Chevron Left
Back to Introduction to Big Data

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

4.6
stars
10,010 ratings
2,358 reviews

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

HM
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.

DK
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.

Filter by:

551 - 575 of 2,304 Reviews for Introduction to Big Data

By ANNA L M

Mar 12, 2018

Thanks so much. I learned a lot about Big Data. The hands-on are very easy to follow.

By Ana M

Mar 3, 2018

I've learned a lot about how the data could be structure and the tools to exploid it.

By Ashish C

Apr 12, 2017

Very well formulated with all the necessary details required to understand the basics

By Shantanu P

Dec 19, 2016

I learnt many things about Big Data. Now at least I have some basic foundation in it.

By Salah A S

Nov 15, 2020

this course is very good and i learn more about big data science thanks for coursera

By Louisa C H

Jul 22, 2020

This course easy to follow and give me new knowledge and new basic skill in big data

By Sirak K

Jun 9, 2020

I like the Hadoop part especially MapReduce the most. It is very easy to understand.

By Anupam k

May 13, 2020

it was really a good cousre thank you coursera for giving such a wonderful sesssion

By Haris G

Mar 24, 2020

A wonderful course for beginners you can learn a lot. Instructors are super awesome.

By vincent

Mar 2, 2019

The best introduction course I had so far. Now I know the big picture about big data

By luan N

Aug 25, 2018

It is a great course for beginner to understand about Big Data and Hadoop ecosystem.

By Stefan M

Mar 21, 2018

very clear and precise instructions and no hassles with the grading of the assigment

By Merouane B

Oct 17, 2017

Awesome course, the content is well organized and it gives you all you need to know.

By Carlos E M S

Dec 22, 2016

Great starting point if you want to understand Big Data ecosystem and basic concepts

By RAJESH K M

Nov 22, 2016

This course is very informative to enhance my carrier in right way of my own choice.

By Manish M

Sep 30, 2020

I will definitely recommend this course if you really want to learn about big data.

By Guillermina S

Mar 16, 2019

Good introduction (not very technical), takes a day to complete with velocity 1.75x

By Gustavo I M

Aug 28, 2018

an Introduction for big Data. Opened my mind for future uses in my life and my work

By Mohammed A S

Dec 13, 2017

Excellent course, very easy to follow and with rich content and hands-on experience

By Rahul P

Oct 11, 2017

Great course for beginners. Please add optional assignment on Map Reduce functions.

By Gonzalo S G

May 21, 2020

Very useful, I hope I'll keep improving about Big Data quotes, thank you very much

By Saad R

Sep 25, 2019

It is a really good introductory course for people who are interested in the field

By Varun K

Sep 24, 2018

Excellent course material. Quiz were also good. Overall great learning experience.

By bazil q

Apr 21, 2018

Very informative and easy to understand course. Would recommend to all my friends.

By Maria J M

Aug 7, 2017

This course is really intended for beginners like me. It was very easy to follow.