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Learner Reviews & Feedback for Introduction to Big Data by University of California San Diego

10,676 ratings

About the Course

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+....

Top reviews


Aug 11, 2021

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.


Sep 8, 2019

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.

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2326 - 2350 of 2,440 Reviews for Introduction to Big Data

By eyal

Feb 28, 2018

To my opinion, the intro course should be shorter and faster.

By Bhuvvaan C

Aug 16, 2016

Introductory Level Course.Nothing much on analytical methods.

By Fazila P P

Oct 3, 2020

unable to understand some concept and it is not very clear

By Miguel G

Jan 10, 2018

Very good material but, in my opinion, too many seminars :)

By Rahul P

Jun 30, 2019

The assignments and the quizes seemed pretty shallow...

By Haochuan W

Oct 23, 2018

Watch out for trolls in the peer grading assignments..


Nov 28, 2018

to many high level concepts but lack of real examples

By Manuel

Dec 17, 2017

Too generic and high-level, not a lot of learning

By Yajuvendra P

Mar 9, 2017

No technical support is provided for VM issues.

By Karen H

May 28, 2021

I spent tons of time to solve centos issues

By Congcong Z

Oct 26, 2017

well explained landscape of data science

By Maria G

Feb 16, 2017

Solo videos con conceptos. Poco Hands-on

By Daniel A D

Apr 8, 2018

Good information but not very hands-on.

By Camilo P T

Nov 28, 2018

basico y sencillo. Ideal para iniciar

By Gagan D S

Apr 8, 2020

Good to start from Basic. Love it


Jul 12, 2017

it is so simple, but informative


Aug 4, 2020

It is very easy to understand

By Franciszek G

Oct 22, 2018

Too little technical aspects.

By Bhawna B

Aug 23, 2017

need to give more assignments

By Alexander H

Nov 10, 2018

More hands on would be good

By YongDeuk C

Nov 20, 2016

it's too much basic stuffs.

By Aditya A

Feb 26, 2021

Add more hands on sessions

By Alvaro M

Sep 18, 2017


By Irfan S

Sep 11, 2017

Its very basic course

By Shivraj J

Dec 19, 2016

Basic info covered.