About this Course
4.8
16,679 ratings
3,280 reviews
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 12 hours to complete

Suggested: 6 weeks of study, 2-4 hours/week...
Available languages

English

Subtitles: English

What you will learn

  • Check

    Retrieve data from websites and APIs using Python

  • Check

    Understand the protocols web browsers use to retrieve documents and web apps

  • Check

    Use regular expressions to extract data from strings

  • Check

    Work with XML (eXtensible Markup Language) data

Skills you will gain

JsonXmlPython ProgrammingWeb Scraping
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 12 hours to complete

Suggested: 6 weeks of study, 2-4 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
2 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....
Reading
6 videos (Total 21 min), 5 readings, 1 quiz
Video6 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
Reading5 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
Week
2
Hours to complete
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....
Reading
4 videos (Total 44 min), 1 reading, 2 quizzes
Video4 videos
11.2 - Extracting Data15m
Bonus: Office Hours - Den Haag2m
Bonus Interview: Bjarne Stroustrup - C++15m
Reading1 reading
Python Regular Expression Quick Guide10m
Quiz1 practice exercise
Regular Expressions20m
Week
3
Hours to complete
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)....
Reading
8 videos (Total 68 min), 1 reading, 2 quizzes
Video8 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
Reading1 reading
If You Want to Learn More10m
Quiz1 practice exercise
Networks and Sockets20m
Week
4
Hours to complete
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....
Reading
8 videos (Total 58 min), 1 reading, 3 quizzes
Video8 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
Reading1 reading
Notes Regarding the Use of BeautifulSoup10m
Quiz1 practice exercise
Reading Web Data From Python26m
4.8
3,280 ReviewsChevron Right
Career direction

32%

started a new career after completing these courses
Career Benefit

33%

got a tangible career benefit from this course
Career promotion

16%

got a pay increase or promotion

Top Reviews

Highlights
High quality content
(256)
Practical assignments
(217)
By JMDec 3rd 2016

I have not found an easy way to learn how to code with python language. Mentor are really helpful and Dr Chuck is one of the most self explain professor that I have met in my three university career.

By AGSep 13th 2017

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.

Instructor

Avatar

Charles Severance

Associate Professor
School of Information

About 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....

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....
Python for Everybody

Frequently Asked Questions

  • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

  • 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.

More questions? Visit the Learner Help Center.