Quizzes are too easy. No evaluation of actual code.

There is a lot of great content in this course and I believe the authors really want their students to learn the material, but the videos could be made better (make them with a real person explaining the concepts) and the labs could be more descriptive with the concepts and the authors should explain their code better. Also, there was a ton of typos, mistakes, or errors in the labs which is very annoying / frustrating. When you see these typos or mistakes it really makes you question the authors, IBM, and the material in general.

Doesn't anyone proof read the labs before they're published? Or are they just rushing to push out content?

The course included a lot of very useful information. Thank you for that! Unfortunately it is also full of mistakes/misinformation. Every time I was about to report those errors, I found out that they have been already reported in the forum. And usually reporting had happened several months ago so that left me wondering how it can be that the mistakes are still there. So far I've been participating two other Python/AI courses by IBM and they were 5 starts. For this one, unfortunately 3 stars is best I can give with all the unfixed mistakes..

The general course content was okay. Unfortunately I didn't learn too much about Python and Data Analysis for Data Scientists. This was due to the following reasons:

1) a lot of interaction with not working IBM infrastructure. It took me around 3x as much time to get required things working on IBM cloud and IBM Watson compared to the time spent for actual assessments. It is annoying if it's getting that obvious that IBM wants to use the course to promote own products. This is sad as we all already pay for the course...

2) There occurred quiet some arrows in the labs which even after months (according to the discussion) have to been corrected.

3) The amount of hands-on training in the notebooks/labs was really small. It was not a lot one had to program on their own and the parts which had to be programmed were only an exact copy of what was already done before. Even the final assessment did not really contain a real task.

4) Many concepts weren't explained in depth. The explanations just stayed very superficial. Some concepts like fit()/fit_transform() which appeared in the labs weren't explained at all in the videos or in the labs. This led to a lot of confusion as could be seen in the discussion threads.

As we all pay for this course please increase the amount of actually explaining concepts in depth and the amount of real in depth hands-on training and reduce the parts on IBM Watson and other such stuff. Thanks a lot!

The topic is very interesting, but the execution was poor. Code and numbers were just being read at me, instead of focusing the recorded lectures on teaching concepts and troubleshooting, and leave the code to be read by myself in the labs. Also, the quizzes along the way were nearly useless: only two questions, a "pass with at least 50%", and the questions asked were very superficial. This is the most poorly executed course I have taken on Coursera so far.

Course content is very poor. Not clearly explaining each & every thing in each slide. Disgusting

The instructor does not explain the codes at all. She just rushes to finish the videos!

Nothing explained in course, nor even exercise for practice any good

the explanation isn't good

Not well designed at all.

explanations are lacking

Really intensive module. Be prepared to learn a lot here. You'll be diving into real stuffs that wil ask you to listen carefully and understand the matter. My advise is to take note of any points that you are not comfortable with and make additional research on google/youtube to become friendly with it.

One of the top module i've complete so far on Coursera. Full of usefull, meaningfull information and knowledge.

Great course, that builds up and ties together some earlier parts of the DS certification. It helped me to understand the process behind developing a model and then later evaluating it. Solid introduction to analysing data with Python and I look forward to applying the skills I learn here in the applied capstone project!

Really great! Tons of information complemented with exercises. To deal with the amount of material, I suggest following the labs very closely and doing a bit of research in the Python documentation avalaible online. I have to say you really hit the core of the matter in this course!

I liked so much that I solve more short test because it helps me to remember information easily and guess it allowed me to perform better. It's the first time I get 100% three times in final tests of each week.

The courses from IBM on Data Analysis, Visualization, Machine Learning are great. I am in an online M.S. program, and the material from IBM is lightyears ahead of my university material.

I have been looking for a very non-complicated course on data analysis and I hit the Jackport with this course! Very simplified and explanatory. You should definitely take the course

Great course. I had fun having a kick start in the field of data in machine learning. I understood the concepts related to how to improve the model.

Thank you

Great Course. Amazing Work By the team. Concepts explained clearly, followed by the week end quiz to revise. The Labs Do a great work in helping out

helps me a lot! FYI I was new to data science and programming language but this course helps me to understand business analysis with Python!

Covers a lot of ground but the Python Labs are great at bringing everything together.

A very complete course of Data Analysis.

Tough but useful.

The course content is definitely interesting, but the approach is superficial. You will get a broad overview of the keyword to search for, and what is available in popular Python packages. However, the quizzes are way, way too easy. The course needs a final "open" assignment, where you have to use the tools without being guided along the way. This is the only way to truly learn.

Course was great but it had number of errors and typos, that per my experience and other attendees caused some confusion.

I am sharing so it could be improved as it is a dream come true for myself to gain this valuable knowledge as conveniently as possible.

Thank you.

Mahvash Nejad