs. Cloud Scale5мин
Hackers vs. Analysts2мин
Structs vs. Stats5мин
Structs vs. Stats cont'd5мин
A Fourth Paradigm of Science3мин
Data-Intensive Science Examples6мин
Big Data and the 3 Vs5мин
Big Data Definitions4мин
Big Data Sources6мин
Course Logistics7мин
Twitter Assignment: Getting Started14мин
4 материала для самостоятельного изучения
Supplementary: Three-Course Reading List10мин
Supplementary: Resources for Learning Python10мин
Supplementary: Class Virtual Machine10мин
Supplementary: Github Instructions10мин

Неделя 2

5 ч. на завершение

Relational Databases and the Relational Algebra

5 ч. на завершение
24 видео ((всего 122 мин.))
24 видео
From Data Models to Databases4мин
Pre-Relational Databases5мин
Motivating Relational Databases3мин
Relational Databases: Key Ideas4мин
Algebraic Optimization Overview6мин
Relational Algebra Overview4мин
Relational Algebra Operators: Union, Difference, Selection6мин
Relational Algebra Operators: Projection, Cross Product4мин
Relational Algebra Operators: Cross Product cont'd, Join6мин
Relational Algebra Operators: Outer Join4мин
Relational Algebra Operators: Theta-Join4мин
From SQL to RA6мин
Thinking in RA: Logical Query Plans4мин
Practical SQL: Binning Timeseries5мин
Practical SQL: Genomic Intervals6мин
User-Defined Functions3мин
Support for User-Defined Functions4мин
Optimization: Physical Query Plans5мин
Optimization: Choosing Physical Plans4мин
Declarative Languages5мин
Declarative Languages: More Examples4мин
Views: Logical Data Independence5мин

Неделя 3

5 ч. на завершение

MapReduce and Parallel Dataflow Programming

5 ч. на завершение
26 видео ((всего 122 мин.))
26 видео
A Sketch of Algorithmic Complexity5мин
A Sketch of Data-Parallel Algorithms5мин
"Pleasingly Parallel" Algorithms4мин
More General Distributed Algorithms4мин
MapReduce Abstraction4мин
MapReduce Data Model3мин
Map and Reduce Functions2мин
MapReduce Simple Example3мин
MapReduce Simple Example cont'd3мин
MapReduce Example: Word Length Histogram2мин
MapReduce Examples: Inverted Index, Join6мин
Relational Join: Map Phase4мин
Relational Join: Reduce Phase4мин
Simple Social Network Analysis: Counting Friends3мин
Matrix Multiply Overview5мин
Matrix Multiply Illustrated4мин
Shared Nothing Computing4мин
MapReduce Implementation5мин
MapReduce Phases6мин
A Design Space for Large-Scale Data Systems4мин
Parallel and Distributed Query Processing5мин
Teradata Example, MR Extensions5мин
RDBMS vs. MapReduce: Features6мин
RDBMS vs. Hadoop: Grep5мин
RDBMS vs. Hadoop: Select, Aggregate, Join3мин

Неделя 4

3 ч. на завершение

NoSQL: Systems and Concepts

3 ч. на завершение
36 видео ((всего 166 мин.))
36 видео
NoSQL Roundup4мин
Relaxing Consistency Guarantees3мин
Two-Phase Commit and Consensus Protocols5мин
Eventual Consistency4мин
CAP Theorem4мин
Types of NoSQL Systems4мин
ACID, Major Impact Systems4мин
Memcached: Consistent Hashing2мин
Consistent Hashing, cont'd4мин
DynamoDB: Vector Clocks5мин
Vector Clocks, cont'd5мин
CouchDB Overview4мин
CouchB Views3мин
BigTable Overview5мин
BigTable Implementation5мин
HBase, Megastore3мин
Spanner cont'd, Google Systems6мин
MapReduce-based Systems5мин
Bringing Back Joins4мин
NoSQL Rebuttal4мин
Almost SQL: Pig4мин
Pig Architecture and Performance3мин
Data Model3мин
Load, Filter, Group5мин
Group, Distinct, Foreach, Flatten5мин
CoGroup, Join3мин
Join Algorithms3мин
Other Commands3мин
Evaluation Walkthrough3мин
Spark Examples5мин
RDDs, Benefits6мин
2 ч. на завершение

Graph Analytics

2 ч. на завершение
21 видео ((всего 91 мин.))
21 видео
Structural Analysis4мин
Degree Histograms, Structure of the Web4мин
Connectivity and Centrality4мин
PageRank in more Detail3мин
Traversal Tasks: Spanning Trees and Circuits5мин
Traversal Tasks: Maximum Flow1мин
Pattern Matching6мин
Querying Edge Tables4мин
Relational Algebra and Datalog for Graphs4мин
Querying Hybrid Graph/Relational Data3мин
Graph Query Example: NSA6мин
Graph Query Example: Recursion4мин
Evaluation of Recursive Programs3мин
Recursive Queries in MapReduce4мин
The End-Game Problem3мин
Representation: Edge Table, Adjacency List4мин
Representation: Adjacency Matrix2мин
PageRank in MapReduce5мин
PageRank in Pregel5мин



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Специализация Наука о больших данных: общие сведения

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....
Наука о больших данных

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