YY
28 de sep. de 2021
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.
PK
9 de may. de 2020
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
por Jan K
•15 de jul. de 2017
The programming assignments were a little frustrating.
I feel a little more time should be spent on the theory behind pandas and how the library works conceptually.
por Hong_Linshuo
•9 de jul. de 2019
I think the assignments waste too much of my time since I have no problems using proper programming skills, but have lots of problems catering to the auto grader.
por Taras P
•10 de dic. de 2016
Top free course about Data Science. But I think lectures must be more detailed and related to assignments. And assignments could be less ambiguous and more clear.
por Manuela D
•3 de ene. de 2018
Some exercises of the assignments where ways to difficult compared to what learned during lectures: much more details should be provided about data manipulation
por PRACHUR G
•27 de abr. de 2020
the course is really good but there are issues with autograder. Though they are addressed in forums you'll have to go through them and hence wasting your time.
por Joshua C
•24 de ene. de 2018
You'll spend more time struggling with the jupyter notebook (assignment platform) than actually writing or learning code. The lectures are really good, though.
por Yan X
•4 de nov. de 2019
Great content. But some assignment questions are not that clear and might cost you more time than its worth. And feedback from mentor is not that responsive.
por Abhijit G
•27 de abr. de 2018
The course is well designed and assignments are complex. What I did not like about this course is that the assignments are not well explained with examples.
por Narayan S
•17 de ago. de 2020
The main problem is with the auto grader. There are too many issues making it cumbersome to get the assignment submission right in one go. Please fix this.
por Parth M
•12 de jul. de 2020
Had to learn most of it by myself. Got discouraging at a certain point. Should have informed about the prerequisites.
Learn Numpy, Pandas before enrolling.
por Ryan T
•18 de may. de 2020
Some parts were quickly rushed through and poorly explained. However, they did explain the bare bones of pandas, which was the main reason for this course.
por Pengyue S
•1 de jul. de 2018
There is one critical technical problem lying in the assignment three and already caused hundreds of students' grade blank in the forum, including myself.
por Nehal c
•3 de jul. de 2019
As a beginner I found it a bit of a brisk over the topic. There was a lack of basic questions. But in the end I was coping up and then the course ended.
por KUSHAL B
•14 de jul. de 2020
too fast in explaining it was bit difficult to keep up with the explanation,small code example were taught but assignments questions was too difficult
por Aram M
•25 de may. de 2018
Great course material, but the autograder system was frustrating to work with for assignments, and often made me less motivated to work on the course.
por Himansu A
•16 de ene. de 2019
The course is okay for beginners as it is having only few lecturers for basics. Coursera experience was good. Overall i am satisfied with the course.
por Yaseen H
•24 de sep. de 2018
The assignments are not even close what is being taught. We are taking this course so we get everything in one place. Curriculum has to be improved
por Alvaro B F
•30 de ago. de 2021
I think the lecture about grouping could be improved with more practical examples, I had to search for external sources to understand the concept.
por Souvik B
•8 de jun. de 2020
Not at all for beginnners. Fast-paced with more focus on self-learning and grinding,rather than focussing more upon the concepts. Dry presentation.
por Konstantin K
•4 de mar. de 2018
Quite bad knowledge delivery from lectures. The course is rather self learning than course. A lot of vague points and uncertainties in assignments.
por VARUN K
•4 de mar. de 2017
The course instructor could have been more elaborate with the examples. I felt there was a wide gap between the exercises and the course material.
por Justin L
•6 de dic. de 2016
Assignments are challenging, but some questions are very vague and require lots of trial and error guesswork to get the autograder to accept them.
por pouya S
•29 de jun. de 2018
Assignments are great to reinforce your learning. But the instructor does not cover many topics and leave you with a lot of questions unanswered.
por Hanwen L
•15 de ago. de 2019
Please update the auto-grader such that is it compatible with current version of Jupyter notebook, very frustrating dealing compatibility issues
por Hemanta B
•13 de ago. de 2019
This course is a nicely organized. However assignments are not completely clear. Especially assignment 4 needs more explanation and details.