The course started very well and the videos and labs were very useful, however, as the content got more difficult, the videos got more vague. The last videos were very difficult to follow, and too much information was included in each lab without proper explanation that made the learning process very difficult.

Several spelling errors that get in the way of code and even the final project.

Directions not always clear, could use a little more refinement.

Overall not terrible, just did not feel to par with the prior courses in the certificate (granted, they are less technical.)

Hope this feedback helps improve the course!

The content is well organised and presented in simple manner. The lab helps to enhance the understanding. However, the final peer review assignment is a disconnect from the course content, which requires students to google and look for the solution which is totally not related to the content of the course.

While the course is not bad. I had a frustrating time.

Notes are too old, links are not working, Instruction are not clear and are not up to date. There were even times I was tempted to terminate my subscription. Please please make the notes up to date and improve the instruction, else shut the program.

Although the labs and readings did not provide an adequate background for the final assignment, I enjoyed this class. However, I need more practice than just the Jupyter Lab. Sometimes I can't even open the lab to practice. :( It was a very hard experience. I struggled a lot with the final assignments.

good for learning basics of py, but there are several troubles.+, eg: all the lessons with quiz are truncated before starting the quiz, dr. watson version currently in use is different from the one used in the course, the hands on exercises present some errors or missing libraries with any suggestion.

This course should be a little bit more explanation and guide based for complete beginners who have no prioe knowledge of python. Many parts are skipped and are not properly explained. Most importantly the importing and installation of libraries part is not explained properly and should be improved

The process for learning in this course is throwing pieces of python at you with little context in how they would actually be used in the real world and leaving most of the practical labs to the very end. Doesn't seem this will actually help people retain more than 15% of what they've gone through.

The course generally explains concepts in a good and illustrative manner. The only thing I found hard to understand and wasn't demonstrated with examples is API. Furthermore, I suggest the quizzes and the lab exercises become more competitive and more advanced. The questions posed are very basic.

The exercices from week 3 to week 5 are too difficult. It would be really useful to have more exercices with a progression in it instead of one big exercises mixing everything.

The weeks 4 and 5 are really difficult to understand because there are a lot of new things explained really quickly.

Interesting introduction into Python, tools and some libraries. It's pretty easy though and i feel like once we reach the files management, Pandas and Numpy we should get some real exercice to practice and get confortable with those since they are super important for what are you aiming for.

In the course, some of the details were submerged too quickly without providing the basis. In other words, the structure and structure of the syntax was hardly dealt with, but they worked with it at the same time (at least in the videos). The course itself is suitable for the beginner level

Ok course for understanding the basics of python. Some exercises (week 3-5) didn't always seem to match the basic nature of the videos and were a bit frustrating. Because it's pretty surface level and the exercises didn't reinforce my learning, I felt like I walked away not learning much.

Course gives some general understanding of programming in python, but it is too condensed in my opinion. Sometimes materials lacked in consistency (strange lab .ipynb files naming, few of those were not working correctly). Definitely not enough to get to know such great language as python

The course content was good, but the hands-on labs were very confusing. It was not clear how to practically apply the knowlede. I did a pyhton course prior to this, bit for someone with no prior python knowledge, this must be very confusing. Better, more visual practicals would be better.

The videos are not nearly long enough for the labs. All the tools we need were not mentioned in the beginning, and the labs frequently are not complete or do not work.

This is not helpful for someone who is at the very beginning of learning Python because I dont know what to look for.

All Content of this course is Very Good, But one things is irritated which is the project submission using 'IBM Watson Studio', this platform can't loading easily it is time consuming and Slow platform for data processing. For this course we need a lite platform which is loading fast.

it is a baby class for coding while it is not very challenging and practical. the code is sometimes outdated and is done in a time-wasting manner. one of the biggest problems is that the course refrains itself from using other libraries which are frequently used or common in practice.

This course had tons of information that at times was overwhelming for someone without a data science background. I would have liked to see the course work split up a little more along with more introductory/overview lessons, like who uses Python, how is it used in the real world.

This course was frustrating because there were some issues with using the IBM cloud and they could not be solved quickly. As a result I comlpleted the course without completing all the practical exercises, so I missed out and did not get all the value I should have from this course.

This course does a good job of introducing the basics of python. However, the slides in the lecture videos are so atrociously formatted (and riddled with typos), that they have an annoying and distracting effect. Even in a high school presentation these slides would be embarrassing.

Good structure, learning progressively helps. Labs are interesting and allow to learn to code. Two drawbacks: 1) very unequal distribution of work, Week 4 was too long, while Weeks 1 and 2 were light; 2) a lot of mistakes in the course, up to the point of sometimes being confusing.

OK overall, but many links to external resources were not working and how-to screenshots often out-of-date for those services. The analysis side was a little light as too much time was spent on the intro to Python. It would have been better with Python knowledge as a prerequisite.

Good course but there were large gaps in information, plentiful typos, and confusing explanations. As someone who educates for a living, I'd say this should likely be broken down into more than one course and the materials should be reviewed for grammar, errors, and readability.

I really like the topic and overall progression however, Week 4 and Week 5 have serious issues with the pacing and the difficulty curve.

I also strongly feel that extra reading and practice on MANY of the topics would lead to better understanding and an easier time (later on).