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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
24,878 calificaciones
5,564 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

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.

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

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5101 - 5125 de 5,509 revisiones para Introduction to Data Science in Python

por Cunquan Q

11 de mar. de 2020

Too quickly for me! I need to stop and type the codes on my laptop!

por nitish k p

15 de jun. de 2020

the course should be updated and assignment questions are unclear

por Azadeh T

8 de jun. de 2020

The assignments are waaaay more difficult than the class material

por Subiksha P

3 de jun. de 2020

Last week assignment involved topic which was not taught in-depth

por Torsha M

4 de sep. de 2020

It has helped in building data structure and understanding of so

por riffault f

12 de may. de 2019

I would like to have more precisions during the video courses

por Tan L M

13 de may. de 2020

Course assignment is not on the same level as content taught

por Alessandro M

28 de jul. de 2020

Very good assignments shame the video lessons are very poor

por Asheesh L

28 de ene. de 2019

Course was ok. Submission of assignments is really painful.

por Rounak C

28 de abr. de 2020

Amazing content but needs to be a little more structured

por Giorgi B

19 de abr. de 2017

Much more difficult assignments than taught in lectures

por Swathi P P

2 de jun. de 2020

this course could have covered much more deeper topics

por HIMANSHU S

29 de may. de 2020

Its very useful for me. thank you so much for help me.

por Viren S

7 de jun. de 2020

Need basics to be cleared before entering this course

por Galen S

26 de sep. de 2017

Thought assignments could have been better designed

por Michael T

27 de dic. de 2016

To much disconnect between assignments and lectures

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 !