First 3 parts (week 1-3) are awasome explained. Rest (week 4-5) could be more detailed (more step by step with clarifying what specific funcion or phrase do).

Slightly out of date at times, but the basics are definitely there, and if you're willing to dig around the forums you can get all of your questions answered.

Although Data Visualization course comes later in the queue, still more detailed introduction should be given by means of Video aids. Overall course was good.

There are a few videos where they rush up things which is not ideal for beginners, except for that, its an amazing course to get some basic idea about python.

Week 5 assignment needs a few more understanding theory parts or videos and week 5 must be updated to it's new ASAP for the other students taking this course.

Course content and section quizzes are bit too simple comparing with the final assignment, the external tool Lab is not very user-friendly from my experience.

This was a nice ramp up course that familiarised you well with the basics. However, I felt that the cognitive labs environment spoon fed me a little too much.

On the whole, it is quite alright. But I feel like some of the topics are rushed. It is up to the learner to go and find out more if they are still confused.

I really liked this course. I've learned a lot, unfortunately at the final exam the formatting for the code went bad and therefor was very difficult to read.

the teaching was very fast. To be a beginer coures please make it more simple. some of the complex things are taught in hurry. Please teach in a slow manner

If you're looking for a course that can pave your path towards data science, then this is it! just go thought it thoroughly and do the assignments sincerely.

Good course with concise information. I just wish it was explained with more examples and more in-depth. Overall, it was really informative and entertaining.

The course gives a basic idea of Python coding required for data science. I needs to be a bit more detailed with more example/case studies ( in my opinion).

Minimum of practice, don't need much effort to accomplish tasks, less code should be already written in notebooks and more cpomplex tasks should be created.

Very well designed course, but it would be nice to have more coding practices here. Overall, I had good experience learning about basics of Python. Cheers.

Great course!! The concepts are explained really!! The ungraded external labs contains a lot of information, you can use it as a resource to fall back on.

The course has been interesting and has helped me to get an insight into Python programming, however, I would have liked to have more examples to practice.

the python notebooks are very good but the lectures are boring to the maximum compared to other courses on other platforms or even to free youtube videos

El curso esta muy bueno, y bien explicado todo, pero estaria bueno capaz un poco mas de ejercicios practicos para que te quede mejor y se entienda mejor

The course was really informative and very much suitable for beginners. The depth in which the topics were taught could be increased slightly.

Thank You!

In some places, the course is a bit fast in the explanatory videos and it would be better if the pace can be normalized. Otherwise, it was really good.

I learn the manage of libraries, functions, methods and the use of files, lists, tuplas and arrays. The examples are very didactics and understandable.

Very precise and concise course, I liked the structure and the progression. At the end, I will only add a bit more about API and more exercises.

Thanks

The course is very nice and industry saavy preparing the insustry professionals.

Thanks for such a useful course made availabe at the user convience.

Very good course for a beginner. I missed more exercises to practice, especially Pandas and numpy. Overall a good approach with the Jupyter notebook.