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Comentários e feedback de alunos de Processing Data with Python da instituição Coursera Project Network

195 classificações
29 avaliações

Sobre o 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....

Melhores avaliações

25 de Set 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

17 de Ago de 2020

Great project to begin understanding data processing in python

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26 — 29 de 29 Avaliações para o Processing Data with Python

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.

por Bruce B

28 de Nov de 2021

This is a basic course at best and should not be branded intermediate. I took this course hoping to gain experience in real-world data cleaning and manipulation. The toy dataset and techniques demonstrated were basic and would not go far in a real-world application. Don't do it unless you are an absolute beginner, and even then, there are better courses out there.

por Mirosław J

21 de Jun de 2021

A​nother "type read_csv to read csv file"-style course, where nothing is explained. Do not recommend.