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

4.5
estrellas
25,634 calificaciones
5,714 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

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.

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5251 - 5275 de 5,665 revisiones para Introduction to Data Science in Python

por Samuel L

4 de jun. de 2020

Please update the course pandas and numpy version!

por 18P917 V R M

5 de jun. de 2020

Assignment questions are not clearly communicated

por Bindu G

22 de ago. de 2018

assignments are too long and videos are too fast.

por Kalashnik A

29 de abr. de 2018

The quality of the testing system is really poor.

por Qinling Y

2 de oct. de 2018

The assignments are stimulating and interesting.

por Taha R

2 de jun. de 2018

Clear lectures. But assignments need to improve.

por F B

12 de mar. de 2021

This course provides a superficial introduction

por Vinay K V

16 de jul. de 2020

Course assignments are bit tough make it easy

por Mohamed A

21 de may. de 2020

Kinda fast paced and needs more explanation !

por Kondamudi S C

2 de ago. de 2020

The instructor taught this course very fast.

por Chen L

5 de abr. de 2017

More programming details should be included.

por Pravin A J D

9 de dic. de 2018

can be made a bit detailed course on Python

por Maxim P

14 de jul. de 2018

less talking more usefull guiding is needed

por Rohit R

12 de jul. de 2020

Lecture explanation could have been better

por Jinsuk H

15 de oct. de 2017

Good materials but video doesn't help much

por Oleg K

4 de nov. de 2018

Compare to Machine Learning from Stanford

por Shraddha K

2 de mar. de 2019

More elaborate lectures would help more!

por 丁浩然

7 de oct. de 2018

The assignment is a little bit hard....

por Lina L

27 de mar. de 2022

Good for beginners in pandas and numpy

por COMP-25 N S P

15 de jun. de 2020

more practice video need to be added

por Pakin P

10 de ene. de 2020

why not have expect output for check

por Venkata S K R C

5 de dic. de 2017

Totally not for absolute beginners .

por Deyi L

17 de may. de 2020

Homework is too hard for beginners.

por SAHARSH G

2 de nov. de 2019

Should be little more descriptive.

por Sara R

23 de jul. de 2018

Please change your teacher. Thanks