This course is part of the Python 3 Programming Specialization

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Christopher Brooks

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Associated with the Master of Applied Data Science degree
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Python 3 Programming SpecializationUniversity of Michigan

About this Course

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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.
The course is best-suited for learners who have taken the first four courses of the Python 3 Programming Specialization. Learners who already have Python programming skills but want to practice with a hands-on, real-world data-analysis project can also benefit from this course.

This is the fifth and final course in the Python 3 Programming Specialization.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

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Coursera Labs

Includes hands on learning projects.

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Course 5 of 5 in the

Python 3 Programming Specialization

Intermediate Level

Approx. 19 hours to complete

English

What you will 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

Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Coursera Labs

Includes hands on learning projects.

Learn more about Coursera Labs

Course 5 of 5 in the

Python 3 Programming Specialization

Intermediate Level

Approx. 19 hours to complete

English

Instructor

Instructor rating

3.83/5 (239 Ratings)

Christopher Brooks

Assistant Professor

School of Information

783,614 Learners

14 Courses

Offered by

University of Michigan

Start working towards your Master's degree

This course is related to the 100% online Master of Applied Data Science from University of Michigan. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

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Syllabus - What you will learn from this course

Content Rating82%(3,718 ratings)

Week1

Week 1

5 hours to complete

The Python Imaging Library

5 hours to complete

10 videos (Total 73 min), 2 readings, 1 quiz

10 videos

Introduction to the Specialization11mWelcome to Python Project: pillow, tesseract, opencv3mIntroduction to Jupyter Notebooks6mHow to install Jupyter on Windows (Optional)8mHow to install Jupyter on a Mac (Optional)8mThe Python Runtime Environment4mPython Imaging Library (PIL)7mCommon Functions in the Python Imaging Library8mAdditional PIL Functions11mIntroduction to Week One Assignment2m

2 readings

Syllabus10mHelp Us Learn More About You!10m

Week2

Week 2

2 hours to complete

Tesseract and Optical Character Recognition

2 hours to complete

6 videos (Total 41 min)

Week3

Week 3

14 hours to complete

Computer Vision with OpenCV

14 hours to complete

4 videos (Total 51 min), 5 readings, 1 quiz

Reviews

4.0

457 reviews

5 stars
53.16%
4 stars
18.33%
3 stars
10.66%
2 stars
7.16%
1 star
10.66%

TOP REVIEWS FROM PYTHON PROJECT: PILLOW, TESSERACT, AND OPENCV

by UAJul 30, 2019

It's very interesting the assignment and the final project. But maybe you should think of changing the Jupiter notebook. It doesn't work correctly very often.

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 JSDec 3, 2020

Very interesting course on implementing the use of open source software. A bit challenging but still very doable.

by IASep 26, 2020

Very reach and useful. The project is pretty hard and requires more knowing use python, that it outside the scope of this course

View all reviews

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.

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.

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. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

Python Project: pillow, tesseract, and opencv

About this Course

What you will learn