Opiniones y comentarios de aprendices correspondientes a Introduction to Data Science in Python por parte de Universidad de Míchigan
Acerca del Curso
Principales reseñas
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
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.
5226 - 5250 de 5,724 revisiones para Introduction to Data Science in Python
por Dannis C
•29 de mar. de 2019
Very fast paced, you definitely need to have a solid background in Python and the different libraries.
por 卢雅丽
•20 de ene. de 2019
many functions were not included, so I have to look up many other materials to finish the assignments.
por Daniel D
•12 de jul. de 2020
Instruction was often unclear and difficult to follow. Be prepared to do lots of learning on your own
por Sajjad A
•5 de may. de 2021
For a beginner this course is a bit intermediate the assignment is not what a beginner should solve
por Agamemnon
•5 de ene. de 2018
Not clear enough to understand the lecture, also there is a huge gap between assignment and lecture.
por Renato M
•5 de abr. de 2020
There is a HUGE gap between the assignment and the lectures. Otherwise, it would be a great course
por Ajay D
•5 de jun. de 2019
Self- Teaching required too much. Feels as though you don't need the course and can achieve on own.
por Yi L
•9 de abr. de 2020
It was OK. Too many stuff needs self-learning. Better adjust the course schedule and assignments.
por vaibhav s
•8 de ago. de 2017
Assignments were quite time consuming. May be I did not had good background of python programming.
por Sushant N
•14 de jun. de 2020
teaching skills need to be improved as compared t assignment as it consumed much time per day.
por Rugved R K
•26 de jul. de 2020
professor could be more interesting like the one in programming for everybody in python course
por Abdul H R
•23 de abr. de 2020
This course needs more practicing session. There are a lot of lecture but not enough practice.
por Chaithali B
•16 de jun. de 2020
I had really tough time submitting the assignments but overall the course was good.
Thank You.
por Varun R
•27 de mar. de 2019
Too hard for beginners in programming. They should mention this before we pay for the course.
por Harshit D
•25 de may. de 2018
Assignments are great! They will force you to learn. The professor and lectures, not so much.
por Patavee M
•22 de mar. de 2017
Please provide more lectures. We depend on self-learning more than lectures in order to pass.
por Peter Q F
•15 de jul. de 2022
frustrating. there's no reason hidden tests shouldn't be part of validation. it's annoying
por Ahmed W
•6 de jun. de 2020
Needs more focus on Python. It needs an advanced level in Python libraries "Pandas & Numpy"
por Timothy P P
•15 de ago. de 2018
It's stuffed. I had to review the videos over and over with subtitles and had to read a lot
por Philip H
•15 de mar. de 2017
Difficult. I cannot recommend this course to everyone but just technically minded people.
por CSE_B_52_Md_Amaan_Shaikh
•13 de jun. de 2020
Include some theory part in this course,as this is introductory course for data science.
por Zhibo Y
•13 de sep. de 2021
assignment (especially assignment 4) are toooooo difficult for an introduction class!!!
por STEVEN V D
•13 de nov. de 2017
Good and clear video's and assignments. Unfortunately the auto-grader is a bit a pain.
por Surya G
•24 de ago. de 2020
Great course but not for beginners and also i felt the lectures were short and rushed
por Subhajit B
•18 de may. de 2020
It was too fast paced and I had to a lot of homework myself after the video lectures.
Coursera Footer
