AK
This course was really helpful in basic understanding of big Data and Instructor's appearance on screen was like we are taking course in classroom session which made the training more interesting

Drive better business decisions with an overview of how big data is organized, analyzed, and interpreted. Apply your insights to real-world problems and questions. ********* Do you need to understand big data and how it will impact your business? This Specialization is for you. You will gain an understanding of what insights big data can provide through hands-on experience with the tools and systems used by big data scientists and engineers. Previous programming experience is not required! You will be guided through the basics of using Hadoop with MapReduce, Spark, Pig and Hive. By following along with provided code, you will experience how one can perform predictive modeling and leverage graph analytics to model problems. This specialization will prepare you to ask the right questions about data, communicate effectively with data scientists, and do basic exploration of large, complex datasets. In the final Capstone Project, developed in partnership with data software company Splunk, you’ll apply the skills you learned to do basic analyses of big data.

AK
This course was really helpful in basic understanding of big Data and Instructor's appearance on screen was like we are taking course in classroom session which made the training more interesting
VG
Nice course to describe the traditional data modeling (RDBMS) as well as various semi-structured and un-structured data modeling and management of the systems (Batch and Streaming data processing)
EK
Assigments would be more complexity but for a beginner they are enough to understand framework. More code practice should be presented. They need to be repeated to remember of syntax
PT
The course was the best introduction I had for machine learning. Helped me a lot to understand different concepts from people who already know about the subject and I didn't have any idea.
LK
Gives wonderful overview and hands on experience Graph analytic. Course Contents were very crisp and pretty comprehensive for a novice.
RA
This has been excellent Learning experience.Instructor and fellow members shared their valuable information during the course of the Learning and Capstone Project phase.
SS
Great Content with very precise approach to teaching . One could easily;y relate these complex terms to everyday lives and see clear use cases for big data . Good course to begin a big data journey!
KK
Good Course! Explain a lot about the Modeling and Management System in Big Data. Also, give practical experience in Big Data Management and play around models
AP
Some of the lectures seemed slightly lesser quality with regards to the materials. For moocs especially, I would like to have the lecture better documented in order to download and review later.
LB
This is by far the most enjoyable course of the big data specialization, i loved the teaching approach and enjoyed all the hands on exercises. Great job!
LS
Nice introduction of multiple graph packages, however I missed some more applied cases, covering a real graph problem investigation (particularly how to associate Neo4j with GraphX).
VP
I only realized how good this specialization was when I took a course from another university.
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synacktest
I think the course could be shorten by half. The instructors extended the course into 3 weeks, but I think the real meat can fit into just 2 weeks. They use too many examples and several similar case studies to make the same points about why big data is important and beneficial -- repeatedly.
I know why it is important, that's why I took the course! Just give a few mins intro and move on already.
They even have a session discussing why should learn basic tools and theory and have a quiz about that; A quiz about why should you learn how to add and subtract before using a calculator. They can just explain once and people would understand.
Anyhow, I feel like I learned quite a lot, but those I can do my reading just first chapter of big data book or watch 1-2 YouTube tutorials.
Should not waste so many hours watching the course.
The course provided almost no value , and there was almost nothing covered that you couldn't find online for free. The presentation was probably the worst part of the course: It was extremely boring and made it hard to get through the videos.
I didn't expect much practical parts in the course, but there was even less than what I expected: What was described as setting up a hadoop cluster consisted of downloading a preconfigured VM image and running it, and then typing in a couple of commands that were provided to you. Again, nothing of value was added, and quickly going over the FAQ page of any of the products mentioned would be more helpful, faster and a lot more interesting.
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.
A step by step approach stating from basic big data concept extending to Hadoop framework and hands on mapping and simple MapReduce application development effort.
Very smooth learning experience.
The intro part is too long. You will not start with the practice till the end of next week and I find that the lectures and videos by then are a lot less complete even when the content is harder. I would have prefer is the theoretical part was shorter and there was more support when we start learning about hadoop
Very interesting course. Explained concepts I'd heard of but didn't really know about. It is a foundation course for a specialization, it's not enough by itself but very good as a foundation course.
The general concepts of big data (week 1 and week 2) seemed a bit drawn out, much of the same was repeated over and over again. This was not necessary. The peer-graded assignment needs more detailed instructions - like mentioning that it is ok to resize the fields, and that shapes need to be copy/pasted as much as needed.
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.
I have participated in better courses on Coursera. I think the power point presentations are very very ugly. The colors really don't match well. This could be a lot more visually appealing. Also, for self learners, a bit more text would be cool, even though I know that not having too much text, but rather pictures, is beneficial. The presenter could speak a bit more natural. At the moment, it is very obvious that she reads text aloud. Also, there need to be some more FAQs in the practical parts, because there can be quite a few problems when trying to run mapreduce. I was only able to do it using Google, because I also had to install another hadoop version (5.12.) because my Intel Chipset was not compatible with the version you wanted me to download. There, the file path to map reduce was different from the example you proviided. To be honest, I did not check the Discussion Forums because I was not aware there were any. Maybe I could have gotten help there.
The course content is okay and covers the basics well enough. However, the assignments are structured for memorization not learning and contribute little to the experience. I decided to cancel my subscription as there are better options on EdX and other Coursera courses.
The course material is 2014 or 2015. it needs to be updated as this is a fast growing field.
If you are looking for a specialization that teaches you how to make your life miserable with tool installation problems, you came to the right place. I endured until W4 of the 3rd course before giving up. I spent most of my time debugging installation scripts that are badly outdated and broken. The forums are full of messages from students who are all running into the same issues but mentors are nowhere to be seen.
The lectures are extremely boring, barely scratch the surface and keep jumping around. Nothing you could not find online for free. The hands-on exercises just consist in running a couple of trivial commands. Sadly, I feel like I learned virtually nothing.
This specialization, at least for what I saw of it, is a disgrace to Coursera.
Less useful than reading an introductory chapter. Being able to reiterate acronyms or idiosyncratic mnemonics does not demonstrate any real understanding of this field. The minimal information provided and low level of the instruction at least clarified that this specialization is not worth pursuing.
This was absolutely useless. Lots of definitions with no motivation. The one saving grace is that the slides are comprehensive.
Too much theory, got bored. didn't serve my purpose. I completed some how.
Perfect for starters!
This course gives a basic view for Big data Analysis through introducing much information in the subject "much theoretically at the beginning and then become more piratical using basics of Hadoop program"
Merits:
excellent overview of the Big Data's concepts
gradual teaching techniques
having flexible time viewing the vids
Needs of improvements
Quiz need to stick on learning objectives (for example: instead of asking about Amazon or other companies practices in some area (which was included as an example), questions need to be practical on other non-mentioned companies.
The course has a deadline (one week after the week 3) it should be extended more
some videos are not directed to the point and much details are asked in the quiz
Some IT concepts need to be explain more (like in the last videos) because for me I'm ZERO IT experience
I had a good overview for the topic because I'm applying myself for Master in Big Data without having a single IT background
One of the best course to start learning new cutting-edge technology and to get deeper insights into Big Data. Thanks to the great instructors for amazing explanations of each module and e-materials.
Definitely learned the fundamentals of Big Data. Very well structured course and very informative. The course is a bit too easy. More challenges would have been nice.