Python Programming Online Course

Python Programming Online Course

With its increasing popularity in the last few years, the demand for Python skills in the job market is booming. Equipped with Python skills, you can easily enter some of the most exciting industries, including data science, web applications, and home automation.

In this course, you’ll learn Python by building impressive applications. The course starts with an introduction to Python, covering the basics and the installation process. As you advance, you’ll understand all about the inner workings of Python and write professional-grade code to develop applications by following the principles of Python and object-oriented programming (OOP).

Once you've got to grips with the fundamentals, you’ll delve into advanced Python concepts such as handling databases in Python, web development, and web scraping. You’ll also interact with APIs and learn advanced OOP concepts and GUI development with Tkinter. Toward the end, you’ll perform unit testing, learn about algorithms, data structures, and Python libraries, and end with a refresher on the major Python topics that’ll help you to encapsulate your learning so far.

By the end of this course, you’ll have mastered the Python skills needed to build robust and powerful applications.

Course Curriculum

1. Introduction to Python
2. Python Fundamentals
3. Milestone Project 1
4. Object-Oriented Programming with Python
5. Errors in Python
6. Files in Python
7. Databases in Python and Milestone Project 2
8. Type Hinting in Python
9. Advanced Built-in Functions in Python
10. Advanced Python Development
11. Web Scraping with Python
12. Browser Automation with Selenium
13. Asynchronous Python Development
14. Python on the Console and Managing Project Dependencies
15. Web Development with Flask
16. Interacting with APIs with Python
17. Decorators in Python
18. Advanced Object-Oriented Programming
19. Graphical User Interface (GUI) Development with Tkinter
20. Unit Testing with Python
21. Algorithms and Data Structures
22. Python Libraries
23. Python Reference/Refresher