Online Course – Certified Professional Internship in Python 3 Development – University of Michigan Courses

Become a certified Python programmer! Learn the basics and experiment with independent programming.

Suggested by: Coursera (What is Coursera?)

Professional Certificate

Beginners Intermediate level Advanced involved

No prior knowledge required

Time to complete the course

7-day free trial

No unnecessary risks

Skills you will acquire in the course

  • Computer Programming
  • Python programming
  • sorting

What you will learn in the course

Courses for which the course is suitable

  • Python programmer
  • Software developer
  • Data Analyst
  • Application developer
  • API key
  • Optical Character Recognition (OCR) Specialist
  • Data Science Project Developer
  • Recommendation system developer

Internship – 5-part course series

This specialization teaches the fundamentals of programming in Python 3. We’ll start from the basics, with:

  • Variables
  • Conditions
  • Loops

And we will move on to medium materials such as:

  • Keyword parameters
  • Understanding lists
  • Lambda expressions
  • Class inheritance

You will have plenty of opportunities to practice. You will also learn ways to think about program performance so that it is no longer a mystery and you will be able to troubleshoot programs when they are not working.

By the end of the internship, you will have written programs that make API requests from the web for data and extract useful information from them. You will also be able to learn to use new modules and APIs yourself by reading the documentation. This will give you a great jumpstart towards becoming a freelance Python programmer.

This internship is a good step for you if:

  • You have completed the “Python for Everybody” course.
  • Interested in further deepening Python basics and more practice?

So you can confidently move on to specializations like “Applied Data Science in Python.” But it’s also a good first set of Python courses if:

  • Do you already know another programming language?
  • Or if you are up for the challenge of entering this world with a clear head

Applied Learning Project

At the end of the second course, you will create a simple sentiment analyzer that counts the number of positive and negative words in tweets. In the third course, you will connect two APIs to create a movie recommender. The final course, Python Project: Pillow, Tesseract, and OpenCV (Course 5), is an extended project where you will perform optical character recognition (OCR) and object recognition in images.

Details of the courses that make up the specialization

Python Fundamentals – Course 1

  • 26 hours
  • 4.8 (17,561 ratings)

Course Details

What you’ll learn
  • Learn the basics of Python 3, including conditional statements, loops, and data structures like strings and lists.
  • Develop practical programming skills by creating drawings and improving your error-checking abilities.
Skills you will acquire
  • Category: Data Structure
  • Category: Python Programming
  • Category: Data Evaluation
  • Category: Code Review

Functions, Files, and Dictionaries in Python – Course 2

  • 41 hours
  • 4.8 (5,295 ratings)

Course Details

What you’ll learn
  • Explore the dictionary data structure and user-defined functions in Python.
  • Understand concepts such as local and global variables, parameter passing techniques, named functions, and scientific expressions.
  • Implement Python’s sort function and return the sort order using custom functions.
  • Create a final project that deals with social media data analysis and CSV file manipulation.
Skills you will acquire
  • Category: Data Structure
  • Category: Python Programming
  • Category: Code Review

Collecting and Editing Data with Python – Course 3

  • 20 hours
  • 4.7 (3,944 ratings)

Course Details

What you’ll learn
  • Unleash and work with data in web services efficiently.
  • Master list comprehensions in Python for data extraction and processing.
  • We’ve expanded Python’s requests module to communicate with REST APIs and navigate API documents.
Skills you will acquire
  • Category: Python Programming
  • Category: Code Review
  • Category: Code Testing

Classes and Inheritance in Python – Course 4

  • 19 hours
  • 4.7 (3,621 ratings)

Course Details

What you’ll learn
  • Explore classes, instances, and inheritance to represent data efficiently.
  • Gain insights into class design and develop the practice of writing automated tests for your code.
  • Learn how to override built-in methods and create deprecated classes that will work with existing functions.
Skills you will acquire
  • Category: Python Programming
  • Category: Code Review
  • Category: Code Testing

Python Project: Software Engineering and Image Manipulation – Course 5

  • 8 hours
  • 4.2 (1,462 ratings)

Course Details

What you’ll learn
  • How to test and understand external APIs and libraries for use with Python 3.
  • How to implement the Python image library (pillow) to open, view, and modify images, including cropping, resizing, changing color, and placing text.
  • How to implement the tesseract library (pytesseract) with Python 3 to recognize text in images using optical character recognition (OCR).
Skills you will acquire
  • Category: Data collection
  • Category: Python Programming
  • Category: API Documentation