I have two general comments:
The first comment is . . . there was too wide a gap between the lecture content and the assignments. The second comment I have is . . . I spent too much time trying to figure out what the autograder wanted and not enough time learning Data Science with Python. I can only imagine the work that it takes to develop and launch a course like this. In all, I'm very excited to be part of this program. My comments are critical but hopefully helpful and all your work is appreciated.
Ratings and Reviews for Introduction to Data Science in Python
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Reviews and Ratings
Reviews
This course wasn't quite the cakewalk I was expecting it to be, which is perfectly fine! I definitely would recommend this course for anyone looking to pursue data science/machine learning professionally. I learned a lot of skills that employers look for, and have applied the things I've learned here in other course work as well. 5/5 would recommend.
Great course, assignments take more time than listed, and I found the discussion forum very helpful to learn more about the assignments and interact with other classmates. Overall I learned so much of commands from this course.
Very good.
Course teaches Python Pandas in a very practical way and I'm sure now having learnt it I'll use the skill. But this course wasn't taught well. Weekly assignments asked questions about skills that had not been taught yet. The course coordinators didn't respond or help in the forums, The topic area deserves more in depth video lectures and discussion. All the above basically means that passing the weekly assignments takes longer than you may assume. Had the course been taught and tested more effectively then doing the weekly assignments would less frustrating and time consuming.
Basically the course is good, but it requires much more work and research because of the poor way its caught and monitored by staff.
Great course! I liked how the focus was mainly on the practical aspects of data science. No 'dry' course material. I know much more about the practical side of data analysis than before! Thank you!
The lectures are insufficient, the homework instructions are incorrect, the autograder is terrible.
The course is interesting, but the grading system needs to improve substantially. The grader bugs considerably, and the questions are often not well defined, which requires a lot of unnecessary trial and error to understand what exactly the question was about. Finally, complete the assignments took way long that what it is suggested.
This is in fact the worst course so far. Mainly because of auto grader. Here are my reasons.
Actually I did not complete the course at all. But I suddenly got a message saying that I have completed the course. I was working on the first problem of the 4th assignment. I did a provisional submission to see if my answer was right. Auto grader reported the grade for the 3rd assignment and said that I have passed the course. Any submission I did after that was not graded at all.
The assignments are not very clear. Looks like I had a older version of the questions while others had a different version. I was stuck in a particular problem because auto grader did not give me a clear feedback as to why I was incorrect. I wasted too much time on this already.
The assignments require too much research outside what is covered in the videos. I don't feel that is right. The assignment requires that we research on Stack Overflow and Pandas documentation. I strongly feel that such activities should be performed only outside the course work when we try to solve real world problems. Course assignments should be reasonably given based only the materials covered in video. This was taking too much time.
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The discussion forums are not giving clear hints. When we are stuck in a problem, we are not able to proceed further. I still son't know the answers for certain problems because the coordinators do not explain the answers well. When we complete assignments we don't get to see the instructor's solution.
The video instructions were too fast paced. The instructors do not pause and explain critical aspects of the code.
Overall I am very disappointed with this course. There are much better videos on Youtube and Lynda than this . I am sorry. I never thought it would be this bad. The first course on Python from University of Michigan was really very good.
The assignments were good but it was a lot of time spent with the grader.