This is great course with a lot of good information. I will say that it does go a bit beyond the beginner level and moves a little quick so you may need to rewatch the videos sometimes. I took prior python courses at the beginner level, so I was able to manage; however, without experience, I recommend using YouTube videos to fill in parts they kind of skim over.

Many thanks to the course designers.

Text Analysis exercise has a very steep learning curve. Need to segment. Start with simple code, then provide the equivalent "superior" code.

Same issue with Raptors fan club exercise.

Had issues with wget installation. IBM cloud feature code failed. Had to use new mail address.

It took me double the time to complete the course.

Some part in the labs wasn't functional due to missing installation of libraries. Also in some places the code didn't run as excepted only after manipulation debugging and WA. I think that once in a while the course should run in a regression test to catch this errors.

I believe this is due to libraries dependencies etc.

Over all, I enjoyed the course very much.

It is an amazing course where everything is taught from the basic. One can follow the lectures very easily and can apply it. Video lessons are good and test questions could be little more better, it was way simple. There will be difficulty in searching the assignment data for students but it is fine, we can look out for it. Overall, it was a good experience.

Overall the course was decent. But I strongly felt that at certain points, it went at a very accelerated pace with little explanation. I Hhd to repeat and watch some parts over and over again to understand the concepts. My only suggestion is to reduce the speed of the program for beginners to understand better. Otherwise, it is a good and complete course!

Great tool to manage and understand how to work with Pandas and the basics of Python programming. Honestly, it is worth to do the curs even if you have no idea about Python. There are step by step manuals about how to program this stuff. It is far away from difficult! Though a tip is to try to run this on your computer and keep some examples. Great Job!!

It was good for the python basics. Eventhough I knew most of it, it was nice to go through and see where I still missed some things. But the part with the web-scraping and API´s was too less to really gain knwoledge. It would be better to make a own course only for that and maybe add visualisation libraries like atplotlib and seaborn into this course.

I learned a lot from this course but am trying to experiment with python on my computer as this moves forward but often encounter many syntax errors due to not learning it. I think it would be beneficial to others if syntax is explained first and some theory instead of just diving in but just my opinion as my learning style is different from others.

This is a well-organized course that requires a certain prior level of programming knowledge, as well as commitment to studying its lessons. The course prepares the way very well for what later should constitute the following more specific courses. Again, it is a course that requires commitment and study, but you learn a lot as you dedicate yourself.

Lab is quite glitchy as it showed errors for the correct codes too. This does not help as it adds to the confusion and also makes you lose interest due to uncertainty and frustration. However, the culmination of videos and reading are great. Despite the glitches, the labs do offer oppotunities to practice your programming skills which is wonderful.

A good course for the time allocated. Touched and showed the basic of modules interesting for Data Analytics and Data Science.

Missing start is due to there were a few steep steps in hands-on lab but I think it is needed if the course would not be too long and extensive.

Enought to get the basic and knowledge to take other course or learn by doing

Highly recommended for any beginner who wants to get into data science. The transition between beginner and intermediate is so student friendly.

My only suggestion would be a little reduction in the speed with which instructor take class(in future course lectures), its slightly difficult to take notes. But we can we view it back, so not a big deal

The materials in this course are very useful. The techniques in the exercises are relevant to real-world problems. The final project has some bugs that should be addressed; namely, the lab environment does not support the plotting method used in the template, and the template is not readily available but must be found in the Discussion forum.

Good Course, covered ONLY the basics of Python. I did not like the tasks because they were very easy to solve, while the actual cases, problems will be much different and difficult than the one covered in the course. However, the course was just the starting point. It was good, fun, educative. I recommend this course as a start in Python.

Should include step by step information on installing Python for every system. Even if not needed for the course specifically, this is important to learn and get started with any language. Beginning course material very good for Python basics. Later course material (APIs and web scraping) not in depth or quite well explained. Even in labs.

Este curso de Python para ciencia de datos, IA y desarrollo, aprendí todo lo que tiene ver con los números enteros, tuplas, listas, APIs, y en especial, los registros de datos. Son los temas que me llamaron la atención y me ayudaron a seguir adquiriendo cada vez más el aprendizaje y capacitarme para las prácticas y tener un trabajo digno.

Very good course, quiet enjoyed it. I am not completely clear about the payment system. Like i finished this course now, and it was 30euros/month, but i finished it within the free week. So i think i will not be charged? :D For anyone considering starting with python, THIS COURSE will put you at the right start :) PS. I never give 5 stars

I found this course extremely fun and challenging. I still need a bit more practice but I can confidenly digest and pick apart what parts of the code are doing what.

There is a section during week 4 where it significantly jumps up in difficulty (second half). I think some of the read write sections need more examples and practice portions!

Introduces you into Python in a fluid way that works will within the IBM eco-sphere of tools. If you use the tools provided (free trial periods) there is plenty to play around with while you take the course. The labs are a bit too guided in my opinion and could use some more 'learner inputs' but both explain and show the content well.

This was a solid course, despite some errors in the instructions that made it difficult to complete some assignments. I'd recommend this course for people very new to Python - it does a good job of explaining basic Python concepts (objects, classes, etc.) for someone who's never programmed before. Overall, I'm glad I took this course.

It improving skills we can learn more to develop our skills.The demand for both data scientists and data analysis will increase by over 1000% over the next few years; it's time for you to make your move. Whether you want to become a data analyst or make the big leap to data scientist, learning and mastering Python is an absolute must

Some sections were very good, especially the introductory ones, but often they seemed disjointed and focused too much on a deeper but superficial understanding of a few topics at the expense of a broader understanding of Python as a whole. Examples and labs frequently used commands and syntax that were barely -if at all- explained.

This course is great for beginners. It gives the basic foundations so you can improve your knowdlegde later.

I juts think the data part was given a bit in a hurry. And I-d change the way we resolve problems. The lab isgreat since it doesn-t ocupy any space but I'd rather use python or spyder to get use to it.

Overall, I recommend it.

I know this is an IBM program, but we shouldnt be forced to use Watson Studio.

The video were really short, so i had to reviewed many time and still find the concept of (class, and calling on other code through API difficult)

this is probably just "intro to Python" the knowledge taught here are not yet applicable to real life context

The Course content was very detailed in some parts but in other areas it could have been a bit better explained. I understand that the course is expedited and a great deal of the development should be the students' responsibility, but certain concepts, particularly the section on REST APIs and webscraping was a bit hard to follow.