This course is much more difficult than the previous courses in this specialization, which is exactly what I was looking for. Being able to research libraries, translate & externalize thoughts into code, and trouble shoot and fix bugs in a self-sufficient manner are all on the critical path to becoming a qualified programmer. You will likely invest a lot of hours in to the final project but your will learn and grow. I am giving this course one star less for the crappy Coursera code uploading system.

Compared with the four previous courses (part of Python 3 Specialization by U Michigan), this course is much more difficult, require ones to be proactive and deliberately learning. Unlike those four previous courses, the lecture videos never show the lecturer's face - instead, lectures are written in the Jupyter notebook as comments (I don't think this is a good way of presentation). But overall the materials in this course is quite interesting, introducing ones to Python image processing libraries.

It's a challenge course. Two things, I think they could be improved. First, when you want to show something to learners please don't do it at the bottom of the screen since the subtitle will be shown there too. Second, Jupiter notebook on the website is too slow especially for the final project. It took me more than half an hour to run my code each time. I tried to find a better way. I made my IDE in my local PC but when I tried to download images.zip, the file transfer rate is very low too.

This course is very challenging. Be prepare to do alot of outside research to complete the projects. The instructor will just give a brief introduction to the packages and expect you to read the documentation to figure out the rest. I am only giving a 4 stars not because of the difficulty but because the environment provided is too slow to complete the project. I suggest installing Jupyter and the needed package on your local environment to complete the projects instead.

Quite a change from the other modules in the speciality. The assignments are less structured than in the other modules, and more self study is required. I think that this is the main point to give students a greater experience of looking online for docs and examples.

The instruction does cover the areas required for the projects, and some additional modules that are not required for the project.

Jupyter notebook is quite different to the previous workbook.

This course is more challenging than last four courses, however, you could finish it if you remember all stuff that you learned. I think it is really helpful for develop another skills as programmer, for example: search documentation by yourself and face up to problems related with packages, etc. In general, I really encourage you to take this course if you want a challenge and learn by yourself.

The course has good content. It will help students give an idea what it takes to start using new libraries and packages in Python. The project was interesting as well. One thing I did not like was the submission format for the last project. Copy-pasting code was not a great way to submit the assignment. We could have submitted an HTML or a PDF file like we did for the first project.

Great course, material, and challenging project!

My only complaint is that I could read the notebook notes and programs without going through the lectures. Professor only read the comments of the material so after a few minutes I skipped most and just went to the material.

The notebook programs and Google are your best allies to complete this course!

Overall, I am very satisfied.

I enjoyed a lot the content of the course, it provides tremendous content and useful Python tools application. I was not able to connect with the professor methodology though. This is the first course I take from Christopher, l look forward to continuing learning from him at the applied data science specialization.

This course challenges students to apply what they learned in the specialization. However, I thought the final project could have been designed better (it was purposefully vague). I would have liked a better description of what to develop. Instead, instructors choose to use hints and forums to guide students.

Although learning image processing packages are useful, they are not of importance to me. Also, this course made it very difficult to submit final project. There is very little support from instructors or teaching assistants on the discussion forums. Needs to do a better job.

Course Could have been More descriptive. The content lack somewhere, i understand the fact that this was mainly focused on ability of students to explore the libraries & work their way out but its kind of difficult to understand. yet i like the concept & its well prepared.

The course was interesting and I liked the idea of the last project BUT the platform was unusable for this kind of project. I had to extract the resources and to do it locally. The peer to peer verification system it's slow. I give a solid 7/10. I don't regret taking it.

Very difficult to follow through. My suggestion is to move at a much slower rate where students can grasp the whole video clearly. You can increase videos and clear the concept part by part slowly. Lost interest in almost every video.

Easily the weakest course of the specialization, but still very strong. Very project/independent oriented, so be prepared to work in this one.

Final project submission is not well implemented. Coursera should fix the horrid text box.

The lectures were good and the examples were helpful. The assignments were very difficult compared to what was learned in the previous courses and in the final courses. It was a big jump from course 4 to course 5.

I thought the course was very interesting and well structured. I really enjoyed it but the platform Jupyter was incredibly slow and the submission format of the final project was a bit silly

la semana 1 puede mejorar, el formato es incomprensible, y no se explica bien el uso de la función para modificar los canales RGB, el resto del curso es muy interesante y se aprende.

M​y first ever course in coursera , it give me a good impression i like it

i was a little bit worry from the reviews but the course was actually great

It was a more challenging course than the previous ones, which is good, but the Jupiter notebook environment was a little difficult to work with

You need to search for some stuff yourself, the difficulty level petween previous courses and this one is very significant

This course is not holding your hand anymore, like the previous ones in the spec, but pushes you out in the real world.

The final project should have enabled .html or .pdf submission. And the response time of the server is pretty slow.

Great course! Final project had bugs in online component - better to download course content and run locally.

Its a nice and short course where you apply some previous knowledge and discover some new libraries.