Want to understand your data network structure and how it changes under different conditions? Curious to know how to identify closely interacting clusters within a graph? Have you heard of the fast-growing area of graph analytics and want to learn more? This course gives you a broad overview of the field of graph analytics so you can learn new ways to model, store, retrieve and analyze graph-structured data.
Este curso faz parte do Programa de cursos integrados Big DataBig Data
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oferecido por
Programa de cursos integrados Big DataBig DataUniversidade da Califórnia, San DiegoInformações sobre o curso
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Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 5 de 6 no
Aprox. 13 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Coreano, Alemão, Russo, Inglês, Espanhol
Habilidades que você terá
- Graph Theory
- Neo4j
- Analytics
- Graph Database
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Curso 5 de 6 no
Aprox. 13 horas para completar
Inglês
Legendas: Árabe, Francês, Portuguese (European), Italiano, Vietnamita, Coreano, Alemão, Russo, Inglês, Espanhol
oferecido por
Universidade da Califórnia, San Diego
UC San Diego is an academic powerhouse and economic engine, recognized as one of the top 10 public universities by U.S. News and World Report. Innovation is central to who we are and what we do. Here, students learn that knowledge isn't just acquired in the classroom—life is their laboratory.
Programa - O que você aprenderá com este curso
4 minutos para concluir
Welcome to Graph Analytics
Meet your instructor, Amarnath Gupta and learn about the course objectives.
4 minutos para concluir
1 vídeo (Total 4 mín.)
3 horas para concluir
Introduction to Graphs
Welcome! This week we will get a first exposure to graphs and their use in everyday life. By the end of the module you will be able to create a graph applying core mathematical properties of graphs, and identify the kinds of analysis questions one might be able to ask of such a graph. We hope the you will be inspired as to how graphical representations might enable you to answer new Big Data problems!
3 horas para concluir
8 vídeos (Total 38 mín.), 2 leituras, 2 testes
3 horas para concluir
Graph Analytics
3 horas para concluir
17 vídeos (Total 81 mín.), 3 leituras, 2 testes
4 horas para concluir
Graph Analytics Techniques
Welcome to the 4th module in the Graph Analytics course. Last week, we got a glimpse of a number of graph properties and why they are important. This week we will use those properties for analyzing graphs using a free and powerful graph analytics tool called Neo4j. We will demonstrate how to use Cypher, the query language of Neo4j, to perform a wide range of analyses on a variety of graph networks.
4 horas para concluir
10 vídeos (Total 78 mín.), 12 leituras, 2 testes
Avaliações
Principais avaliações do GRAPH ANALYTICS FOR BIG DATA
por KM16 de Dez de 2017
Got an amazing introduction to Graph Analytics in Big Data. Technical issues with Neo4J made this course a little more challenging than necessary. But the introduction to Spark GraphX was invaluable.
por JT25 de Out de 2016
This course was excellent as an introduction to Graph Analytics and using Neo4j. Not only did I learn a lot, I've been given tasks related to what I've learned in this course after finishing it.
por AK22 de Nov de 2020
Interesting course but Week 5 was exceptionally buggy. Is that on purpose to help us learn about small errors that can creep in OR has the course not been updated for quite some time?
por LS23 de Mar de 2019
Nice introduction of multiple graph packages, however I missed some more applied cases, covering a real graph problem investigation (particularly how to associate Neo4j with GraphX).
Sobre Programa de cursos integrados Big DataBig Data
Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions.
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