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Вернуться к Введение в большие данные

Отзывы учащихся о курсе Введение в большие данные от партнера Калифорнийский университет в Сан-Диего

Оценки: 9,568
Рецензии: 2,258

О курсе

Interested in increasing your knowledge of the Big Data landscape? This course is for those new to data science and interested in understanding why the Big Data Era has come to be. It is for those who want to become conversant with the terminology and the core concepts behind big data problems, applications, and systems. It is for those who want to start thinking about how Big Data might be useful in their business or career. It provides an introduction to one of the most common frameworks, Hadoop, that has made big data analysis easier and more accessible -- increasing the potential for data to transform our world! At the end of this course, you will be able to: * Describe the Big Data landscape including examples of real world big data problems including the three key sources of Big Data: people, organizations, and sensors. * Explain the V’s of Big Data (volume, velocity, variety, veracity, valence, and value) and why each impacts data collection, monitoring, storage, analysis and reporting. * Get value out of Big Data by using a 5-step process to structure your analysis. * Identify what are and what are not big data problems and be able to recast big data problems as data science questions. * Provide an explanation of the architectural components and programming models used for scalable big data analysis. * Summarize the features and value of core Hadoop stack components including the YARN resource and job management system, the HDFS file system and the MapReduce programming model. * Install and run a program using Hadoop! This course is for those new to data science. No prior programming experience is needed, although the ability to install applications and utilize a virtual machine is necessary to complete the hands-on assignments. Hardware Requirements: (A) Quad Core Processor (VT-x or AMD-V support recommended), 64-bit; (B) 8 GB RAM; (C) 20 GB disk free. How to find your hardware information: (Windows): Open System by clicking the Start button, right-clicking Computer, and then clicking Properties; (Mac): Open Overview by clicking on the Apple menu and clicking “About This Mac.” Most computers with 8 GB RAM purchased in the last 3 years will meet the minimum requirements.You will need a high speed internet connection because you will be downloading files up to 4 Gb in size. Software Requirements: This course relies on several open-source software tools, including Apache Hadoop. All required software can be downloaded and installed free of charge. Software requirements include: Windows 7+, Mac OS X 10.10+, Ubuntu 14.04+ or CentOS 6+ VirtualBox 5+....

Лучшие рецензии

8 сент. 2019 г.

I love the course. It goes deep into the foundations, and then finishes up with an actual lab where you learn by practice. I greatly benefited from it and feel I have achieved a milestone in big data.

13 июля 2017 г.

First of all i would like to take this opportunity to thanks the instructors the course is well structured and explained the foundations with real world problems with easy to understand the concepts.

Фильтр по:

2101–2125 из 2,190 отзывов о курсе Введение в большие данные

автор: Yuvarani.P

4 авг. 2020 г.

It is very easy to understand

автор: Franciszek G

22 окт. 2018 г.

Too little technical aspects.

автор: Bhawna B

23 авг. 2017 г.

need to give more assignments

автор: Alexander H

10 нояб. 2018 г.

More hands on would be good

автор: YongDeuk C

20 нояб. 2016 г.

it's too much basic stuffs.

автор: Aditya A

26 февр. 2021 г.

Add more hands on sessions

автор: Alvaro M

18 сент. 2017 г.


автор: Irfan S

11 сент. 2017 г.

Its very basic course

автор: Shivraj J

19 дек. 2016 г.

Basic info covered.

автор: Roman N

4 нояб. 2016 г.

too philosophical

автор: Jordi S C

8 янв. 2019 г.

Very theoretical

автор: Alex B

18 февр. 2017 г.

Quite shallow...

автор: Ravi

14 нояб. 2017 г.

Lot of talking.

автор: Deleted A

17 мар. 2017 г.

Not good enough

автор: Marcelo G D L

12 мая 2020 г.

A bit outdated

автор: Lakshmi M

5 окт. 2017 г.

Good overview

автор: Manoj S

29 окт. 2017 г.

Pretty basic

автор: Sanjay

12 мая 2018 г.

nice one

автор: Safoora

6 февр. 2018 г.

Good st

автор: Raizza S d S

15 июля 2020 г.

I had quite some high expectations for this course however Week 1 videos were already such a turn-off. The videos were so slow-paced that it actually became just like a lecture at uni (boring). However, at first, the content was indeed interesting for Big Data introduction. The first quiz was horrible. It was so hard, half of the questions had nothing to do with the content (in my opinion). I had to research the subjects on another websites as I honestly did not see half of them on the videos. All other tests were more reliable to what was previously learned. But the part that made me more upset was having to download and install 2 applications (this was not explicit on the programme) for the final assessment understanding and answering a 2-question quiz in which one of these applications had FOUR GBs to be downloaded. Up to this point, I did download the file. Overall I do not recommend this course to anyone. Reasons are clear: the "sluggishness" of the videos and presenter and the final/ultimate 4GB gift. They should create an online environment for this task/application. I do give a star for the assessment where we had to create a presentation of how MapReduce works. I liked that interactivity.

автор: Petter B

8 авг. 2016 г.

The content of the course is ok. The main problem is that the way the information is presented. Ilkay Altintas, who is the main lecturer, is a sweet woman, but lecturing from a manuscript is not her strongest side. It is clear that she is reading from a screen while she is looking into the camera. Anyone could do that job, and they should have chosen more of an "news anchor" type of person with better pronunciation and more flow. It's simply very uninspiring and boring to listen to. Also, 59 dollars is far too expensive for such a short course.

автор: Michał S

6 янв. 2017 г.

It covers theoretical part of "What big data is" and basic info about Hadoop. Quality of presentation slides is below average. Most of them are not readable - many fonts, many colors, some with complicated pictures, some with no information at all. Part with Map reduce is just slightly touched, not explained in details, without examples. Practical tasks from hadoop are very easy and they show nothing (just how to navigate over hadoop file system.

автор: Evženie T

5 апр. 2018 г.

The basic concepts were mentioned but not explained deeply enough, so I was mostly memorizing rather than understanding. The presentation was boring, and the tests did not really test anyone's understanding of the subject matter but rather if one memorized correctly the information from the videos. I would recommend finding a more engaging course.

автор: Adrián C

11 июня 2020 г.

There is a big learning gap between the first two weeks and the third one. Some key concepts are poorly or never defined throughout the course. By the end of this course, I lack the knowledge to perform a basic big data analysis. The tools we learn how to use during the course are not particularly relevant.

автор: Faisal A

12 июля 2020 г.

Decent overview of things but the presentations seemed outdated. The material is a bit too basic and could benefit from more practical aspects. It felt like not a lot of effort was put into making the course. I hope the next few courses in the specialization are better :)