Sorry. I have really tried to do my best to go through the project, since I appreciate the efforts of the instructor. He really tries to do a good job introducing a complicated topic in as simple fashion as possible. But... I have managed to finish just 3 steps of... how many? 12? Why so? Stay tuned guys (c) At step 1, I have noticed that the instructor does not follow the PEP8 guidelines in the code formatting. Ok, we'll live with this (even though it is stated that basic Python knowledge is required for the project. and PEP8 is among the first topics to be introduced...) I am not an expert in Python, just trying it as hobby, but even I see that the spacing in the code is ugly. In step 2 (mini-challenge) - the task says to generate the random numbers starting at 0, yet the answer given by the instructor puts 1 instead of 0. Well, the idea is still understandable, let us go on and excuse this glitch (this is not a typo, since it is also being said). By the way, "the basic knowledge of Python is required" - why not show here how to treat incorrect/erroneous user input? Would be just elegant, in my view. Then, in step 3 the instructor uses "sum" as a variable name. What the hell is this? Even the IDE showed in color that something strange was going on... By the way, the sum function should have been used just a few lines later (but it was not used - see the next item) - I am excited to see how surprised the instructor would be by the traceback to appear. Finally, in mini challenge 3 the "distance between two vectors" is calculated as the square root of element-wise sum of the vectors squared. Uffffff... Just before this task the instructor has encouraged us to go google what is the distance. I would love to see the definition which he has finally used for the 'official solution'. Basically this means that a distance between two vectors is a vector (???), and if the vectors are equal, the distance in nonzero (???). Sorry again, but I have had to stop at this point. At the end, this guided project is paid for - do I pay for killing my brain? Ah, and by the way, having passed 3 steps of 12 with the instructor, I have managed to answer the final quiz questions using a single attempt and about 3 minutes. Nope, I am not a pro - just yesterday I installed pandas and numpy on my PC. So, even the final quiz is so poorly planned that it required nothing from the guided project to cope with it. Once again, thank you for the attempt, but so far I would grade it with negative mark if it is possible. Hope this can be corrected - or otherwise I personally find this project unacceptable, and Coursera just loses its face by allowing it in without proper testing.

At task 10 out of 12 my workspace has been unassigned to me and I couldn't use it anymore. I was only able to watch videos without the ability to practice

Good Project, I like the inclusion of the tasks hat allowed us to try out the things we learned. The only thing I would change is for the instructor to have gone more into the reason behind the fucntions used as well as the syntax. Good Project

One of the best projects I've done on Coursera. A MUST COMPLETE for anyone getting started with python! If you did this project three times over a few days you would have enough skills to start working on your own datasets.

Just the right course to begin learning about Numpy arrays & Pandas

Good way to be introduced to pandas

There's some good effort here, and some ideas and thoughts. However, it's kind of unorganized and random. There is no tie in from previous tasks, the solutions are different than what was written. There's errors in the video. It needs some tweaking, and once it's tweaked this would be a good project.

It wouldn't work. I would input data, same as the instructional video and the code wouldn't run.

My experience was not what I hoped for, and I want to share my thoughts with others who might be interested. Using the cloud workspace in the course was a problem. It was slow and hard to use, which made learning frustrating. One lesson was especially confusing. It asked us to spend seven minutes writing ABC, which didn't seem useful at all. The course should change. Instead of the cloud workspace, they could teach us how to use Jupyter Notebook on our computers. They could also focus more on important topics and less on basic stuff. Overall, it didn't meet my expectations. I hope the organizers can improve it for others in the future.

I do not recomment this course because it is truly not worth spending money on it. The way the course is structured is extremely basic, contains mistakes (it seems as if it has not been reviewed before posting it), uses a platform which is not really user friendly, but, most importantly, the same knowledge can be aquired FOR FREE by watching any kind of tutorial on the internet or having a quick look at the basic documentation for NumPy and Pandas.

I am typing character for character the Instructor is and I'm getting tracebacks repeatedly. Something is wrong here. I'm not learning I'm slowly troubleshooting.

I can't redo the video course

blocked after 1 day

This hands-on course offers an effective introduction to the most essential Python libraries for data science: NumPy and Pandas. The instructor is exceptionally patient and meticulous, guiding learners through best practices with clarity and depth. What sets it apart is the responsive Jupyter notebook environment, which provides a smooth, interactive experience and fosters a genuine sense of achievement with every completed task. Highly recommended for anyone looking to build a strong foundation in Python-based data analysis.

Absolutely wonderful Guided Project vs the 4 or 5 I've done. It is very much hands on. It is much better than YT videos because at least at the end you get proven certificate to be added to LinkedIn and your JobSearch profile as well. It takes more than 2 hours. I recommend using Visual Studio Code with two monitors in order to get more acquainted with the Visual Studio environment as a whole.

This project was very useful in getting skilled at using pandas and numpy throuh hands on learning. The instructor explained everything clearly and the coding platform is glitch-free. Even if you have base level understanding in python , you can go ahead with this course. Will totally recommend this !

I've doe a few Python specialisations on COursera but this was only my second guided project. This was excellent and way better than the other guided project. The instructor was excellent and the material covered would have almost endless applications an a wide variety of fields. Thank you!

Great explanations. Great work environment. I have had sections on Numpy and Pandas in Python classes. But I learned more in this class than all the others combined. A great experience.

Very nice step by step tutorial. Intent of the instructor is to ensure you get required clarity before moving to the next step. Thanks to the team , really a good learning

nice course, only one point I have somme pbm to work on the coursera idle, so I do all the needed task on my own jupyter idle. But nice course, and nice teacher