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Вернуться к Big Data - Capstone Project

Отзывы учащихся о курсе Big Data - Capstone Project от партнера Калифорнийский университет в Сан-Диего

4.4
Оценки: 260
Рецензии: 64

О 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

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

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!!!

Фильтр по:

26–50 из 64 отзывов о курсе Big Data - Capstone Project

автор: Ventsislav P

May 14, 2017

Nice opportunity to practice the skills from all other courses.

автор: Helder V

Jan 16, 2018

In general the course is very good. There is a lack of support, especially when some exercises are proposed and then the final solution to the problem is not available, which requires a lot of search for solutions on the web. Even so, at the end of the course it is possible to get a good knowledge about the complete big data process.

автор: Volodymyr B

Jan 31, 2017

It was realyy interesting expierence!!!

Thank you!

автор: Nameer A

Apr 02, 2018

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автор: davide g

Jan 22, 2018

Thank you

автор: Kevin M

Jan 15, 2018

Excellent course for introduction to Big Data. This course covers some of current software that is used in big data processing such as Splunk, Knime, Spark and Neo4j. The course curriculum is designed to help you learn the materials and complete the certification successfully. Great job Professors Ilkay Altintas, Amarnath Gupta, Mai Nguyen. Thank You.

Kevin Murali

автор: Anup K M

Apr 22, 2018

very good

автор: Jorge E L C

Jan 30, 2017

Exvellent specialization you can learn alot from this. Recommended.

автор: Hamada I M

Aug 07, 2017

very good course

very simple and staff are professional , so thank you

автор: Sabawoon S

Apr 12, 2018

Very simple but a very informative specialization. This is an excellent introduction, you will need to study some topics like machine learning further to get a better understanding. If this was to be extended to a 10 course Specialization I would love to see more on model selection, model interpretation, regression and regularized regression, error analysis and inferential statistics, model assembling and free text analysis.

автор: Assaduzzaman N

Sep 26, 2017

This is a very good course in most aspects.

автор: Jose A B A

Nov 03, 2017

It was a very useful project for my learning.

автор: Álvaro S L

May 15, 2017

Try to fix all errors in this Capstone Project. After many weeks perfectly organized and written, this last weeks we have found too many mistakes. So try to fix them, please. Despite this, I am very proud of your and my work with the whole especialization. Congratulations !!!!!

автор: Diego M

May 24, 2017

Amazing capstone!

автор: ngoduyvu

Jun 28, 2017

This software in this course is great

автор: Nicolas G

Jan 22, 2018

Excellent course, 100% recommend to people want to learn big data fundamentals.

автор: Vadim P

May 31, 2019

I only realized how good this specialization was when I took a course from another university.

автор: Luis M M R

Jul 02, 2019

very good

автор: Fernando M

Jul 11, 2019

Excellent opportunity to practice what I learned during the Specialization.

автор: Swapnil D

Jul 30, 2019

Excellent project

автор: Steven Z

Sep 02, 2019

I learned a lot about applying the big data knowledge gained in the previous courses. Thank you!

автор: To P H

Feb 23, 2019

Not Bad

автор: ISLAM K

Mar 22, 2019

its very good course , here its aggregating all knowledge and information learned in previous courses

автор: Santiago A G

Sep 07, 2018

Good and very practical challenge

автор: Alexandre V

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!