Informações sobre o curso

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Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 12 horas para completar
Inglês
Legendas: Inglês, Coreano

Habilidades que você terá

Graph TheoryNeo4jAnalyticsGraph Database

Resultados de carreira do aprendiz

42%

comecei uma nova carreira após concluir estes cursos

28%

consegui um benefício significativo de carreira com este curso
Certificados compartilháveis
Tenha o certificado após a conclusão
100% on-line
Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis
Redefinir os prazos de acordo com sua programação.
Aprox. 12 horas para completar
Inglês
Legendas: Inglês, Coreano

oferecido por

Logotipo de Universidade da Califórnia, San Diego

Universidade da Califórnia, San Diego

Programa - O que você aprenderá com este curso

Classificação do conteúdoThumbs Up89%(3,244 classificações)Info
Semana
1

Semana 1

4 minutos para concluir

Welcome to Graph Analytics

4 minutos para concluir
1 vídeo (Total 4 mín.)
Semana
2

Semana 2

3 horas para concluir

Introduction to Graphs

3 horas para concluir
8 vídeos (Total 38 mín.), 2 leituras, 2 testes
8 videos
Why Graphs?2min
Why Graphs? Example 1: Social Networking3min
Why Graphs? Example 2: Biological Networks3min
Why Graphs? Example 3: Human Information Network Analytics3min
Why Graphs? Example 4: Smart Cities2min
The Purpose of Analytics1min
What are the impact of Big Data's V's on Graphs?12min
2 leituras
What to learn in this module10min
Download Slides for this Module10min
1 exercício prático
Introduction to Graphs24min
Semana
3

Semana 3

3 horas para concluir

Graph Analytics

3 horas para concluir
17 vídeos (Total 81 mín.), 3 leituras, 2 testes
17 videos
Path Analytics6min
The Basic Path Analytics Question: What is the Best Path?4min
Applying Dijkstra's Algorithm5min
Inclusion and Exclusion Constraints1min
Connectivity Analytics3min
Disconnecting a Graph1min
Connectedness: Indegree and Outdegree3min
Community Analytics and Local Properties7min
Global Property: Modularity7min
Centrality Analytics8min
Optional Lecture 1: Bi-directional Dijkstra Algorithm2min
Optional Lecture 2: Goal-directed Dijkstra Algorithm2min
Optional Lecture 3: Power Law Graphs2min
Optional Lecture 4: Measuring Graph Evolution3min
Optional Lecture 5: Eigenvector Centrality6min
Optional Lecture 6: Key Player Problems2min
3 leituras
What to learn in this module10min
If this module takes a little longer... that's OK!10min
Download All Slides for Module 310min
2 exercícios práticos
Graph Analytics Applications34min
Connectivity, Community, and Centrality Analytics38min
Semana
4

Semana 4

4 horas para concluir

Graph Analytics Techniques

4 horas para concluir
10 vídeos (Total 78 mín.), 12 leituras, 2 testes
10 videos
Hands-On: Downloading, Installing, and Running Neo4j5min
Hands-On: Getting Started With Neo4j6min
Hands-On: Modifying a Graph With Neo4j7min
Hands-On: Importing Data Into Neo4j13min
Hands-On: Basic Queries in Neo4j With Cypher - Part 16min
Hands-On: Basic Queries in Neo4j With Cypher - Part 26min
Hands-On: Path Analytics in Neo4j Using Cypher - Part 18min
Hands-On: Path Analytics in Neo4j Using Cypher - Part 211min
Hands-On: Connectivity Analytics in Neo4j With Cypher9min
12 leituras
About the Supplementary Resources10min
Downloading, Installing, and Running Neo4j - Supplementary Resources10min
Getting Started With Neo4j - Supplementary Resources10min
Adding to and Modifying a Graph - Supplementary Resources10min
Download datasets used in this Graph Analytics with Neo4j10min
Importing Data Into Neo4j - Supplementary Resources10min
FAQ10min
Basic Queries in Neo4j With Cypher - Supplementary Resources10min
Path Analytics in Neo4j With Cypher - Supplementary Resources10min
Connectivity Analytics in Neo4j with Cypher - Supplementary Resources10min
Assignment: Practicing Graph Analytics in Neo4j With Cypher10min
Download All Neo4j Supplementary Resources (PDFs)10min
2 exercícios práticos
Quiz: Graph Analytics With Neo4j18min
Assessment Questions on 'Practicing Graph Analytics in Neo4j With Cypher'18min

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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. ********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data....
Big DataBig Data

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    • The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.

  • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

  • If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.

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