Overall experience was good with learning module. the objective to the course has meet the expectations.

Suggestion: Please check once the question module, which showing wrong with different answer combinations.

Rest all as per me up to the mark. Thank you

A good course for beginners to understand the basics of BigData and the history behind it. Learned basic definitions and understanding of terms used in BigData. Hand on practice to install VirtualBox and run hadoop basic commands in Cloudera Sandbox.

I believe that I developed an understanding of the Introduction to big data. This is what I was interested in achieving. This is the first course I have taken from Online-learning.com and I feel that I am achieving a good understanding of big data.

Creo que es un curso que explica muy bien las bases de Big Data y analítica. En ciertos momentos es demasiado básico pero es entendible pues esta orientado a muchos perfiles, no necesariamente experimentados en desarrollo de aplicaciones o analítica.

For folks in industry, the first 2 weeks were painfully/needlessly slow. All material one knows, and quiz answers seemed a bit arbitrary at times. Week 3 was VERY useful material, the meat of gaps in my knowledge that I'm trying to address.

This course gives the student an amazing exposure to the world of Big Data and in a very understandable way creates the concepts. The assignments really help in making the concepts stronger and give another level of confidence to the student.

Great introduction course. The pace is slow enough that a person without technical background should be able to follow it. However as you are not restricted to only do the current week task its also great for someone who had some experience.

Good INTRODUCTION , an understanding of data management will help digest alot of it. But very simple and elegant course with only simple concepts to grasp which in reality covers big data pretty well! Excited to take the rest of the courses

If you're unfamiliar with how big data is processed and what makes it unique from "regular" data, this is a good introductory course. It provides sufficient detail to understand the key concepts, programs, and methodologies around Big Data.

Include more practical exercises per chapter, the student must wait until the end of the course for some on-hand laboratories. Add more details for some of the slides (Hadoop and Map-Reduce) so the student can use them for later reviews.

I didn't like the first assignment playing with the shapes in powerpoint; I almost quit and did a different specialization. Everything else was good. I felt very powerful "Enabling Virtualization" on my PC and getting Virtual Box to run.

Las primeras sesiones podrían condensarse más (aumentando la velocidad, no cortando contenido) y hacer más ejercicios de Hadoop al final, y explicar más sobre las aplicaciones de el mismo, o aplicar una herramienta alternativa también.

The speaking pace should be quite constant (sometimes it's slow, sometimes it's fast). Examples are useful. The Flamingo example is quite boring though. Interviews with experts are very useful to understand the application of Big Data.

The course gives a nice overview of the drivers of big data and the challenges of the process of acquiring value from it. Point of improvement: the video transcripts contain quite some errors, likely due to automatic speach conversion.

The introduced concepts are quite useful, however the quality of the presentation is a bit poor (I mean the lady who teaches has a really poor screen presence and is not really very engaging).

Nevertheless, the course is quite good.

A good introduction to the terms and concepts of Big Data. I was personally hoping for more hands on work with the Hadoop framework (an assignment / homework would have been nice). The lectures seems to be quite monotone at times.

Excellent course for beginner in the world of big data. Some issues with the hands-on lab (maybe due to a change in Cloudera softs). Provided examples were not working as-is for me, because of some path issues. But great anyway.

Good course to give you an overview of Big Data; best thing being it includes Hadoop programming basics as well. Interesting as well as a bit challenging course to learn about Big Data.I would surely recommend this to a friend.

The first two weeks' course is really academic style, introducing many conceptions ahead. It could be more concise.

The third week is useful, but it's short and not much in detail, maybe just enough for an introduction course.

This course got upgraded from 2015 to 2016. I wish I did not have to take twice because all the assignments and material seemed the same. Maybe next time you upgrade give students the credit for the classes they already took.

Nice course, very informative, only suggestion is to add details on how to install the Hadoop environment in Linux, rather than using an image to run on a VM in Windows or MAC. Programmers using Linux would benefit from it.

I looked for many sources to get started in Big Data and, after a lot of filtering, I opted for UC San Diego. I am very satisfied although in the final exercise of this first course I found problems outside the script.

This is an introductory course which met my expectations, giving overview with a little hands-on experience. Though instructional skills were not to the mark, supporting material and assignment instructions were good.

It is a good course for someone looking to learn the basics. Some of the things might not get instantly clear but I am hoping that as we move forward through other courses in the series, the concepts will be clearer.

Introsuction to the Big data was too boring. Please reduce the theoretical content to make it interesting. Week 3 material for Hadoop is awesome. Loved playing around with distributed file system for the first time