I found the course content for beginners highly engaging, and I appreciate the structured approach to teaching. The combination of video lessons, reading materials, and hands-on practice ensures a comprehensive learning experience that fosters lasting retention of knowledge.

It essentially provides you with the head start you need to exploit Python in the field of data science. Also, if you happen to have a programming background, it would be a nice piece of cake to get you started on your first awesome day on Data science. Here's to many more!

The course presents all the concepts that will be needed in the data science journey. It has several hands-on activities that, in my opinion, were very interesting. This course is great not only for beginners but also for those who already have some experience with python.

This course goes through the basic of python, then goes up to the used of the most famous library for data science, or other data related field like numpy, matplotlib, and pandas. Keep it up to date please, some of pandas method used in this course is a deprecated method.

This course meets my needs about python. Before taking this course I was confused about writing code in Python but now I feel confident and can write even complex code. I learned many things .

I recommend this course.

Thank you guys for providing such an amazing course.

A great introduction to Python, very complete and thorough. I don't agree though that this is beginner level and that there's no prior experience required. If I hadn't a backround in data analysis, maths and some programming, this would be a very different experience.

This course provides a broad overview of the Python programming language, covering almost everything necessary to start using it and even the practice has been one of the best to reinforce knowledge and incorporate it.

It has been challenging for me and I have loved it.

A well structured course which summarizes all the basic Python tools used in Data Science and AI. Practice quizzes and assignments really helps in applying the concepts learned from the course. It is a great place to start for beginners in Python, Data Science and AI.

The course was excellent for learning and applying python at the same time. The course is perfectly designed for all kind of learners, excercises and labs helps a lot to grab the concepts. Thank you coursera for giving me this wonderful opportunity to learn this course

More interactive assignments leading into the final project would be useful. I needed to resource outside reading to fully understand the final project. However, the final project did force me to develop a much stronger understanding of python code and how it works.

I have basic knowledge in Python when I took this course but I still learned something from this like use of dictionaries, classes, and objects which I can use in the future for developing scripts for ETL/ELT processes. Also, the API intro is very useful and concise.

I particularly enjoyed using Jupyter notebooks for the labs. It was actually fun to introduce different variables to see what would happen to the output. Plus, it made importing libraries very easy, and helped me better understand them in general, particularly NumPy.

I really enjoyed the course!!They have put up a lot of efforts to feed the knowledge in us at the easiest level.I would also like to thank coursera for providing the "Financial Aid" which boosts my confidence by acquiring the certificate from the well renowned IBM.

This is a great course for a beginner, the illustrations and training are well structured for quicker understanding. The discussion forum allows for effective collaboration with like minds. Overall, the course is a great starting point for data scientist enthusiast.

The Course is designed and framed in a simplistic and ergonomically way easy to learn and understand.

Quiz questions are completely based on understandings from the course. And finally, the last analysis project gives a complete overview of what you have understood.

It was a good training course, with lots of good materials, visuals, and hands-on exercises. The integration of this course with IBM Watson is definitely an add-value. I did like also the possibility to share my labs to GIT Gist. I really recommend this training.

Outstanding curation of the material and presentation at a pace that was easy to understand. The optional part of the quiz was very difficult -- why make the user type in so many file names, parameters etc. to generate a URL -- that could all have been automated.

While a lot to ingest, the way the information is introduced, explained and then put into practice makes this a great course EVEN if you've already had previous PYTHON experience (like I did) I learned new things and understood many other aspects I didn't before

 It's a very good course, all the basics as well as advance level of python topics has been covered, all the topic data science like Pandas, Numpy and Matplotlib topics are also covered with a very good explanation of every topic, so would recommend to everyone.

primarily, I should thank Coursera for this opportunity. Great platform to learn python from scratch. moreover, UI is very useful for practical sessions. even though, non-coding background guys can able to understand easily. One of the best learning experiences.

I can't accept that I made it as far as possible ! I know learning the Data science and Python programming was a dream for me due to my financial problems. But my dream came true because of the Coursera team.

Thank you so much

Sher Abbas hailing from Pakistan

Great course and excellent pedagogy when organizing the information. What is shown in the videos is fully applied in the labs and delves into the things that the videos cannot show except in a hands-on environment. Really very grateful for everything I learned.

It's a complete basic course for data analytic. The exercise is great. The explanation in VDOs is easy to follow an illustrated. I think it is my favourite Python course so far. It helps me understand something that I don't understand from the previous course.

This course gives an perfect introduction to the basics of python for data science with the help of some python packages like numpy,pandas,mathplotlib etc, apart from this the course also gives brief understanding of using if,else,for loop,functions in python.

En el examen final, se obtuvo un puntaje, para dar clausura al curso. Es bueno, para lo que se desea, queda para uno, hacer más práctica para conseguir lo que realmente se desea con estas bases. Gracias por la oportunidad y los aportes que me generó el curso.