PK
9 мая 2020 г.
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
YY
28 сент. 2021 г.
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.
автор: Jessica S
•12 нояб. 2017 г.
Good teaching and learning but quite a lot of personal work and the examples are all but fun to work with.
автор: shoeb k
•15 июня 2017 г.
Good to start on Data Science covers a good starter point, giving a practical approach and theory as well.
автор: Joseph R
•13 сент. 2021 г.
El curso es bastante bueno y tiene buenos contenidos. Revisar las instrucciones en la asignaciones 3 y 4.
автор: SERGIO R E K
•5 сент. 2020 г.
I had a great time learning the contents, but I feel some of the lectures were too fast, at least for me.
автор: Avneet K
•14 авг. 2020 г.
Content,Assignments and Tutor were Excellent but More Explanation about each topic would have been better
автор: Vinh T
•26 янв. 2017 г.
good when it's been around for a while, else frustrated with a lot of unclear instruction and no support.
автор: BRIONES, D M (
•26 июня 2020 г.
Very helpful and convenient, although some assignments required multiple runs to get the desired results
автор: Radu B
•11 июня 2017 г.
Assignments were not specific enough about their requirements and how they will be tested for the grade.
автор: Bill G
•24 февр. 2020 г.
Students need more than basic knowledge in Python. Need intermediate to advanced skill level in Python.
автор: Tomasz S
•26 янв. 2018 г.
Very interesting.
Scope of video lectures should better covers skills necessary to complete assignments.
автор: Gallina S
•2 сент. 2021 г.
Week 4 should be expanded and ttests should be explained a bit better. Otherwise the course is great!
автор: harendran
•27 июля 2020 г.
Good course but need to explain programming concepts in detail,very difficult for beginners to follow.
автор: Nirman N R
•22 июня 2020 г.
This course can be made best by adding details of every variable and how to use it in a random project
автор: Mohd. S
•29 мая 2020 г.
Assignments are harder than what is taught in the course lectures. Otherwise a good course.Go for it.
автор: Artem K
•16 июня 2018 г.
40% of assignment time I was fighting with autograder. I hope course team is going to solve thus issue
автор: L G
•14 апр. 2018 г.
A fair introduction with good exercises, but the questions in the homework can be more clearly stated.
автор: pp
•8 сент. 2021 г.
might need about more on applicable functions of pandas. practice examples are good for fresh people.
автор: VENKATA S S R T D
•19 июля 2021 г.
Course is not much difficult but, learnt many important techniques in organizing and processing data.
автор: Muhammad U K
•6 мая 2020 г.
Assignments are a bit tough and are not explained thoroughly in the videos other than that, its great
автор: Daniel H
•17 июня 2019 г.
The automatic grader is very frustrating. It struggles to compile things that shouldn't be a problem.
автор: Tobias G
•7 апр. 2018 г.
The assignments are very interesting but the course materials should give more examples and guidance.
автор: Ciro F I B
•18 мар. 2017 г.
Will be useful to take the Phyton Cpurse before this one. You only learn when you do the assignments.
автор: Erik K
•6 февр. 2017 г.
Basically assignments were unclear (I had to do lots of resubmissions), but everything else was fine.
автор: Juan M E
•10 июля 2020 г.
It could be better if assignment submission were more friendly instead of exact answer like a robot.
автор: Ronald S
•6 апр. 2020 г.
The course was nice and informative.
Just the Questions in the assignments were tricky to understand.