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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
24,840 calificaciones
5,559 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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5351 - 5375 de 5,504 revisiones para Introduction to Data Science in Python

por OdmaaByambasuren

5 de nov. de 2020

Too general. I was expecting more to learn from this course.

por shailja

1 de jun. de 2020

very tough tutorial is easy but assignment are very tough.

por Satyam c

25 de may. de 2020

assignments are tough. didn't expect too much high level.

por Shivani P

9 de jul. de 2019

The lectures were not enough for the assignments provided

por Alejandro P A

22 de dic. de 2017

Good content but too fast pace and confusing assigments.

por Camilo E A P

27 de ago. de 2019

Jupyter notebook for assignments do not work properly.

por Sayali B

20 de jun. de 2018

The questions are very hard and not covered in training

por Deepalakshmi K

23 de may. de 2019

Dint teach anything used in the assignments properly

por Joao V O C d B

27 de jul. de 2020

The problem is the lack of practical exercises

por Christalin D

21 de jun. de 2020

It's asking for money to continue the course

por Hari S S

30 de jul. de 2020

A bit more motivation needed in this course

por W N

27 de nov. de 2016

Good material, let down by instructors.

por laxmi n r j

3 de sep. de 2017

Its too fast paced and less elaborated

por Alexander K

14 de abr. de 2020

Nothing new. I recalled what I knew

por Stefano M

27 de may. de 2019

The lessons were too fast and dense

por Daniele

1 de mar. de 2018

Theory is not related to exercises

por 김민섭

27 de abr. de 2020

Good materials, annoying grading.

por Nachiketa N

21 de ago. de 2020

Should have been more detailed

por LUKAS E G

11 de sep. de 2020

Better reading a pandas book.

por Yaron L

25 de may. de 2021

NOT ENOUGH PRACTIOTION!!!!

por zhangzhongquan

12 de nov. de 2017

it's not very good

por V

11 de sep. de 2017

Not much of a use.

por ANKIT A

2 de sep. de 2020

Less interesting

por DHRUV S

5 de may. de 2020

hard assignments

por Arjunsiva S

9 de may. de 2020

Too fast paced