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: 21_Keshav M•
The Structure of Course is Great!! Although I would love to have mentors explain concepts a little more. Overall a great introductory course.
автор: Stefanie N•
The help in the forum was good, the assignments were fun although I always had some problems with the grader at first, some resolved some not
автор: Roshni G•
The assignments were challenging and cool. Lot of self-study needed to crack them. The lecture videos could have been a bit more interesting.
автор: ASHISH B•
The assignments were very interesting and the teaching also was very good. The main help was the provision of notes in the jupyter notebook
автор: Sven E•
assignments quite challenging , way more time needed than the est. times given by coursera. happy I could finish it. on to the next course !
Curso interesante para iniciarse en la librería pandas. A veces vas algo perdido pero dedicandole esfuerzo y atención aprendes muchas cosas.
автор: Jason R•
Could have been more challenging and worked with more interested bigger datasets but was a great way to get up to speed on pandas abilities.
автор: Paula C R•
The course is really nice, hands-on all the time. Some questions of the assignments could be improved to avoid ambiguity/subjectivity tough.
автор: Ishank T•
Not beginner friendly, great assignments which require "stackoverflow" skill. you actually learn from assignment. Videos are not that great
автор: Dominic l H•
good course overall but there needs to be more information on code profiling/optimizing it is really required to pass a part of question 4.
автор: luciano d f a•
A good introduction to Pythonic data science programming tools. Just bit too fast in exposition for my learning curve. However I liked it.
автор: Juntao G•
Mostly good. However the question quality of homework 4 should be improved. The way how questions are expressed is ambiguous and confusing.
автор: Seyyed M A D•
Educational materials are more than great. Lectures and notebook resources are A+++.
However, programming assignments are not interesting.
автор: Matteo C•
Good but I personally found the time required for the assignments a bit unrealistic, having some basics in programming but not in Python.
автор: Sirajalam S•
The course is very interesting and quite informative. I got a lot of information about Data Science and its application in various fields.
автор: Germano R•
Great course for beginners, as well as for those with previous data science experience with other programming languages (i.e. R Computing)
автор: Manas A•
Overall a really great course with a great deal of skills and information, but i wish the coursework assignments were a little bit easier.
автор: ALISON J D•
The course was challenging but fun. To complete the assignments you need to research python on the Internet and consult the course forums.
автор: Eduardo S J d P•
Autograder is hard to understand and has no feedback. Could improve the feedback mechanism, maybe with peer review. Thanks for the course!
автор: Md. N K S•
Assignment 3 and 4 was much difficult then others, I have to submit 3 times and have spent more then 7 hrs. Ultimately i have learn good.
автор: devansh v•
The course is really good but a little more insight to pandas would have made it even better and also the auto-graders is a little buggy.
автор: MUSTAFA Ö•
Assignments of the course are more educative than video contents . Because videos include short and insufficent information about topics.
автор: Indranil B•
A good course overall.The assignments are challenging and promote a lot of self learning.The Jupyter Notebook integration is also a plus.
автор: Martin D•
Very good explanations of course material, interesting assignements, but some instructions in graded assignements were not always clear.
Overall very good. Like the lecture styles. Some of the questions in the assignments aren't clear, but the discussion forum helps a lot.