This course will show how one can treat the Internet as a source of data. We will scrape, parse, and read web data as well as access data using web APIs. We will work with HTML, XML, and JSON data formats in Python. This course will cover Chapters 11-13 of the textbook “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-10 of the textbook and the first two courses in this specialization. These topics include variables and expressions, conditional execution (loops, branching, and try/except), functions, Python data structures (strings, lists, dictionaries, and tuples), and manipulating files. This course covers Python 3.
ミシガン大学（University of Michigan）
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
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USING PYTHON TO ACCESS WEB DATA からの人気レビュー
May be a little tricky for people without much coding background, however for those with a little bit of coding, this is a great way to get exposure to python and network / net data types in one go.
This course was really interesting and did a good job introducing complicated topics in usefully simplified form. It was a pleasure to listen to the instructor and I got everything I wanted out of it.
This course is great to introduce you to regular expression, HTML, XML and JSON. Based on this course, you may dive into many other materials to further learning how to use python to access web data.
The course teaches the basics of how to interact with the internet using Python. The course is simple, well explained, has great interviews with people who were part of the creation of the internet.
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.