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Opiniones y comentarios de aprendices correspondientes a Introduction to Data Science in Python por parte de Universidad de Míchigan

25,758 calificaciones
5,733 reseña

Acerca del Curso

This course will introduce the learner to the basics of the python programming environment, including fundamental python programming techniques such as lambdas, reading and manipulating csv files, and the numpy library. The course will introduce data manipulation and cleaning techniques using the popular python pandas data science library and introduce the abstraction of the Series and DataFrame as the central data structures for data analysis, along with tutorials on how to use functions such as groupby, merge, and pivot tables effectively. By the end of this course, students will be able to take tabular data, clean it, manipulate it, and run basic inferential statistical analyses. This course should be taken before any of the other Applied Data Science with Python courses: Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning in Python, Applied Text Mining in Python, Applied Social Network Analysis in Python....

Principales reseñas


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


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.

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276 - 300 de 5,684 revisiones para Introduction to Data Science in Python

por Yiming L

14 de oct. de 2017

course too fast, they don't explain anything, just run through example. The worst course I have taken on coursera.

por Stephen B

11 de abr. de 2017

Unorganized and not very useful. The main goal of the course is for you to use Stack Overflow.....SAVE YOURSELF $

por Ana O R

28 de mar. de 2017

This course is a joke. Contents is very very poor. And you will have a lot of problems making the Assigments.

por Mayank J

11 de abr. de 2020

The instructor was pathetic. He is simply reading the text and not putting in any efforts to explain things.

por Lulu L

21 de nov. de 2016

The lectures are insufficient, the homework instructions are incorrect, the autograder is terrible.

por Suwandy W

31 de may. de 2020

the teaching materials provided by christopher is too brief. can be improve by more elaboration.

por Vikash K

22 de jun. de 2018

pathetic course. Not for anyone who wants to learn python. Its for them who already know python


28 de nov. de 2020

Very tough question asked without proper teaching. Course should be made learning oriented.

por Madhubalini V

2 de nov. de 2020

very hard assignment and confusing that i have to withdraw from doing :(

por Adeel J

29 de oct. de 2017

Instructor is not interested in teaching but just reading out the script


30 de oct. de 2019

This course is not suited for beginners, who wanted to learn python.

por Sourav S

26 de jun. de 2018

Horrible. Explains nothingJohns Hopkins data science is FAR superior

por SAFO E

12 de ene. de 2021

i have been unable to follow the course and i want to exit

por Md I H

8 de ago. de 2020

Poorly organised. No helpful resource. Really sad course.

por haozhen6

27 de ago. de 2017

Vedio is useless, I only need to go through the code.

por Alireza A

10 de nov. de 2019

the teaching pace is very fast and not so clear.

por Brics C

27 de oct. de 2019

Gap between lecture and assignment is too high.

por james c

30 de abr. de 2019

Disconnected, too broad, could have been great.

por Justin S

2 de nov. de 2018

Worst class ever! The instructor sucks!

por Shivani A

24 de sep. de 2019

Not exactly benefited.Too fast

por 许骐

30 de ene. de 2019

autograding system is terrible

por Bugra S

2 de ene. de 2018

assigments are not clear

por Nitin K S

5 de dic. de 2019

The speed is too fast

por Riyanka M J

28 de ago. de 2020

not good course

por mah v

25 de sep. de 2020

It's boring.