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Big Data - Capstone Project, University of California San Diego

4.4
Оценки: 200
Рецензии: 50

Об этом курсе

Welcome to the Capstone Project for Big Data! In this culminating project, you will build a big data ecosystem using tools and methods form the earlier courses in this specialization. You will analyze a data set simulating big data generated from a large number of users who are playing our imaginary game "Catch the Pink Flamingo". During the five week Capstone Project, you will walk through the typical big data science steps for acquiring, exploring, preparing, analyzing, and reporting. In the first two weeks, we will introduce you to the data set and guide you through some exploratory analysis using tools such as Splunk and Open Office. Then we will move into more challenging big data problems requiring the more advanced tools you have learned including KNIME, Spark's MLLib and Gephi. Finally, during the fifth and final week, we will show you how to bring it all together to create engaging and compelling reports and slide presentations. As a result of our collaboration with Splunk, a software company focus on analyzing machine-generated big data, learners with the top projects will be eligible to present to Splunk and meet Splunk recruiters and engineering leadership....

Лучшие рецензии

автор: PP

Nov 14, 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

автор: DM

Apr 14, 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!!!

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Рецензии: 51

автор: Tejprakash Uppu

Dec 10, 2018

Course is well designed and structured.

автор: Rafael Ferraz do Nascimento

Nov 26, 2018

Very nice project! Uses a lot of the knowledge acquired in a funny way!!

автор: NARESH DASIKA

Nov 26, 2018

All the sessions were very informative and provided the required knowledge from basics.

автор: Jamiil Touré ALI

Nov 24, 2018

waoh.. it's incredible.. .. I strongly recommend this Capstone Project. Be sure to put on frank effort.

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автор: Krati Singh

Nov 22, 2018

Thank you Coursera and instructors for creating this course. The structure is very good. Looking forward for completing other specializations too. Thank you!!

автор: Jose Antonio Ribeiro Neto

Nov 14, 2018

My name is Jose Antonio from Brazil. I am looking for a new Data Scientist career (https://www.linkedin.com/in/joseantonio11).

I did this course to complete my CV in Big Data and better understand the technology.

The course was excellent and the classes well taught by teachers.

Thank you for the support, course quality and great classes.

Regards.

Jose Antonio.

автор: Payal

Nov 14, 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

автор: Vincent Roquebert

Oct 02, 2018

The Big Data - Capstone Project is a great course that is very challenging and requires a significant amount of work hours for a big data first-timer. The great experience could be enhanced by fixing some bugs in software and typos in guidance document.

автор: P. Heuze

Oct 02, 2018

Interesting final project to complete this course, didn't get 5 stars because:

Clarity could be improved in the instructions and solutions of the assignment

However this is counter-balanced by the amount of plagiarism (if you provide more detailed solutions, some people unfortunately will just copy/paste them).

So I am still wondering how the final results in week 4 were obtained....

автор: Alexandre VALENTIN

Sep 17, 2018

Great course that uses a project to apply what you learned in the others courses. I enjoyed it a lot.

The only point is the technical issues in the installation, compatibility of the cloudera version and softwares to be updated. It is necessary to give more support to the technical issues detected, else as a learner, you spend a lot of your time solving them.

Anyway, I definitely recommend this course if you want to keep learning a lot, It's worth the effort!