15
Live Sessions
60 mins
Session Length
Applied Learning
Level
Kids & Teens
Suitable For
Live Online
Delivery
UK Time
Time Zone
LEARNING OBJECTIVE
By the end of this course, you will be able to
Build a graphical user interface application using Python and Tkinter that responds to what the user clicks or types.
Apply OOP principles, including encapsulation and inheritance, to design a properly structured Python program.
Debug a multi-file Python program by tracing which module or class is actually causing the error.
Run and test your own program with a range of inputs, not just the one that happens to work.
Present your finished project and explain your class design decisions clearly enough that someone else could extend it.
TARGET LEARNER
Who this course is for
For parents ready to stop letting their teen's basic Python stall and start building real, structured programs.
Parents of teens aged 12 to 18 who already know basic Python and are ready to go further.
Parents of teens preparing for GCSE or A-Level Computer Science who need OOP, files, and modules covered properly.
Parents whose teen can use variables and loops but needs help writing more structured, project-based programs.
If you see yourself in one of these, this course is built for you.
Prerequisites
What you need
Basic Python experience is required — this is not a beginner course.
Learners should be aged 12 to 18.
Comfortable knowledge of Python variables, loops, and simple programs is needed before joining.
A laptop with Python installed and a stable internet connection is required.
Learners should be ready to write structured programs and explore object-oriented principles and GUI development.
COURSE OVERVIEW
What this course is about
Python for Young Coders: Basics and Beyond is a structured, instructor-led programme for learners aged 12 to 18 who already know basic Python and want to go further. The course covers object-oriented programming, file handling, and graphical interface development in depth, combining modules that support GCSE and A-Level Computer Science topics with projects that go beyond what most beginners cover in school.
The programme runs across 15 one-hour live sessions over 8 weeks, progressing through advanced data structures and file handling, before moving into object-oriented programming and a graphical interface built with Tkinter, finishing with algorithm analysis and a final advanced project. Every topic builds on the Python fundamentals learners already have.
Comfortable knowledge of Python variables and loops is assumed throughout the course, since this is not a beginner course. A GUI application is built in stages from session one so learners are producing a real, responsive program throughout, not just console scripts.
What the course covers:
Data and Files: advanced data structures, and saving and loading data with files.
Object-Oriented Programming: classes, objects, and structuring larger programs.
Graphical Interfaces: building a GUI application with Tkinter.
Algorithms: analysing programs using Big O.
Project: a final advanced project, designed and delivered independently.
CIRRICULUM
8 Modules. 15 live Sessions. Hundreds of small wins.
The curriculum starts with advanced data structures and file handling, then moves through object-oriented programming before finishing with a Tkinter GUI, algorithm analysis, and a final advanced project.
01
Review and Level Up Your Python
Consolidate variables, loops, functions and data structures at a deeper level, then use list comprehensions and generator expressions to write more compact, professional code.
02
Work with Advanced Data Structures
Build nested lists and dictionaries, write dictionary comprehensions, and use sets to choose the right data structure for a given problem.
03
Save and Load Data with Files
Read and write text and CSV files with exception handling built in, then use those skills to build a small data management application.
04
Design Programs with Classes and Objects
Define classes with constructors and methods, then use inheritance and method overriding to build a working simulation project.
05
Build a Graphical Interface with Tkinter
Use Tkinter widgets, layout management and event handling to build a complete graphical application a real user could click through.
06
Analyse Algorithms and Big O
Implement bubble sort, merge sort and binary search, then use Big O notation to compare how efficiently each one solves the same problem.
07
Extend Python with Modules and Packages
Install and import third-party packages with pip inside a virtual environment, then use one to extend a program beyond Python's built-in tools.
08
Design and Deliver a Final Advanced Project
Plan, build and mentor-review a complete Python application that combines OOP, a graphical interface, file handling and an external module, then present it to peers and families.
Course Types
We offer three structured learning paths based on your goals:
Crash Course (Fast-Track)
Quick, intensive courses designed to teach specific skills efficiently. Ideal for those upskilling fast or preparing for certifications.
DeepDive Program (Full Mastery)
Comprehensive, step-by-step learning for full mastery. For beginners and professionals seeking long-term, deep expertise.
MentorConnect (One-on-One)
Personalised mentorship with real-world guidance. Best for those who thrive with direct, expert-to-learner coaching.
Learning Approaches
We recognize that everyone learns differently, so we offer flexible learning formats to fit your needs:
One-on-One Training
Personalized, instructor-led coaching tailored to your learning speed.
Best for career-specific coaching or specialized training needs.
Small Batch Classes (2-5 learners)
Interactive, discussion-based learning in small groups.
Encourages collaboration, teamwork, and peer-to-peer engagement.
FAQ
1
Who is this course designed for?
Python for Young Coders is designed for students aged 12 to 18 who already have basic Python familiarity they know what variables and loops are and are ready to go deeper. It is particularly suited to students preparing for GCSE or A-Level Computer Science who want Python as a genuine strength.
2
My child already knows some Python. Will this repeat what they know?
No. This course starts where basics end. From the very first module we revisit foundational syntax at a deeper level before moving into object-oriented programming, data structures, and GUI development with Tkinter. It is designed to challenge students who already know a little.
3
What will my child actually learn from this course?
Your child will master Python functions, OOP with classes and inheritance, working with lists, dictionaries, tuples, and sets, external modules, and will build a graphical interface using Tkinter as their final project. The curriculum is aligned to the GCSE Computer Science syllabus throughout.
4
How are the sessions conducted?
Sessions are one hour each, live and instructor-led online, run over eight weeks with 15 total sessions. Small group sizes ensure every student gets attention and support throughout.
5
What kind of support is built into the course?
Each module includes EngagePro byte-sized tasks 260+ challenges across the course. These are reviewed by the course instructor with specific written feedback on every submission. Your child builds steadily and has their work validated by an expert at every stage.
6
What equipment does my child need?
A laptop with Python installed and internet access. The course uses standard Python with no additional paid software required.
7
How do you keep older students engaged during the sessions?
The projects become progressively more ambitious from logic challenges to a full graphical user interface application. Older students are motivated by building things that look and feel real. The GCSE alignment also gives sessions academic purpose beyond just fun.
8
What happens if my child misses a session?
We arrange rescheduling for missed sessions so your child does not fall behind on any module.
9
Will my child receive a certificate?
Yes. On completion, your child receives the ITLearnner Python Young Coders Certificate, which evidences intermediate Python and OOP competence aligned to GCSE Computer Science standards.
10
How is this different from school Computer Science lessons?
School lessons cover the theory broadly and often cannot give individual attention to coding practice. This course focuses entirely on Python, moves at your child's pace, and includes personalised mentor feedback on every piece of code they write. The result is practical competence, not just theory knowledge.
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