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Learning a language or finding good introductory Python courses is relatively easy, but when it comes to mastering advanced concepts, finding free but high-quality resources can be a challenge. Most of the great content in advanced courses is usually limited to paid options. However, fear not! Today I have you covered. I will share a list of 5 advanced Python courses that you can take to improve your skills without spending a dime. So, without further waiting, let's dive in!
1. Specialization in Python 3 programming from the University of Michigan
This specialization, available on Coursera, is well known in the Python community and has a huge rating 4.7 and more 16,000 reviews. It consists of 5 courses covering a wide range of advanced topics. Since you're already familiar with the basics of Python, feel free to skip the introductory course and explore the rest. Here's a brief overview:
Course 2: Python Functions, Files, and Dictionaries: Dive into dictionary data structures, user-defined functions, classification techniques, and more.
Course 3: Collecting and processing data with Python: Master Python list comprehension, interact with REST APIs, and manipulate data efficiently.
Course 4: Python Classes and Inheritance: Learn about classes, instances, inheritance, and advanced class design principles.
Course 5: Python Project: Pillow, Tesseract and OpenCV – Get hands-on experience with image manipulation, text detection, and facial recognition using third-party libraries.
Course link: Specialization in Python 3 Programming from the University of Michigan
Note: You can audit this specialization to enjoy the content for free. However, you will not receive a certificate of completion unless you pay for the specialization.
2. Advanced Python by Patrick Loeber
Patrick Loebersoftware engineer and developer advocate AssemblyAI, offers an advanced Python course through videos on its YouTube channel. More than 263K subscribers. The code used for the explanation can be found on their website. His course covers a variety of topics, including:
- Lists, tuples, dictionaries, strings, collections and sets
- Functional programming with Lambda and Itertools functions
- Exception Handling, Logging, and JSON Manipulation
- Multithreading, multiprocessing and concurrency
- the asterisk
- operator
- Shallow Copy vs Deep Copy
- Context managers
And much more! Course link:
Advanced Python by Patrick Loeber
3. Learn Advanced Python 3 from Codecademy
codecademy is a popular online platform that offers numerous free courses. This particular course takes 6 hours
to complete and will take your Python programming skills to the next level. You will learn new paradigms that will give you the flexibility to create clean, effective code and make you a truly advanced Python 3 programmer. The fun thing about this course is that it includes mini-projects that deepen your understanding of the concepts under discussion.
- Here is the course content:
- Learn how to debug and trace software with logging, including an ATM project
- Explore creating efficient programs using functional programming, with a focus on higher-order functions.
- Analyze hotel databases using SQLite 3 to gain a deeper understanding of Python database capabilities.
- Deploy code more efficiently through concurrent programming techniques.
Learn how to package and deploy Python scripts using Flask for effective application delivery. If you find the advanced course content a little challenging, you can skip to yourLearn Python 3 Intermediate Course
. It covers topics such as functions, object-oriented programming, unit testing, iterators and generators, specialized collections, and resource management in Python. Course link:
Learn Advanced Python 3 from Codecademy
4. Python programming MOOC 2023
This course material page offers both the Introduction to Programming course (BSCS1001, 5 cr) and the Advanced Course in Programming (BSCS1002, 5 cr) from the Department of Computer Science at theUniversity of Helsinki
. If you're already familiar with the basics of Python, you can use the first part of the course as a refresher or skip it entirely. However, the real gem is in the second part, which focuses on advanced Python programming concepts. You'll find recordings, slides, and numerous exercises to hone your skills.
- This is what this course covers:
- Objects and methods, encapsulation, scope of methods and class attributes
- Class hierarchies, access modifiers, object-oriented programming techniques, and developing a larger application
- List Comprehensions and Recursion
- Functions such as arguments, generators, functional programming, and regular expressions
- PyGame – Animation, Events and Different Techniques
Python game project from scratch Course link:
Python programming MOOC 2023
5. Scientific Computing with Python (Beta) – FreeCodeCamp
If you prefer project-based learning, this course is ideal for you. He Scientific computing with Python (Beta)
The curriculum will provide you with the skills to analyze and manipulate data using Python. You'll learn key concepts such as data structures, algorithms, object-oriented programming, and how to perform complex calculations using a variety of tools.
- Let's take a look at the course content:
- Learn string manipulation by building a cipher
- Learn to work with numbers and strings by implementing Luhn's algorithm
- Learn Lambda Functions by Creating an Expense Tracker
- Learn to understand Python lists by creating a case conversion program
- Learn regular expressions by creating a password generator program
- Learn algorithm design by creating a shortest path algorithm
- Learn recursion by solving the Tower of Hanoi math puzzle
- Learn data structures by creating merge sort algorithm
- Learn classes and objects by creating a Sudoku solver
Learn how to traverse trees by creating a binary search tree
After these guided projects, you will be asked to work on some projects from scratch, such as an arithmetic formatter, time calculator, budgeting app, polygon area calculator, and probability calculator, to test your knowledge. . Course link:
Scientific Computing with Python (Beta) – FreeCodeCamp
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These free courses offer a fantastic opportunity to improve your Python skills without having to spend a lot of money. However, if you are eager to explore paid options for deeper learning, I recommend checking out the following resources: Here is a COUSIN for you: You can access “Architecture patterns with Python” for FREE on the author's website. Enjoy your contenthere
. Happy learning!