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Great content but hard to follow at some point. Lab is very unstable. Final peer review project is not appropriate and did not use the most common data visualization techniques

Some task requirements in the 1st part of the final assignments are not consistent and clear. It is even not coherent. Some hints and template solutions have the same problem.

I think the final project should add more difficulty and tasks. Or provide the option to choose the difficulty level base on the learner's python and data science experience.

Challenging is good ! But the instructions weren't that clear and I really had to employ myself to earn this one. Proud now, but with some headaches (and coffees at night).

The assessments are a little silly- the quizzes trip you up on minor syntax instead of being concept-focused, and the final assignment used some skills that weren’t taught.

1) Quite a lot of contents of the final assignment are not covered in labs/videos

2) Huge portion of videos is redundancy and repitition

3) Labs cannot be exported to HTML

The instructor provided lots of useful code, but the final assignment is unnecessarily difficult because the required code customization was not covered in the course.

Course was pretty good, except... The final project was too much of a stretch, had to google too much to figure stuff out that wasn't in the lectures or practice labs.

The lab excercises are too time-consuming, for reasons unrelated to the course material. I found it hard to simply run the programs in the development environment

The final project needs some review and updating. It was a frustrating couple of hours to try and get it working. I finally got it half way working and gave up.

The course starts out great with some insight into Matplotlib but gets very hung-up on Cognos and Dash and approaches something similar to Java web development.

The final assignment required knowledge that was not thoroughly explained in the videos and labs. Some of the practice labs could use more/better explanations.

dash components have been depracted and yet this course hasnt been updated , some parts are hard and too much of a jump in final project in terms of difficulty

Overall a good review over the different graphs, yet the course feels wonky in the flow of this courses covering stuff already studied and staying on surface.

week 4 - no outtput received in dashboard in new window plus only errors received in jupyter notebbok even after copy paste of solution in entire week 4 labs

MIxed quality of the videos / labs. I found the labs about Matplotlib in Jupyter excellent, the part regarding Plotly and Dash were not so well explained.

Final Assignment covers many aspects that weren't explained in the classes. Meanwhile, every video repeats the same data management segment over an over.

I am disappointed with module 4 and 5...I have the impression that this course was done by an external Indian service provider? skillup.online ?

Some of the content tested in the assignment is not covered by the lessons, staff is not fast and helpful in answering questions from students

Great course, very bad exam. Most of the stuff in the exam was impossible to do using the classes. Level of the exam was way too difficult...

Labs are very difficult and hard to follow. There is a big gap between what we learn from the videos and what we are asked to do in the Labs.

The topics were not discussed in enough detail. It required me to do a lot of additional research online to actualy understand the concepts.

The final exam is way too frustrating as some content isn't covered in the course, especially about modifying the key for the last question.

There some information gaps in the labs and lectures that made the assignment quite challenging without seeking further external knowledge.