MA
May 16, 2020
The syllabus of the course takes you in a roller-coaster ride.
From basic level to advance level and you won't feel any trouble nor hesitate a bit.
It's easy, it's vast, and it's really usefull.
TM
Nov 17, 2019
it becomes easier wand clearer when one gets to complete the assignments as to how to utilize what has been learned. Practical work is a great way to learn, which was a fundamental part of the course.
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By Gargi M
•Aug 17, 2020
Thank you for giving the opportunity to learn Python.
As for my review of this course, I suggest proofreading the labs before publishing them because they have many spelling errors. Since one of the recommended qualities of a Data Scientist is to be detailed oriented, it would be better for all the English and non-English speaking students to have instruction without errors. This will set a good role model for them to be more aware of their work.
Additionally, it would help students who have no prior knowledge of Python to be given some context before starting the labs. There are some labs that expect more than what is explained in the videos.
In regards to creating an object in Watson Studio, I highly recommend including Alex Aklson's video in the curriculum. Screenshots that are provided for the labs are helpful, however, the video is more comprehensive, and the step-by-step process eliminates confusion. Please devote more time to the subject of Numpy as it seems to be a vast subject and needs more instruction and examples.
Overall, this was an informative course that had an enormous amount of material to cover. Thank you once again and continue teaching thousands of students like me around the world.