A very well explained course and problems are challenging. A lot of formal mathematical proofs which I find useful and frankly easy to follow. After relaxing deep learning classes from OpenAI, this course seems like a greater challenge but well worth it!

This class got me a job! Job interview asked me a bunch of graph problems and after just taking this course I was more than ready to answer. I was the "top candidate" they had ever seen so they say (I have my doubts). Worth the time and money.

I enjoyed this course through Week 5. The lectures were good & the assignments reinforced the lectures are were do-able. Week 6 was too challenging & time consuming for me, but since it was optional I won't complain about it too much.

Brilliant course material. Sometimes the formal proofs can get boring, but that's the maths part of it for you! Programming assignments are super important to do honestly if you want to glean every bit of information from this course.

For me this was a refresher. And it was an excellent way to explain and work on graphing algorithms. The step-by-step explanations of the algorithms here are great for truly understanding what's going on under the hood, so to speak.

Great course, loved it! Maybe a bit easier than the previous ones in this specialization, or maybe it's just because I started using python(compared to java and c in previous courses). Anyways the course was fun. :)

The way the prof. teaches is really amazing . I got all whatever he said and i really enjoyed the course.

Thanks to Coursera team for putting up this course for begginers like me and special thanks to the Professor .

Lectures and their slides are terse but very to the point, and structured well. Assignments are amazingly interesting and challenging, especially optional ones for the last week - highly recommend doing them.

Awesome! One of the rare courses that teach everything about Graphs! From the very basic to the very advanced. Together with programming assignments that accommodate almost all available programming languages!

Отличный курс, содержащий все необходимое для освоения обозначенных тем с разбором разумных примеров реальных задач, в которых анализируемые алгоритмы могут найти свое применение. Спасибо огромное авторам!

Excellent Course for anyone looking to expertise Graph Algorithm. Professor's explained each problem and algorithm in a very easy to learn approach. Grades are tough and yet func to get challenged.

I got a lot of knowledege about the algorithms on graphs. The assignments will be a little difficulte for beginner of computer programming but for others this course is worth to join.

Professor Daniel Kane is very knowledgeable, I however think the course could have been better presented but the assignments are challenging which is the best part about this course

very well planned course and fairly challenging assignments. Would recommend this to anyone working as developer who does not have formal education in data structures and algorithms.

Good course. Really enjoyed attending Alexander Kulikov's lectures throughout the entire specialization. His lessons are really easy to understand with lots of visualizations.

I thought algorithms on graphs were difficult to understand, but following the instructions I could comprehend them.

Like previous courses, programming assignments were good .

Explanations were as clear as possible. The problem sets were nice enough. It would be excellent if some advanced topics (like Flow) could be added to this particular course.

Very interesting course. Good videos, Good notes.

I did not use the forum but I think it can be useful.

The projects was interesting and challenging for the 2 last week .

This is my favorite course in the specialization, the lectures are really clear and the programming assignments are fun and really help to deeply understand everything

The assignments are much rich!!! anyone doing the course, i would recommend to most focus on being able to write codes of the assignments via soldi understanding ;)

I've wanted to learn about Graphs and the algorithms associated with it for a long time, and I cannot imagine a better course to learn it from. Thank you?

This course is very well designed, starting from basic concepts and thoroughly covering all Graph relevant Algorithms. A big thank you to all Professors.

It was a great course with great illustration, but the best part of it was the proof of correctness with detailed steps of time complexity computations!

Loved the explanations and proofs. They are so explicitly told. And the discussion forum for you well assorted problems in assignment is really helpful.

So far my favorite course of the specialization. The learning path is really smooth and the lectures and programming assignments are to the point.