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學生對 Coursera Project Network 提供的 Processing Data with Python 的評價和反饋

195 個評分
29 條評論


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....



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


Great project to begin understanding data processing in python


26 - Processing Data with Python 的 29 個評論(共 29 個)

創建者 Steven F


The web platform used is difficult to navigate.

創建者 Mohammad D A


It could have been more interesting.

創建者 Bruce B


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.

創建者 Mirosław J


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