Key info |
Offered by | University of Michigan |
Description | 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.
Learning outcomes are: - using regular expressions to extract data from strings;
- understanding the protocols web browsers used to retrieve documents and web apps;
- retrieving data from websites and APIs using Python;
- working with XML (eXtensible Markup Language) data.
Learners will gain skills in Json, Xml, Python Programming, Web Scraping. |
Accredited by | Coursera |
URL |
https://www.coursera.org/learn/python-network-data
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