Learning Data Structures and Algorithms (Udemy.com)

Explaination of the algorithm and psudo code is very nice , but later the course runs very fast, no application of algorithms are given as practice problems. no coding tutorials or quizes present in the course

There is a lot of theory mixed with some pseudo code as examples. The content is useful to a degree, but for someone completely new to these concepts to really grasp the material this would need some real time programming examples. Then again that could easily double the scope and duration of the course.

Most detailed course about Data Structure & Algorithms in Udemy. But it runs on mostly theorical areas. Need more exercises. Need to touch real life samples. Some times pseudocodes becomes very hard to understand. Need extra explainings... However, this is a good course. PS: Course is more about algorithms then datasctructure.

The content is excellent, but the presentation could be improved. For example, it would be better if the speaker would read the text on the screen (at necessary times like algorithm definition) rather than paraphrase. It can be distracting to hear him say one thing while trying to read another, though both are conveying the same information. It would create a more coherent audio-visual experience. Also, the pacing could be improved by adding a bit more pauses between concepts/phrases. Otherwise, the content is great!

The instructor is knowledgeable about the subject. Demonstration on a computer of real implementation of some algorithms ( trees to network) during lecture is appreciated.

Awesome Job explaining complex algorithms, I would like to see more visual example on some of the algorithms (A Lot of them have, but not all of them). Also would be great If you could se 1-3 languages implementations of the algorithms.

The instructor is very on point and direct when explaining algorithms and/or their uses. He talks a bit too fast which can make you miss the point. The microphone quality is very clear, his slides are very self-explanatory so you can review them on your own as well. It's just that during the videos he could've explained topics a bit slower and maybe with more examples. But next to this the course is very good and I feel like I am learning a lot very quickly.

Incredibly in-depth, and while sometimes the math can be a bit hard to follow, very useful. I have a much better understanding of why to use specific algorithms than I did previously. Additionally the teacher keeps a nice pace and speaks clearly.

The content is great and it has plenty of information. The instructor also knows what he is talking about. The only caveat is that you cannot expect to understand all topics thoroughly just by watching the videos. Many topics are assumed to be known, including mathematical terms and concepts. There are just a few practical examples, so sometimes you will have to come up with real situations where you would need to "add a number to the middle of a linked list" for example. It also seems that the instructor is in a hurry to make the videos short, so you don't have enough time to process what he said, and need to pause and go back several times. Therefore, the best way to make a great use of this course is to have plenty of time to pause the videos and spend a few hours looking for more resources on the topic you're watching (in books or online), finding some examples, and practicing them in code. If you do not have enough time to dedicate, I'd recommend other summaries on the subject, but if you do have time, this is the right course for you.

A great course for a self-taught programmer like myself. The author describes quite a few interesting algorithms and supplies the explanations with illustrations which help a lot with understanding the material. Also the author covers most of the questions I've been asked on interviews, like which algorithm works best for which situation and so on. You don't even need to have deep math background to follow (be prepared to google from time to time though). So if you're considering whether to take this course or not, consider not and simply take it, it's challenging but rewarding.