This is the practical course.There is some concepts and assignments like: pandas, data-frame, merge and time. The asg 3 and asg4 are difficult but I think that it's very useful and improve my ability.
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
Good course, if a bit fast paced, expect a great deal of searching through documentation and stackoverflow, but it is to be expected from an intermediate level course.
автор: Muhammad E•
as advertised this is not an introductory course , you need to know a little about python pandas and numpy before taking this but overall it's nice challenging course
автор: Marina L•
A bit short, but good info. I wish you got access to an optimal code for each of the assignments once you submit yours and pass, so you could see how you can improve.
автор: Muhammad A•
Too much content covered in a video at very fast pace. I am comfortable with little long videos with more details on the topic and I think that can enhance learning.
автор: Haijian H•
The assignments are challenging and thus rewarding after hard work.
More explanation effort can be invested during the lecture would make the course perfect, I think.
автор: Robin K•
A very useful course for getting to know Pandas and its application in data science. Bit of advice: use the online version of the notepad to avoid autograder issues!
автор: Christian L•
I dont put the biggest mark because sometimes you have spend a lot of time trying to resolver a problem with and csv file and it is something related with format....
This was a great course. But I would advice programming newbies to really be comfortable with problem solving and Python programming before going through it.
автор: N. K•
The data could be made available. That available in the links have been updated and the code does not apply to the dimension of dataframe mentioned in the notebook.
автор: Sanjay V•
Good course. makes you work, but the learning was worth it , especially for someone like me who has ben struggling to pick up python though I am fairly good at R.
автор: Siddique Z A•
Nice and very much informative session on Data science using python where we learns a lot and also completed assignments which is really a tough level assignments.
автор: Chimobi O•
it's a nice course, more project based than theoretical, challenging assignments and good instructors. it spurs you to do a lot of research and individual learning
автор: Michel H•
Es un buen curso. Me parecío demasiado rápido el teórico y demasiado escueto. No me gustó que en los assignments hubiera que buscar tanto dato en fuentes externas.
автор: Ravva A K•
if anyone want to learn data science through practical approach then with no second thought enrol to this course .
thanks to cousera for providing me financial aid.
автор: Kaya Ö•
Most of the work is on your shoulders, I think it needs more practice session on pandas. Wes McKinney's book are strongly recommended for help through the course.
автор: Prabhsimar S•
It took a lot of self-study, practice and much more hard work than expected at start of course. But at the same time it increased my knowledge manifold. Worth it!
автор: Kapil C•
The course structure was very good! Assignments were exciting although a one or two questions were not so clear. But the discussion forum was awesome and helpful!
автор: Timothy O•
Great course! Some of the homework questions seemed a little ambiguous but I was able to find clarification in the course discussion. All in all I learned a lot.
автор: afsane h•
This course is wonderful! I think its a good practice for those having some experience with python's pandas and numpy library, to make their a solid foundation.
автор: Christopher S•
I would say an advanced level of python understanding is required. The assignments are very difficult however you do learn a lot about python and it's libraries.
автор: VIRAJ V P•
This is my first online course the course has indeed helped me to master data science and the assignments are quite good based on self learing more
автор: Zhuang Q•
This course taught me a lot about pandas. However, the difficulty of the assignment didn't match the content of the lecture. It is too difficult for a new comer.
автор: morten o j•
Steep intro, can be tricky to understand, the requested format of the responses. The autograder is not always verbose enough...
Good learning experience otherwise
автор: Dr. K A K•
Good course - fast paced and needs a lot of self learning from the web to get through the challenging assignments. Be prepared to spend good time on this course.
автор: NASHA A•
I think it would be more interesting to include more diagram/map mapping instead of lecturer's image all the way from the beginning till the end of each lesson.