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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
22,499 calificaciones
5,043 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

May 10, 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

AU

Dec 10, 2017

Wow, this was amazing. Learned a lot (mostly thanks to stack overflow) but the course also opened my eyes to all the possibilities available out there and I feel like i'm only scratching the surface!

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4826 - 4850 de 4,966 revisiones para Introduction to Data Science in Python

por Nishant B

Jun 13, 2018

Very fast paced and concepts explanation was not upto the mark

por shailja

Jun 01, 2020

very tough tutorial is easy but assignment are very tough.

por Satyam c

May 25, 2020

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

por Shivani P

Jul 09, 2019

The lectures were not enough for the assignments provided

por Alejandro P A

Dec 22, 2017

Good content but too fast pace and confusing assigments.

por Camilo E A P

Aug 28, 2019

Jupyter notebook for assignments do not work properly.

por Sayali B

Jun 20, 2018

The questions are very hard and not covered in training

por Harshith S

May 23, 2019

Dint teach anything used in the assignments properly

por Joao V O C d B

Jul 27, 2020

The problem is the lack of practical exercises

por Christalin D

Jun 21, 2020

It's asking for money to continue the course

por Hari S S

Jul 30, 2020

A bit more motivation needed in this course

por W N

Nov 27, 2016

Good material, let down by instructors.

por laxmi n r j

Sep 03, 2017

Its too fast paced and less elaborated

por Alexander K

Apr 14, 2020

Nothing new. I recalled what I knew

por Stefano M

May 27, 2019

The lessons were too fast and dense

por Pranav t p

Sep 28, 2020

Very fast paced and poorly taught.

por Daniele

Mar 01, 2018

Theory is not related to exercises

por 김민섭

Apr 28, 2020

Good materials, annoying grading.

por Nachiketa N

Aug 21, 2020

Should have been more detailed

por LUKAS E G

Sep 11, 2020

Better reading a pandas book.

por zhangzhongquan

Nov 13, 2017

it's not very good

por V

Sep 11, 2017

Not much of a use.

por ANKIT A

Sep 02, 2020

Less interesting

por DHRUV S

May 05, 2020

hard assignments

por Arjunsiva S

May 09, 2020

Too fast paced