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.
Offered By
Python for Everybody SpecializationUniversity of MichiganAbout this Course
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Learner Career Outcomes
34%
started a new career after completing these courses
33%
got a tangible career benefit from this course
15%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 19 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Korean, Russian, English, Spanish
Skills you will gain
JsonXmlPython ProgrammingWeb Scraping
Learner Career Outcomes
34%
started a new career after completing these courses
33%
got a tangible career benefit from this course
15%
got a pay increase or promotion
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 3 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 19 hours to complete
English
Subtitles: French, Portuguese (Brazilian), Korean, Russian, English, Spanish
Offered by
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.
Syllabus - What you will learn from this course
3 hours to complete
Getting Started
In this section you will install Python and a text editor. In previous classes in the specialization this was an optional assignment, but in this class it is the first requirement to get started. From this point forward we will stop using the browser-based Python grading environment because the browser-based Python environment (Skulpt) is not capable of running the more complex programs we will be developing in this class.
3 hours to complete
6 videos (Total 21 min), 5 readings, 2 quizzes
6 videos
Welcome to Python - Guido van Rossum1m
Windows 10: Installing Python and Writing A Program8m
Windows: Taking Screen Shots2m
Macintosh: Using Python and Writing A Program4m
Macintosh: Taking Screen Shots4m
5 readings
Python Textbook10m
Help us learn more about you!10m
Welcome to Python 310m
Notes on Choice of Text Editor10m
Notice for Auditing Learners: Assignment Submission10m
2 hours to complete
Regular Expressions (Chapter 11)
Regular expressions are a very specialized language that allow us to succinctly search strings and extract data from strings. Regular expressions are a language unto themselves. It is not essential to know how to use regular expressions, but they can be quite useful and powerful.
2 hours to complete
4 videos (Total 44 min), 1 reading, 2 quizzes
4 videos
11.2 - Extracting Data15m
Bonus: Office Hours - Den Haag2m
Bonus Interview: Bjarne Stroustrup - C++15m
1 reading
Python Regular Expression Quick Guide10m
1 practice exercise
Regular Expressions30m
3 hours to complete
Networks and Sockets (Chapter 12)
In this section we learn about the protocols that web browsers use to retrieve documents and web applications use to interact with Application Program Interfaces (APIs).
3 hours to complete
8 videos (Total 68 min), 1 reading, 2 quizzes
8 videos
12.2 - Hypertext Transfer Protocol (HTTP)14m
Worked Example: Sockets (Chapter 12)6m
Using the Developer Console to Explore HTTP10m
Bonus: Leonard Kleinrock - The First Two Packets on the ARPANET13m
Bonus Video: Robert Cailliau - co-Inventor of the Web9m
Bonus: Office Hours - Atlanta GA (Buckhead)3m
Fun: Dr. Chuck @ CNN Reading the News4m
1 reading
If You Want to Learn More10m
1 practice exercise
Networks and Sockets30m
4 hours to complete
Programs that Surf the Web (Chapter 12)
In this section we learn to use Python to retrieve data from web sites and APIs over the Internet.
4 hours to complete
8 videos (Total 58 min), 1 reading, 3 quizzes
8 videos
12.4 - Retrieving Web Pages6m
Worked Example: Using Urllib (Chapter 12)3m
12.5 - Parsing Web Pages9m
Worked Example: BeautifulSoup (Chapter 12)9m
Bonus: Office Hours - Montreal4m
Bonus Interview: Tim Berners-Lee - Inventing the Web1m
Fun: I Got My Mojo Working - Geneva, Switzerland5m
1 reading
Notes Regarding the Use of BeautifulSoup10m
1 practice exercise
Reading Web Data From Python30m
Reviews
TOP REVIEWS FROM USING PYTHON TO ACCESS WEB DATA
by MVMay 30, 2020
Highly recommended to anyone wants to learn the python to access web data, you will definitely learn the content smoothly with the awesome instructor, yeah, great instructor, i love his teaching style
by SMJun 18, 2020
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.
by ATAug 22, 2019
interesting course. well structured and paced with practical real-life examples and clear study materials. i strongly recommend this course for anyone considering learning python. Thank you Dr. Chuck!
by KRNov 26, 2016
Challenging assignments, great teaching. I don't understand half of what these computer nerds are talking about, but I am figuring out how to complete their assignments. I must be learning something.
About the Python for Everybody Specialization
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.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.
More questions? Visit the Learner Help Center.
