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Opiniones y comentarios de aprendices correspondientes a Processing Data with Python por parte de Coursera Project Network

4.4
estrellas
191 calificaciones
27 reseña

Acerca del Curso

Processing data is used in virtually every field these days. It is used for analyzing web traffic to determine personal preferences, gathering scientific data for biological analysis, analyzing weather patterns, business practices, and on. Data can take on many different forms and come from many different sources. Python is an open-source (free) programming language that is used in web programming, data science, artificial intelligence, and many scientific applications. It has libraries that can be used to parse and quickly analyze the data in whatever form it comes in, whether it be in XML, CSV, or JSON format. Data cleaning is an important aspect of processing data, particularly in the field of data science. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions....

Principales reseñas

PK
25 de sep. de 2020

Instructor Explains very well in the programming part and as well as project guidance thank you Coursera for offering such a wonderful Lectures and project tutorials Thank you once again

AK
17 de ago. de 2020

Great project to begin understanding data processing in python

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1 - 25 de 27 revisiones para Processing Data with Python

por PAMARTHI K

26 de sep. de 2020

Instructor Explains very well in the programming part and as well as project guidance thank you Coursera for offering such a wonderful Lectures and project tutorials Thank you once again

por Ashwin K

18 de ago. de 2020

Great project to begin understanding data processing in python

por BORRIS L S

23 de jun. de 2020

Really good if u know beginning python programmer

por Md. F I

15 de jun. de 2020

Worth a try. Good for getting an overview

por Daniela R L

8 de nov. de 2020

quick and easy, very basic

por Gangone R

5 de jul. de 2020

very useful course

por Jesus M Z F

18 de jun. de 2020

Excelente curso

por Syam K K S

11 de oct. de 2020

Recommended

por Doss D

23 de jun. de 2020

Thank you

por MOHAMMED B

16 de jun. de 2020

thank you

por Kamlesh C

24 de jun. de 2020

thanks

por Md. M

21 de jun. de 2020

Great!

por p s

23 de jun. de 2020

Good

por VIVEK K

12 de jun. de 2020

nice

por René C

22 de ago. de 2021

Interesting 'quick learning' course which puts you through a number of regular challenges that any Python developer will face in his career. Thanks to this short course, those challenges have been presented in a structured manner, which saves time and allows me to continue with other projects without having to dwell on the lower level details of 'how to manipulate Python' for large data sets.

por Fajle S H

25 de jun. de 2020

Thank you Coursera to give me this type of courses. Already I love python programming language. But after seeing this type of courses,I was very excited that how processing any data by this language. Thank You COURSERA......

por Aditya A S

21 de jun. de 2020

Yes, the project/course with respect to its length was helpful.

Check out more learnable amazing skills regarding programming: https://www.youtube.com/channel/UCdNOTa62J6j1109NQfxHqdg/playlists

por Somesh M

18 de jun. de 2020

its nice course good opportunity to learn a small thing to create a grate objective

por Sahil P G

3 de jul. de 2020

Good choice if anyone wants to get started with Pandas and data processing.

por Vedhavalli L

17 de jun. de 2020

superb

por MD. A E

27 de jun. de 2020

good

por Lokesh P

6 de ago. de 2020

good

por Adnan

12 de jul. de 2020

The explanation is very less in every part of this project. The instructor just keeps introducing stuff like I am proficient in Panda and came to take a review. Very less explanation on every part, but I have learned a new thing, Panda and its basic's basic!

por Steven F

23 de jul. de 2020

The web platform used is difficult to navigate.

por Mohammad D A

13 de jun. de 2020

It could have been more interesting.