The course had helped in understanding the concepts of NumPy and pandas. The assignments were so helpful to apply these concepts which provide an in-depth understanding of the Numpy as well as pandans
overall the good introductory course of python for data science but i feel it should have covered the basics in more details .specially for the ones who do not have any prior programming background .
автор: Omran A S S A R•
I loved the assignments but the video lectures lack all the info needed to do the assignments. assignments require self learning.
автор: Jinhang J•
I wish we had more examples and datasets in this course. Overall, it is a good way to start and learn how to use NumPy and Pandas
автор: CR T•
over all good content, assignments were good, one thing i find it hard is pacing, it's sometimes too fast, but it is worth taking
автор: Ivan Z•
The course is not bad for the start, but I'm a little bit confused because of difference between lectures and assignments' tasks.
автор: Declan K•
The assignments were a very good indicator of progress. The tutor was a great help for when I had a problem. Thanks a million ;-)
автор: SHUBHAM P•
Course could have been taught with some more depth and focus given on covering more concepts. Otherwise the curriculum was good.
I gues is important give more estructures to the student, i think a little cheatsheet of python is very useful for the students.
автор: Vijay R•
The assignments were a bit difficult. It sometimes demotivates when the going gets tough. Was able to crack it in the end though
Great courses,enjoy.But this is the hardest course I ever have on coursera.Slow down the speech and coding part would be better.
автор: Haotian H•
course content is very good. the assignments need to be more detailed...some questions are confusing and need more instructions.
автор: SANJANA K•
It was a knowledgable experience. But I would say need a bit more work towards explaining the programming during the sessions.
автор: Hans C P•
It was difficult to choose; 4 or 5 stars. It is a 5 star course, but due to my fighting with the autograder, I ended up with 4.
автор: Anatolii L•
Pros: Good and practical syllabus
Cons: no so clear explanations of some topics, problems unclear issues with assignment grading
автор: Mujeeb A F•
Course content was really good as it focused more on practical work rather than just theory. The last assignment was difficult.
автор: Apurv S•
Very good... but question should have been properly explained (in a detail manner).. overall it was a great learning experience
автор: Xinyang W•
Video instruction is way too short compare to other Coursera courses. I don't think it's a good course for absolute beginners.
автор: Zhenying T•
The lectures are a bit fast and there are a few errors in the homework. The homework is very helpful and uses real-world data.
автор: Karina L B•
It is necessary to explain more some definitions and some assignment are not entirely clear. Excellent response from the staff
автор: Alain D•
Good course, you have to do a very large amount of work and research and test on your side in order to properly understand it.
автор: James S•
Excellent course for introduction to pandas. Espacially the assignments offered in the course are great and very well picked.
автор: Jacob L•
It was a good solid course on intro data science with Pandas. I found the videos were a little dry, but the content was good.
автор: Aditya M•
Overall you get to learn new and good ways of doing pands and matplotlib but its way too fast for anyone with basic knowledge
автор: SHUBHAM S P•
Really good course for beginners in Data Science . The Faculty is very nice and explains each and every concept very clearly.
автор: EMRE D•
Submissions were generally hard, if you want to take this course you should learn most of the programming things by yourself.
автор: Sang L•
Good Intro part for pandas. The homework part is more difficult than the materials. Materials could have been more organized.