This module introduced a lot of technical knowledge and theory around Graph Analytics. I understand there is great value in Graph analysis but I got a bit confused with so many examples, programming languages and many technical terms. I think Graph Analysis should be a specialisation on its own.

Maybe the best course of all the specialisation. Good balance between theory and hand-ons. I would give the fifth star with more details and explanations in some hand-ons (mainly the ones from the last lesson). In summary, a good introductory course to graph analysis.

The concepts are brilliantly taught but the technical part that was programming was rushed through and not explained step by step. This is probably out of scope for this course but would have been good to get a little more technical training

Good course overall for concepts of graph analytics.Too much time spent setting up and going through the hand-on exercises. What I feel is somewhat lacking are use cases for relating how this could be used in normal business.

Seems to give a great high-level overview of graphs; I learned many terms and concepts about graph analysis. I also liked the hands-on-experience with neo4j---its SQL-like syntax makes it quite easy to pick up the basics.

I like this course a lot, but with the amount of theoretical and hands-on information included, I recommend that Graph Analytics be stretched over more than 5 weeks, or be broken down in 2 parts, each with 4-5 weeks.

I have learned a lot from the course and this is the fifth of my specialization and I am absolutely sure that I can apply everything I have learned in the course to solve big data graph usability problems.

the content is difficult to understand. the explanation and instructors are very good. I think that the Graph content itself is complex. congratulations anyway. I think you guys made the possible best.

Interesting course but Week 5 was exceptionally buggy. Is that on purpose to help us learn about small errors that can creep in OR has the course not been updated for quite some time?

The course content is pretty good but the instructions provided are not up to the mark nor are they updated hence I personally faced a lot of troubles during my time of completion

Generally a good course. However, the last week was just a "look and follow" week. The only thing I take from this week is that things are possible with Spark, but that's it.

While the content of the course is highly relevant .. it seriously needs an upgrade and content revision since it is almost 10 years old in a rapidly changing environment

Very good material, very good Neo4j hands on for new comers. The critique goes to the coverage of GraphX hands on which, at least to me, is not explained clear enough

Graphs are quite interesting and in many cases offer a better representation than relational databases.

One can gain lots of insights looking at graphs.

very large and to some extent too informative in nature. requires full time classes to understand these concepts specially last parts.

a course focused on enhance basic skills supported with very good tools. If you want to learn, this course will be as good as you work

A good topic to continue building upon big data with Graphs, however Week 5 needs some more understandable examples and exercises.

Very interesting class, large applications possibilities, unfortunately the hands on machine wont work properly

Skims the subject in some cases but overall very good, I enjoyed the Neo4J class it was very informative

In this phase i could able to know analytics how it is helping big data and it's graph analysis.

Great Course and Lot of learning.Best part was the detailed description and explanation of Neo4j

It started well, but it became a little hard when Java came in. Apart from that, it was great.

Nice course! Really nice lectures but the labs could have been a little more challenging.

Very sound course with lots of information to digest. Just enough for "lift-off".