Very well written, great for beginners and early intermediates. I find the videos interesting and the assignments are great as well. I learned many interesting things in this course already and I started few days ago, nothing but recommendation for this !

The course is good. You will learn a lot. The only area of improvement can be Week 5, where too much material is covered, but less content/information is explained and provided. Overall, the course is great, if you wish to start learn Python from basics.

The course content was concise and easy to follow. The simplicity offered by this course came at the expense of in-depth knowledge, whose pros and cons can be debated. Overall, a good appetizer for a beginner aspiring to explore data science with python.

Very good couse to get started with Python in Data science field. However, the instructor could have added more detailed lessons. Other than that i highly recommend this course to anyone who is starting their Data Science career/ exploring Data Science.

Very good course to learn Python and libraries to work with Data Science, like NumPy and Pandas. The IBM Watson labs need a little more effort to understand and to complete every step, so don't skip previous labs and pay close attention to instructions.

Great course to get the knowlege of the language. I did however find out from week 5 it was too much information to gather and found a few modules tough to understand. I passed on the first try so its been a great course in under a week or 2 weeks max.

The pace of some of the videos is just unsustainable: I could not keep up, even though I have a very good understanding of programming. Sometimes, the lines of codes were displayed for a mere few seconds, with no timie to review and understand them.

An excellent and amazing course, however I want to leave two suggestions that I missed during the course: lack of step-by-step explanations to install and use python, and small practical activities to visualize the learnings on a more realistic scale.

I'm lucky to have coding experience with SAS for about 100 hrs, otherwise I might struggle a lot more on comprehending this course. And one thing worth mentioning, I spent a lot more time on the working labs of week4 and week5 than the suggested time.

Muy buena informacion de las estructuras , capacidades estructuras, funciones , etc .Los laboratorios estan bien , alguna que otra actualizacion de los ambintes para que las versiones de los laboratorios esten actualizadas con los videos

Lo recomiendo

A good overview, not as practical, hands on as it could be but I believe this is because it is trying to cover a lot of ground very fast. In that respect it is a great summary, requiring a lot of additional study and practice in order to make use of.

Does a great job introducing Python to those who are familiar with coding basics. All technical aspects worked flawlessly - jupiter notebooks, video, reading etc. great job! My only gripe is printing the cheat sheets was kinda janky but it works.

Overall great course with good explanations, examples and teachers. However, the external online tools often had long loading times and were quite buggy (even though my internet works perfectly fine). Also some typos here and there but that's okay.

I love this course, they just need to improve the lab experience, sometimes there was no explanation of the code and also there were some issues when executing the code that was on the notebooks. Besides these minor stuff the course was excellent-

Although this course is brilliant, I have to say it is too easy for those who have python basic. As a result, the things I have learned are limited. And the homework should move deeper or be more challenging. Anyway, I like this course, nice work!

The Course Is perfect for those who have little insight about programming and library like numpy and pandas but if you are complete beginner it might get difficult because its on very fast track nad for beginner its a little hard to stay on track.

The course content was amazing and very relevant. But it would have been better if we had been provided with guide on how to do entire programming along with necessary installations on our own computer rather than doing so on some other platform.

Overall good material but need many more practical exercises. Some of the labs walk you through the steps that are covered in the video, but they do not have a practical section that has the student write their own code to reinforce the material.

Very helpful beginner course. Some videos however could be better, provide more explanation and background reasoning and future application. Jupiter notebook was much more helpful, without even a need for videos. Looking forward for next stages.

It gives me a brief structure of Python and since it is a self-learning course, we still need to get more tutorial video from like Youtube which can help to add more details so that we have a more clear view about Python learning as a beginner.

I would give it 5 stars if not the speech-to-text exercise, that from the forum I could see many people struggle with. The tutorial for that exercise is outdated and it takes couple of days for the instructor to respond with unhelpful feedback.

Very nice introduction to Python. I would have liked more practical test examples (the time estimated to complete tests is greatly exagerated). However, this makes me lust for more Python programming, which ultimately is the goal of the course!

i really liked it the only thing that kept it from 5 star is that the course gave a limited knowledge about few basic functions using python with data science however i think that's what it was supposed to give so leaving my review with 4 star.

Great course for someone who is just starting on programming. However, on weeks 4 and 5, the practice material seem to just jump in terms of difficulty. Would love to have a bit more practice in weeks 4 and 5, especially for API and Rest API.

Some of the questions did not appear written by someone with English as their first language. There were also times when the Jupyter code did not seem translate well to running on Python outside of the web browser interface for the course.