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: Abir H R
•10 мая 2020 г.
videos should be a more informative and Very hard exercise
автор: Haven X
•3 мая 2020 г.
good but the online notebook version is a little bit older
автор: Mike B
•11 окт. 2017 г.
Good, basic introduction to basics of the Python language.
автор: Ho Y C
•12 июня 2017 г.
The exercises are good for thinking and learning of python
автор: David A D A
•4 сент. 2020 г.
It was a little hard for me but i learned a lot.Thank you
автор: NIMIT T
•26 мая 2020 г.
it was great to learn this whole experiance is amazing: )
автор: Harshit Y
•10 мая 2020 г.
Assignment level is quite high as compared to content tau
автор: Nikhil Y
•13 дек. 2018 г.
Thank you Coursera for providing such a wonderful course.
автор: Christopher R J
•24 авг. 2018 г.
It is a best introduction about python and analysis data.
автор: Harmandeep K
•31 мая 2018 г.
Should make assignments more like a real business problem
автор: Ricardo W B
•1 окт. 2017 г.
Some of the assignments require too much time to complete
автор: Amit m
•15 мая 2017 г.
Good introduction. Hoping to see an intermediate course.
автор: Diego M
•22 июля 2020 г.
Very meaningful information and challenging assignments.
автор: Nikhil J
•17 июля 2020 г.
one of the best course to get started with data science.
автор: Christopher O
•10 июня 2020 г.
It was quite great with plenty of datasets to play with.
автор: Shikhar S
•2 сент. 2019 г.
Quite good, i wished they included more pandas functions
автор: Thiébaut L
•15 мая 2018 г.
A good start to learn about data management with python.
автор: Chuying Z
•24 дек. 2017 г.
A great course to experience data science through Python
автор: Amrita A
•10 окт. 2017 г.
Fast paced course but still useful if you are getting yo
автор: Jinbin F
•7 мая 2017 г.
It is a good course, but a little difficult for a newer.
автор: Santiago E F T
•10 апр. 2021 г.
The task are really hard even for a intermediate level
автор: Sneh P
•26 сент. 2020 г.
This course is best but lectures are little bit faster.
автор: PRIYANSHU C
•19 мая 2020 г.
some assignment questions are too hard but informative.
автор: Paarth B
•23 апр. 2020 г.
the pace and speed of teaching is fast according to me.
автор: Marco Z
•11 февр. 2020 г.
The final tests are problematic in the evaluating phase