University of Michigan
Python 3 Programming Specialization
University of Michigan

Python 3 Programming Specialization

Become a Fluent Python Programmer. Learn the fundamentals and become an independent programmer.

Taught in English

Some content may not be translated

Steve Oney
Paul Resnick
Christopher Brooks

Instructors: Steve Oney

225,051 already enrolled

Included with Coursera Plus

Specialization - 5 course series

Get in-depth knowledge of a subject

4.7

(16,756 reviews)

Beginner level
No prior experience required
3 months at 10 hours a week
Flexible schedule
Learn at your own pace
Prepare for a degree

What you'll learn

  • Learn Python 3 basics, from the basics to more advanced concepts like lists and functions.

  • Practice and become skilled at solving problems and fixing errors in your code.

  • Gain the ability to write programs that fetch data from internet APIs and extract useful information.

Details to know

Shareable certificate

Add to your LinkedIn profile

Specialization - 5 course series

Get in-depth knowledge of a subject

4.7

(16,756 reviews)

Beginner level
No prior experience required
3 months at 10 hours a week
Flexible schedule
Learn at your own pace
Prepare for a degree

See how employees at top companies are mastering in-demand skills

Placeholder

Advance your subject-matter expertise

  • Learn in-demand skills from university and industry experts
  • Master a subject or tool with hands-on projects
  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Michigan
Placeholder
Placeholder

Earn a career certificate

Add this credential to your LinkedIn profile, resume, or CV

Share it on social media and in your performance review

Placeholder

Specialization - 5 course series

Python Basics

Course 134 hours4.8 (17,129 ratings)

What you'll learn

  • Learn Python 3 basics, including conditional statements, loops, and data structures like strings and lists.

  • Develop practical programming skills by creating drawings and building your debugging abilities.

Skills you'll gain

Category: Data Structure
Category: Python Programming
Category: Data Evaluation
Category: Code Debugging

Python Functions, Files, and Dictionaries

Course 231 hours4.9 (5,178 ratings)

What you'll learn

  • Explore the dictionary data structure and user-defined functions in Python.

  • Understand concepts like local and global variables, parameter-passing techniques, named functions, and lambda expressions.

  • Apply Python's sorted function and control sorting order with custom functions.

  • Create a final project involving social media data analysis and CSV file manipulation.

Skills you'll gain

Category: Data Structure
Category: Python Programming
Category: Code Debugging

Data Collection and Processing with Python

Course 316 hours4.7 (3,861 ratings)

What you'll learn

  • Fetch and process data from Internet services effectively.

  • Master Python list comprehensions for data extraction and processing.

  • Utilize the Python requests module to interact with REST APIs and navigate API documentation.

Skills you'll gain

Category: Python Programming
Category: Code Debugging
Category: Code Testing

Python Classes and Inheritance

Course 418 hours4.7 (3,546 ratings)

What you'll learn

  • Explore classes, instances, and inheritance to represent data efficiently.

  • Gain insights into class design and cultivate the practice of writing automated tests for your code.

  • Learn to override built-in methods and create inherited classes that reuse functionality.

Skills you'll gain

Category: Python Programming
Category: Code Debugging
Category: Code Testing

Python Project: pillow, tesseract, and opencv

Course 521 hours4.0 (1,903 ratings)

What you'll learn

  • How to inspect and understand APIs and third party libraries to be used with Python 3

  • How to apply the Python imaging library (pillow) to open, view, and manipulate images, including cropping, resizing, recoloring, and overlaying text

  • How to apply the python tesseract (py-tesseract) library with Python 3 in order to detect text in images through optical character recognition (OCR)

  • How to apply the open source computer vision library (opencv) to detect faces in images, & how to crop and manipulate these faces into contact sheets

Skills you'll gain

Category: Data Collection
Category: Python Programming
Category: API Documentation

Instructors

Steve Oney
University of Michigan
8 Courses462,661 learners
Paul Resnick
University of Michigan
9 Courses470,545 learners

Offered by

Why people choose Coursera for their career

Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."

New to Software Development? Start here.

Placeholder

Open new doors with Coursera Plus

Unlimited access to 7,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription

Advance your career with an online degree

Earn a degree from world-class universities - 100% online

Join over 3,400 global companies that choose Coursera for Business

Upskill your employees to excel in the digital economy

Frequently asked questions