Python is widely used across industries for automation, web development, data science, and machine learning. This live, instructor-led course provides a structured, practical approach to learning Python, making it accessible for both new programmers and those transitioning from other languages.
Note: Available in three full-day or five partial-day sessions. Check the schedule for options.
Participants will develop a strong foundation in Python by learning core concepts such as syntax, data types, control flow, and key data structures. They will apply Python to real-world use cases, including automation, web scraping, GUI development, and game design, allowing them to build a portfolio of practical projects. The course also covers advanced Python features such as object-oriented programming (OOP), decorators, generators, and modules, enabling students to write more efficient and scalable code. Additionally, they will gain hands-on experience with industry-standard tools, including Jupyter Notebooks, Python libraries, and integrated development environments (IDEs), to write, debug, and deploy Python applications professionally.Upcoming Schedules
| Date | Time | Enroll |
|---|---|---|
| Nov 04 - Nov 06, 2026 | 8:00 AM - 4:00 PM Eastern | Add To Cart |
| Nov 30 - Dec 02, 2026 | 9:00 AM - 5:00 PM Eastern | Add To Cart |
| Dec 16 - Dec 18, 2026 | 9:00 AM - 5:00 PM Eastern | Add To Cart |
| Jan 11 - Jan 13, 2027 | 9:00 AM - 5:00 PM Eastern | Add To Cart |
Who should attend Introduction to Python Course
Introduction to Python Course Outline
Resources
FAQs on Introduction to Python
This course is designed for both new programmers with no prior coding experience and experienced developers looking to add Python to their skillset.
No prior experience is required. The course starts with foundational concepts like syntax and data types before progressing to advanced topics, making it suitable for beginners and experienced developers alike.
You’ll learn Python fundamentals including syntax, data types, control flow, and data structures, plus advanced features like OOP, decorators, generators, and modules. Practical applications include automation, web scraping, GUI development, and game design.
The course uses industry-standard tools including Jupyter Notebooks, various Python libraries, and integrated development environments (IDEs) for writing, debugging, and deploying Python applications.
Yes, the course culminates in a final project (Lesson 8) where you’ll apply the concepts learned throughout the course, building a practical portfolio piece that demonstrates your Python skills.


