Associate Professor of Information
9 Learning Experiences
Python 3 Programming
What You'll Learn
- Learn Python 3 basics, from the basics to more advanced concepts like lists and functions
- Gain the ability to write programs that fetch data from internet APIs and extract useful information
- Practice and become skilled at solving problems and fixing errors in your code
5-Course Series
118 hours
24 hours per course (approx.)
Shareable Certificate
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About Python 3 Programming
This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.
You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work.
By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer.
This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python.
But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.
Skills You'll Gain
- Data Analysis
- Text Classification
- Data Manipulation
- Data Structures
- Data Collection
- Python Imaging Libraries (Python Package)
- Debugging
- Data Validation
- Python (Programming Language)
- Web Development
- Code Testing
- Python For Data Analysis
- Object-Oriented Programming (OOP)
- Computer Programming
What You'll Earn
- Certificate of Completion
- Certificates of completion acknowledge knowledge acquired upon completion of a non-credit course or program.
Assistant Professor
4 Learning Experiences
Michael D. Cohen Collegiate Professor of Information
8 Learning Experiences
Lecturer
3 Learning Experiences
Course content developed by U-M faculty and managed by the university. Faculty titles and affiliations are updated periodically.
Beginner Level
No prior experience required.
5 Courses in this series
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Free U-M Access CoursePython Basics
Begin coding with Python 3 by learning control structures, data types, and visual programming with Turtle graphics.
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Free U-M Access CoursePython Functions, Files, and Dictionaries
Master user-defined functions, dictionaries, and file handling to perform text analysis and compute sentiment from social media data.
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Free U-M Access CourseData Collection and Processing with Python
Retrieve and process complex web data using Python APIs, list comprehensions, and build a real-world tag recommendation system.
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Free U-M Access CoursePython Classes and Inheritance
Learn to design and use Python classes, inheritance, and automated testing to build structured and reusable code.
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Free U-M Access CoursePython Project: Software Engineering and Image Manipulation
Create a portfolio-ready software engineering project using Python libraries for image recognition and manipulation.
What Learners Are Saying
The set of courses were great, quite amazing, and highly informative with super excellent and challenging assignments and projects that introduced me to data science and python programming.
Kennedy Kamande Wangari Learner in Kenya
Being Industrial Engineering student, we have to deal with several problem solving strategies and algorithm. Programming makes solving these problems easier. Python programming have boosted my knowledge on how to think problems and model these problems in simple form. …
Bikram Panthee Learner in Nepal
