Yet another excellent course... My prior reviews were so ravingly positive that I now feel compelled to offer a very minor area of potential improvement: Dr. Chuck might have considered going a bit deeper into Geojson API and perhaps even done a second API. Also there were some glitches in the Geojson assignment: My python Spyder was left frozen a couple times before I got things working.

I understand that some students would have complained due to the length of Week 6, but if you requested the simple first assignment completion after the first 10 minutes of video lecture, you could have snuck in two concrete API assignments later on. Also, you could have had a Week 7 with the second API and alternate Web Access assignments. In sum, I was left wishing I had a bit more API experience.

Nevertheless, I give this class 4.75 stars, which rounds up to the usual 5 stars. I've completed three of Dr. Chuck's classes and I'm on the fourth. Dr. Chuck is the incarnation of the super MOOC professor. Long live Dr. Chuck!

Disclaimer: If you're taking the Python for Everybody Specialization, I HIGHLY suggest starting the Python 3 Programming Specialization (also University of Michigan) after completing the first two courses. Get to Week 2 of Course 1 in that specialization and then start Course 3 of Python for Everybody.

I really appreciate the University of Michigan and the staff involved in providing these courses.I completed the first two courses of Python for Everybody and started the Python 3 Programming Specialization (another University of Michigan specialization) before taking this course.Unlike the first two courses in this specialization, I do not feel like I've committed the code to memory. Especially when it comes to XML. I can comfortably talk someone through the steps of working with XML/JSON, but would likely need to look up the syntax to code it (which I hope was the intention of the course).

The course teaches the basics of how to interact with the internet using Python. The course is simple, well explained, has great interviews with people who were part of the creation of the internet.

Great course for introduction to parse Web Data. However, google map and twitter API seems to be changed a lot, so those examples won't work any more. It took me a few days to figure that out and felt a bit stressful. Hope re-recording take place soon so that many other students would not stuck there.

I think that the average user will be overexerted by the complexity of this course after week 4. You have to consider that most participants barely have experience in programming at all and I am pretty sure that some will get lost, lose interest and definitely will not be able to reproduce this kind of web scraping for their own projects.

The step from scraping through simple HTML to using libraries and APIs was too much in my opinion.

teaching staff.......no good, helpless

Professor Severance is awesome. I really like how each video is an in-depth look at a specific example and that he tells you what to ignore and when. I think his sense of what's important is spot on as I've already started to apply some of his lessons to personal work and find that as I work through personal projects, the next question I have is usually covered in the next lecture or soon thereafter. The videos build on one another in a very coherent manner and the assignments are applicable to what you learned. I think the assignments could be a little more challenging and that more references to the book should be included in the lectures as the book is also very helpful and a great primer for each week's material, especially when it comes to understanding parsing XML and JSON more. I think more chapters on this in the book could be very helpful though.

This course was really interesting and did a good job introducing complicated topics in usefully simplified form. It was a pleasure to listen to the instructor and I got everything I wanted out of it.

It's not that easy like previous two courses. But I'm glad that I had a little bit idea about regular expressions, networking, xml and REST before starting this course.

This course is very good except the API part. I think they must upgrade this part and elaborate this concept.

Compared to other Python Courses I have taken this is course has no meat on them bones and is NOT worth $80 at all even for a certificate. However for FREE? ok. Worth the introduction to some useful tools. Spend your time and money on a more valuable course like Fundamentals of Computing Specialization, which is awesome, and is about the same price as of this writing.

This course offers no challenge, little content, and the assignments let me down. Assignments are basically handed to you where you only need to alter one line of text to get the right answer on what is supposed to take an hour.

Introduction to Interactive Programming in Python thru Rice U has content and weekly mini projects that really push your learning ability and after taking the courses, I felt like I really got something out of it.

This course barely scratches the surface of "Accessing Web Data" and does nothing to challenge your coding skills. The positive side, it introduces you to Web API's, the basics of Beautiful Soup, and other BUZZWORDS. At least structure assignments to combine all of the efforts learned in previous chapters onto one another.

Side note... what is the professor doing filming lectures on vacation or at lunch? This does nothing to add to the content of the course and is distracting and unprofesh.

The meaningless assignments let me down.

After finishing this last part of this Specialisation I fell completely frustrated and agree with other feedbacks in this list. The first part of this Specialisation was really inspiring and I feel that learned a lot. In parallel to those courses, I was able to apply the knowledge acquired in the Py4e to learn Matplotlib, Pandas and Numpy and I was very excited applying that learning in my own research.However, this last course, ‘Using Python to Access Web Data’ was ridicule difficult. The exercises were impossible to my knowledge and understanding. There must be something wrong, since I was able to complete the first courses. The exercises were always challenging, but I was able to accomplish them. While the first courses I was able to understand and find the sources on the readings; this last one was awfully dispersed. I simply didn’t understand the codes, the structures and how to parse the information.While I was exciting discussing and suggesting those first courses to my colleagues. Sorry, this last one I cannot recommend, since I did not understand the codes. I am really sorry for this feedback; but I know that I gave my best and I was unable to enjoy this course. Now I feel that I need to search for another course to learn how to access the web with Python.

This course is really really challenging if you only took the first two courses before this. The tests are quite hard to get. there are many moving pieces and it is hard to know where to begin with. I tried very hard to understand the lectures but i would say it just doesn't help with the tests.

I wouldn't recommend to beginners like me. but if you know python for a while maybe that's another story.

Course is not organized properly. Enough detail is not discussed for some parts. Especially for the parts on Beautifulsoup. Some information is just provided in the links in slide with no reference to whether it is optional to check or not. This course would be good for someone with prior knowledge about JSON, XML and HTML.

need more clarification, the instructor suppoised that we have a solid background in this area (access web data).

I am very disappointed from this course.

Average at best. The quiz for networking may be the worst I have ever seen.

I was expecting them to ask me if you could be an animal what would you be?

The reading materials and lectures were straight-forward and easy to understand, but the assignments were very difficult and caused me to dislike

Not enough relevant material was covered for completing the assignments

REST APIs and week 6 lectures are extremely hard to comprehend.

too hard

I thought the content layout for Courses 1 and 2 were okay. However, when I got to Course 3: Using Python to Access Web Data, I was extremely disappointed. This specialization is advertised as one does not require programming experience. Course 3, however, introduces a variety of computer science topics that I believe cause information overload for a beginner. A student is bombarded with information about regular expressions, the HTTP protocol, web sockets, URLs, HTML, XML, JSON, and APIs. In fact, the video lectures spend the majority of the time explaining these concepts, while spending very little time explaining how to use Python to access web data. The corresponding book, Python for Informatics, was of little help understanding the assignments. Like the videos, the book lacks sufficient numbers of examples. The few examples that are given lack adequate explanations of the code they contain. I found myself on many occasions asking, "What exactly does this line or block of code do?", and could not locate the answer. If not for the forum, I would not have been able to complete th

Not as good as the previous courses in this specialization. There are many aspects that one needs to know before applying for the course.

1. If this is the first course you are taking before taking any of the previous courses in this spealization then you should probably think and might take the previous ones. Since this course consists of some topics that are discussed in the previous course.

2. The explanation Is too short and I felt it is rushed and not proper explanation is given in some of the topics.

3. There are some good assignments , I was able to do some of them on my own without taking any help based on the explanation and videos . While most of the assignments are difficult since proper explanation is not given .

4. In most of the examples of solved programs instructor does not show the full detailed solution and explanation since the topics is been covered in the previous course. (The typical "You have learnt this in your school " so I m not repeating types)

At the end I felt that I have not gained much knowledge from this course and just completed the assignments.

The pedagogy of this course is disappointing because of a lack of sequential instruction. Large gaps exist: explanations of syntax and conceptualization of how the data flows seem incomplete. I have looked at all kinds of documentation as well as the book, but I cannot find what I need to know, and this a barrier to completing the assignments. The instructor's videos have shown me very little of what I need to understand the concepts. The examples show at most 20% (that is just a guess, it is probably less) of the knowledge that I need to complete the assignments. When I ask questions on the forums, the first word I think when I read mentors' explanations is "cryptic."

This course is garbage. The instruction videos are fine, but the assignments are imprecise in their language at times, and there are certain key points needed to complete them that aren't covered in the videos. The mentor in the forums is lousy, and his responses are worded as if he's talking with a peer and not a beginner/student.

I may or may not try another coursera course after this. But if this experience is any indication, Coursera isn't very good. The same UofM course appears over on Udemy, and I wonder if it is just being repurposed on as many platforms as possible without the care needed to make sure it works.

No teaching. Just a guy talking and sometimes complaining about imaginary students' hypothetical thoughts. Do the problem sets for practice. If you need help, pause the videos and try the code out yourself.

Seriously though, a programming course where the teacher is not actively type out the code but just scribbling around it. He doesn't work through code but talks around the concepts.