I enjoyed this - probably one of the clearest Python beginner classes.

IBM Cloud on the other hand is quite challenging to navigate - not very intuitive and needed the extra careful "follow the instructions".

Nice introduction, but very little previous education in linear algebra and matrix manipulation assumed. Given the emphasis on cloud based data wrangling I had hoped to see larger and more complex data sets.

Presentations are informative. Materials and concepts are approachable for audiences of varying familiarity with coding.

Some code needs updating; particularly anything that accesses non-IBM-based websites.

i really liked the way they taught each topic ,it was very clear and good .i suggest them to add few more topics and teach those topics in-depth thus ,one can know the need and learn the methods more better

This course is well structured and well designed for all beginners out there.

This course will definitely help you to build strong basics on python language as well fulfilling the prerequisites for ML & AI

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the content is transported professionally. You can use the notebooks for later Python issues. So I want to give 5, but like many other guys mentioned, the "Watson"-advertisement is really exhausting.

The content of the course is really good, however, the descriptions of the practice exercises are difficult to understand sometimes. I had to see the solution in order to get what the question was about.

It really helps a lot understand the python work in data science but in last week lectures like pandas, CSV, numpy etc if there are few more examples of these topics it really help me to a lot understand

Overall, I learn a lot from the course, however there is a need to update the IBM cloud and Watson studio set-up page in the instructional material to be in-line with current IBM cloud and Watson Studio.

Great course for introductory learning of Python, however the course can be difficult and some of the videos do not provide as much detail on subjects that are briefly mentioned in the readings or labs.

Very basic, somewhat interactive, just an intro to AI without getting into the science of it. Overall, it does a decent job of introducing fundamental python concept in the context of Jupyter Notebooks

some contents are a little difficult, although they are not required to know the rationale, I found myself unable to apply them. It'll be better if it can provide some way to consolidate the knowledge.

A solid introduction to Python in general. It can help you start getting acquainted with how programming languages work in general and gives a good overview of how Python can be used for data science.

Briefly it covers a lot of topics. Learnt many new things in such a short span of time. Its just that the Hands on tool was a little slow. Rest everything was pretty simple and its good for beginners.

This course is basically designed for beginner who wants to start with python. So it covers most the stuffs a beginner wants to know. But nothing related to datascience and AI I found in this course.

Good tutorials, well introduced. Kudos!

Some labs and exercises were too complex for starters; however, quite useful as code later in practice.

Many names could be shorter, simpler, more descriptive.

It is a good course if you have previous knowledge in python, in my case I did not have too much expertise in Programming and it was very difficult the las 2 weeks (4 and 5). However i learned a lot.

it was an awesome course to start your journey in data science. Fundamentals concepts are covered in a lucid way. Nicely designed lab work. Some more hands on will help to get a better coding skills.

This was an extremely informative course and I believe is perfect way to strt off your coding journey. The teaching style was understandable.detail oriented and very practical. Highly Recommended.

It was a fantastic learning experience, especially the project part and review mechanism is flawless. Could improve support related to IBM cloud-related queries. Otherwise overall a good experience.

A nice introduction to Python! I would have liked assignments that were a little more in-depth, but other than that the course content was well laid out, easy to understand, and a solid foundation.

Great Course work just more needs to be explained. I searched a lot to find more information as a beginner.

But a great introduction will recommend it if you're starting out without any experience.

This was a good course with a lot of interesting content. However the exercises in the hands-on labs were often repetitive and the quiz questions replicated the questions asked during the lecture.

Fast pace course, if you have never been in touch with python you might need more time and extra materials to complement your studies. Overall, it is a good introduction to python foundamentals.

Extremely helpful for those who are new to the python and the concept were explained in a very sophisticated manner . Thanks for the tutor and the course era for providing this great opportunity.