Acerca de este Curso
4.4
229 calificaciones
57 revisiones

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 19 horas para completar

Sugerido: 4 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Habilidades que obtendrás

Big DataNeo4jKnimeSplunk

100 % en línea

Comienza de inmediato y aprende a tu propio ritmo.

Fechas límite flexibles

Restablece las fechas límite en función de tus horarios.

Aprox. 19 horas para completar

Sugerido: 4 hours/week...

Inglés (English)

Subtítulos: Inglés (English)

Programa - Qué aprenderás en este curso

Semana
1
1 hora para completar

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 videos (Total 18 minutos), 4 readings
4 videos
Welcome from Splunk: Rob Reed World Education Evangelist3m
A Summary of Catch the Pink Flamingo7m
A Conceptual Schema for Catch the Pink Flamingo4m
4 lecturas
Planning, Preparation, and Review10m
A Game by Eglence Inc. : Catch The Pink Flamingo10m
Overview of the Catch the Pink Flamingo Data Model10m
Overview of Final Project Design5m
4 horas para completar

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 readings, 2 quizzes
6 lecturas
Downloading the Game Data and Associated Scripts10m
Understanding the CSV Files Generated by the Scripts20m
Optional Review of Splunk
“Catch the Pink Flamingo” Data Exploration with Splunk45m
Aggregate Calculations Using Splunk45m
Filtering the Data With Splunk20m
1 ejercicio de práctica
Data Exploration With Splunk30m
Semana
2
5 horas para completar

Data Classification with KNIME

This week we do some data classification using KNIME. ...
4 readings, 1 quiz
4 lecturas
Review: Classification Using Decision Tree in KNIME10m
Review: Interpreting a Decision Tree in KNIME10m
Workflow Overview for Building a Decision Tree in KNIME20m
Description of combined_data.csv5m
Semana
3
5 horas para completar

Clustering with Spark

This week we do some clustering with Spark. ...
2 readings, 1 quiz
2 lecturas
Informing business strategies based on client base5m
Practice with PySpark MLlib Clustering30m
Semana
4
4 horas para completar

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 readings, 1 quiz
2 lecturas
Understanding the Simulated Chat Data Generated by the Scripts10m
Graph Analytics of Catch the Pink Flamingo Chat Data Using Neo4js
4.4
57 revisionesChevron Right

25%

comenzó una nueva carrera después de completar estos cursos

29%

consiguió un beneficio tangible en su carrera profesional gracias a este curso

18%

consiguió un aumento de sueldo o ascenso

Principales revisiones

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!!!

Instructores

Avatar

Ilkay Altintas

Chief Data Science Officer
San Diego Supercomputer Center
Avatar

Amarnath Gupta

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

Acerca de Universidad de California en 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....

Acerca del programa especializado Macrodatos

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....
Macrodatos

Preguntas Frecuentes

  • Una vez que te inscribes para obtener un Certificado, tendrás acceso a todos los videos, cuestionarios y tareas de programación (si corresponde). Las tareas calificadas por compañeros solo pueden enviarse y revisarse una vez que haya comenzado tu sesión. Si eliges explorar el curso sin comprarlo, es posible que no puedas acceder a determinadas tareas.

  • Cuando te inscribes en un curso, obtienes acceso a todos los cursos que forman parte del Programa especializado y te darán un Certificado cuando completes el trabajo. Se añadirá tu Certificado electrónico a la página Logros. Desde allí, puedes imprimir tu Certificado o añadirlo a tu perfil de LinkedIn. Si solo quieres leer y visualizar el contenido del curso, puedes auditar el curso sin costo.

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