Gives an easy way to enter python, but more text feedback should be needed as videos, are 10 minutos long or so, but they have so much information in them.

Also some assignment and jupyter notebooks were unavailable temporarily and took me days to prepare them.

Great course for beginners. You will learn all the basic data structures of Python.

The only but it the "jump" between the basics of Python and the API lesson. There should be an (extra) connecting lesson which links the basics of this course and teaching APIs

In general quite good. I like the Coursera set-up. In this particular course (it is my fourth), I would like to see more alignment of videos, quizzes and the final assignment on Watson Studio.

Still, thanks to everybody who makes these online courses possible!

The course is very well made, It cover everything. Maybe sometimes would be nice make the video a bit longer or make it slower. It felt sometimes that is too fast. There are some grammatical errors in some places, but nothing important. My rate is 4.8 stars

For webscrapping it switch very fast from simple to very complex which is confusing and takes way more time to understand the concepts. One of the excercises that asked to choose and work with an API of preferences it was al most impossible to solve for me.

It´s good generally, but it has a few caveats. There are some jumps in programming concepts, for a beginner course. And some of them are not used in the final project, so they could be removed and replaced with more in-depth analysis of libraries methods.

Good course for any beginner but some codes taught didn't run properly. And I would request to provide more practice exercises for every type where we get habit of application of not just the current concept but previous ones also so we don't forget them.

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.