Informações sobre o curso
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Prazos flexíveis

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Aprox. 19 horas para completar

Sugerido: 4 hours/week...

Inglês

Legendas: Inglês, Coreano

Habilidades que você terá

Big DataNeo4jKnimeSplunk

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 19 horas para completar

Sugerido: 4 hours/week...

Inglês

Legendas: Inglês, Coreano

Programa - O que você aprenderá com este curso

Semana
1
1 hora para concluir

Simulating Big Data for an Online Game

This week we provide an overview of the Eglence, Inc. Pink Flamingo game, including various aspects of the data which the company has access to about the game and users and what we might be interested in finding out.

...
4 vídeos ((Total 18 mín.)), 4 leituras
4 videos
Welcome from Splunk: Rob Reed World Education Evangelist3min
A Summary of Catch the Pink Flamingo7min
A Conceptual Schema for Catch the Pink Flamingo4min
4 leituras
Planning, Preparation, and Review10min
A Game by Eglence Inc. : Catch The Pink Flamingo10min
Overview of the Catch the Pink Flamingo Data Model10min
Overview of Final Project Design5min
4 horas para concluir

Acquiring, Exploring, and Preparing the Data

Next, we begin working with the simulated game data by exploring and preparing the data for ingestion into big data analytics applications.

...
6 leituras, 2 testes
6 leituras
Downloading the Game Data and Associated Scripts10min
Understanding the CSV Files Generated by the Scripts20min
Optional Review of Splunk
“Catch the Pink Flamingo” Data Exploration with Splunk45min
Aggregate Calculations Using Splunk45min
Filtering the Data With Splunk20min
1 exercício prático
Data Exploration With Splunk30min
Semana
2
5 horas para concluir

Data Classification with KNIME

This week we do some data classification using KNIME.

...
4 leituras, 1 teste
4 leituras
Review: Classification Using Decision Tree in KNIME10min
Review: Interpreting a Decision Tree in KNIME10min
Workflow Overview for Building a Decision Tree in KNIME20min
Description of combined_data.csv5min
Semana
3
5 horas para concluir

Clustering with Spark

This week we do some clustering with Spark.

...
2 leituras, 1 teste
2 leituras
Informing business strategies based on client base5min
Practice with PySpark MLlib Clustering30min
Semana
4
4 horas para concluir

Graph Analytics of Simulated Chat Data With Neo4j

This week we apply what we learned from the 'Graph Analytics With Big Data' course to simulated chat data from Catch the Pink Flamingos using Neo4j. We analyze player chat behavior to find ways of improving the game.

...
2 leituras, 1 teste
2 leituras
Understanding the Simulated Chat Data Generated by the Scripts10min
Graph Analytics of Catch the Pink Flamingo Chat Data Using Neo4j2h
4.4
58 avaliaçõesChevron Right

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comecei uma nova carreira após concluir estes cursos

29%

consegui um benefício significativo de carreira com este curso

18%

recebi um aumento ou promoção

Principais avaliações do Big Data - Projeto de Conclusão

por PPNov 14th 2018

This is very helpful project where i have applied all learning through ouot journey of this course.Though it was time consuming but worth to invest time, which benefits to upskill my knowledge

por DMApr 14th 2018

What a challenge, I came into this course as a London Black Cab Taxi Driver, I thought the knowledge was hard but this capstone was a challenge more intense than the Knowledge of London!!!

Instrutores

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Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
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Amarnath Gupta

Director, Advanced Query Processing Lab
San Diego Supercomputer Center (SDSC)

Sobre 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....

Sobre o 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

Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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