This course will walk you through a hands-on project suitable for a portfolio. You will be introduced to third-party APIs and will be shown how to manipulate images using the Python imaging library (pillow), how to apply optical character recognition to images to recognize text (tesseract and py-tesseract), and how to identify faces in images using the popular opencv library. By the end of the course you will have worked with three different libraries available for Python 3 to create a real-world data-analysis project.
Offered By
Python 3 Programming SpecializationUniversity of MichiganAbout this Course
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Shareable Certificate
Earn a Certificate upon completion
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Start instantly and learn at your own schedule.
Course 5 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 20 hours to complete
English
Subtitles: English
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Intermediate Level
Approx. 20 hours to complete
English
Subtitles: English
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
5 hours to complete
The Python Imaging Library
5 hours to complete
10 videos (Total 73 min), 2 readings, 1 quiz
10 videos
Welcome to Python Project: pillow, tesseract, opencv3m
Introduction to Jupyter Notebooks6m
How to install Jupyter on Windows (Optional)8m
How to install Jupyter on a Mac (Optional)8m
The Python Runtime Environment4m
Python Imaging Library (PIL)7m
Common Functions in the Python Imaging Library8m
Additional PIL Functions11m
Introduction to Week One Assignment2m
2 readings
Syllabus10m
Help Us Learn More About You!10m
2 hours to complete
Tesseract and Optical Character Recognition
2 hours to complete
6 videos (Total 41 min)
6 videos
Open-Source Software4m
The (Py)Tesseract Library7m
More Tesseract11m
Tesseract and Photographs11m
Jupyter Widgets (Optional)3m
14 hours to complete
Computer Vision with OpenCV
14 hours to complete
4 videos (Total 51 min), 5 readings, 1 quiz
4 videos
Comparing Image Data Structures12m
OpenCV17m
More Jupyter Widgets (Optional)3m
5 readings
Hint 110m
Hint 210m
Hint 310m
Hint 410m
Course Feedback10m
Reviews
TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV
by PMJun 23, 2020
This last course is much more challenging than the prior four, but provides a very good launch pad for taking what you've learned and getting you actually using the skills in building Python code.
by ACMay 25, 2020
I thought the course was very interesting and well structured. I really enjoyed it but the platform Jupyter was incredibly slow and the submission format of the final project was a bit silly
by MHJun 29, 2020
i would have rated it 5 star if not for very poor submission system. this course is very challenging and if you are not up for challenges think twice before enrolling.
by RKMay 4, 2019
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About the Python 3 Programming Specialization
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.
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.
More questions? Visit the Learner Help Center.
