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

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.

It was difficult to understand and boring to watch lectures from the teacher. And I feel stupid)

the final project created a lot of trouble both at running time as well as submiting time.

Submitting the last project was so hard. The workaround provided did not work for me.

Not much details on the course but good for starters in the field of computer vision

I think the course have a lot of basic python programming. It's very useful for me

Assignments are very challenging. The mentor should give more focus on teaching.

Should have been a more detailed lecture. Covering things more slowly.