The review of python basics was nice. The actual AI or data science part was only covered for a fraction of a week, so not much was gained in that regard. Also, it felt like a constant plug for using/buying rights to use Watson.

Good level for people with little to no programming experience. Very quick to complete (can be done in 1 sitting). But gives an idea about how to work with datasets, different libraries and feeds well into the following courses.

Introduces the most important features of Python. Quizzes were rather simple. The final assignment is a total mess. Without information posted on discussion forum by other learners it would be impossible for me to finish it. :-(

The first four weeks are very helpful, and then week 5 is the project. There is little to no assistance in week 5, it's more-or-less sink or swim, but it forces you to apply what you've learned. I felt like I made large strides.

This course is well structured and easy to understand even for those who do not have a programming background. Only thing that I see needs improvement is more challenging lab work or assignments to help the improve the skills.

IBM does a good job in doing the python introduction for beginners. The use of Watson studios an Jupiter notebook is good although the platform on itself can be a bit confusing at times.

all and all... great experience for me.

A great introductory course, I learnt a lot in a short time period. The labs were key to understanding the course content and for taking notes. All of the labs took me significantly longer to complete than the estimated time.

The hands on labs are very informative. Its not that difficult to complete the course if you are focused, attentive and curious.. the quiz were a bit tough with the passing percentage kept so high. great course for beginners.

The Python course is very useful and I loved it while doing it. I want to say one thing i.e I learned a lot from this course and I upskilled my level in Python by doing this course. I recommend everybody to take this course

It would be very helpful if there were notes for each video that contained the code discussed -- both for the sake of learning, but also for people with visual impairments who might not be able to see the code in the videos

such a wonderful course threshold for students, Indeed i got some idea about data science and what's the data science domain dissertation within python . Eventually this course gave me conception and notion of data science.

Hay preguntas mal redactadas y preguntas que tienen más de una solución que te afectan en el examen final. el curso en general fue bueno, pero pienso que podria ser mas friendly para los novatos o un poco mas intectactivo.

Great, but some of the labs could be edited for better grammar and descriptions. Could not complete some of the Watson labs because my api keys would not work for some reason and I did not know how to go about fixing that.

The curriculum is too good.But at final stages it became complicated and started to confuse.Felt that there could have been a little more documentation to make understand at the final 2 weeks.But great course.Learnt a lot.

The inner workings of the project (dashboard creation process) are not that clear. May be an optional reading can be added for interested students to understand the dashboard creation and the libraries used in more detail.

Understanding the Final Assignment and its instructions were a bit tricky. May be an introduction to IBM cloud hosting and the significance of various credentials required in the final assignment will make it a bit easier.

Great theory was provided throughout the course. I have been coding java and python for the past year and this was great in reminding me how to truly work with data types and manipulate data based on project requirements.

Clear and accurate. The last part (APIs, HTTP, ...) is a bit confusing, it goes quite fast and some elements are repeated. Overall, great course to set the baseline for the future courses of the different specializations.

Friends, The course is above my expectations. Very good. Just two comments. I would need an aposila to better follow the video explanations. And some exercises were not running in Jupyter Lab. Still the course is great.

the only issue I had is the codes are written on white board itself , difficult to understand what is the input code, instead u can show that on a code editor.(distinguish between codes and theory explanation) -thank you

A fair foundational course. Week 5 could have a more meaningful assignment e.g. correlation, not just plotting. The last (not rated) part of the course, uploading your results into the cloud, needs a proper explanation.

Week 5 final project did not have clear instructions about how to navigate through IBM Watson Studio. Took me a while to figure that out. Otherwise, the course is pretty good and the exercises are very straightforward.

Very good for getting started with Python. But looks like the interface changed since the tutorial video/instruction have been made so it caused some confuse. It'll be better if you update those tutorial/instruction.

Overall I think the course was a useful introduction to python programming for data science, and the tools and workbooks were super helpful. The instructions could be a bit more clear, but it wasn't enough to stop me.

Very good introduction to Phyton and its capabilities in Data Science. Not so much of AI is described across the course, but it is very good to kick-start new skills in Phyton language, Data Science and Web Scraping.