great learning experience..!!

Good introductory course

Great for a beginner

awesome course

Awesome lesson

very good.

Very good.

all awsm

Great

The course was overall a very good introduction to Python with content that was easy enough for beginners to learn, but also contained challenging content for those who have experience in other languages. Overall the content also reviewed the primary libraries that are frequently used in Data Science. However, there were many issues with the IBM Cloud labs which was frustrating and disappointing. Overall I was still able to attain my primary goal for the course, which was to attaiin a working understanding of Python in Data Science applications.

As a newbie in python programming, the course was really informative and very practical. I did understand most especially the challenges that I was getting in the exercises on every notebook.

The only thing I did to gain more understanding of the language was to supplement my knowledge with other youtube videos so that I can fully understand Functions in python, ojects and classes and REST APIs.

All in all it was a wonderful lesson.

The course is very informative. The Quizes are very easy, which have both Positive and Negative side. It would be better if the questions are different in Practise Exam and Weekly Exams. Also the quizes sometimes refere to the examples mentioned in the slides, which can be ignored by providing full information in exam rather refering.

There should be a summary section at the end of all week courses where all the learning items are summarized. A downloadable pdf copy would be more helpful.

Also, few questions of assignments were confusing, where expected end result format was not clear. It would be better if provided a sample output what is expected.

Great course! Would give 5 stars if the final assignment was better aligned with learning material, it really threw me off and was very hard to decipher in both logistics and technical questions. The last assignment really needs to be improved. Otherwise, great intro course.

Excellent course presented well and labs were good hands-on way to learn... Could have done without the Numpy sections tho... Once it started talking about adding/calculating vectors without explaining what they were, i had to skip over it... But rest of class was great

The quizzes could have been a little tough. Also, the course could have contained writing few programs, and also output like questions should have contained some complex and bigger codes..Quizzes were very very basic. Otherwise, course was fantastic.. Thank you so much

I like the project, practical orientation of the course compared to more academic approaches. The slides on

usage of the Watson Studio features and sharing could be improved. Spent more time messing with that than the programming. Seemed excessive

The cloud storage question on the final is just a ploy to get us to use IBM products and shouldn't be part of the grade. The course was a good pace and nice, slow introduction for new Python users.

Everything for this was great, up to the last part of the project. The instructions to load to the IBM cloud were some of the most confusing and overtly difficult exercises.

I was going to give it a 5, however, there are some mistakes and inconsistencies in the powerpoint slides. But overall, great courses, and I'm so glad I decided to take it.

W4 and W5 syllabus is too much to comprehend for non-computer science people. Me personally find it difficult to link previous lessons with the next ones

I don't like the system for the final project. It took me a long time to figure out things not directly related to python.

A few more hands-on for using IBM Watson studio efficiently would have been helpful. Still it was an amazing course.

The videos are good. The level of assignments can be improved.They are quite easy and straight forward.

The IBM section at the end is depending on the cloud services that sometimes have connectivity issues.