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.

Steve Oney
Paul Resnick
Christopher Brooks

Instructors: Steve Oney

233,615 already enrolled

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.7

(17,058 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

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Taught in English

Specialization - 5 course series

Get in-depth knowledge of a subject

4.7

(17,058 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

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  • Develop a deep understanding of key concepts
  • Earn a career certificate from University of Michigan
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Specialization - 5 course series

Python Basics

Course 134 hours4.8 (17,357 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 hours4.8 (5,248 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 (3,907 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 417 hours4.7 (3,586 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 519 hours4.0 (1,947 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 Courses477,835 learners
Paul Resnick
University of Michigan
9 Courses486,064 learners

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