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Course 4 – Python Programming Mastery

Overview

This 12-week applied coding course is designed to build practical Python skills through hands-on projects and real-world challenges. Students will learn to write efficient, modular code, apply validation techniques, and debug programs effectively. By the end of the course, learners will have developed a mini-portfolio of Python projects showcasing their ability to solve problems creatively and confidently.

12-Week Course

Our structured 12-week GCSE course builds confidence in theory, programming and exam technique in a focused small-group setting.

Effective rate: £45 per lesson over 24 structured lessons.

  • Max group of 5 students
  • Curriculum-aligned weekly lessons
  • Topic-based exam question practice
  • Revision tools and regular check-ins
  • Teacher feedback and progress updates

Detailed Week-by-Week Outline

Learning Objective: Install and configure Python tools.

Activities: Install Python, set up IDE (VS Code or PyCharm), and run first script.

Learning Objective: Understand integers, strings, and lists.

Activities: Practise variable assignments, type conversions, and list operations.

Learning Objective: Apply conditionals to solve problems.

Activities: Implement IF, ELIF, ELSE statements in real-world scenarios.

Learning Objective: Use loops to automate repetitive tasks.

Activities: Write FOR and WHILE loops for pattern generation and data processing.

Learning Objective: Create modular programs.

Activities: Define reusable functions, explore parameters, and return values.

Learning Objective: Work with nested lists and dictionaries.

Activities: Build programs using dictionaries for data storage and retrieval.

Learning Objective: Save and retrieve data from files.

Activities: Read/write text files, handle exceptions, and validate file operations.

Learning Objective: Apply input checking techniques.

Activities: Implement input validation for user data and error handling.

Learning Objective: Identify logic and syntax errors.

Activities: Debug faulty code using print statements and IDE tools.

Learning Objective: Develop a small application.

Activities: Create a calculator or text-based game applying learned concepts.

Learning Objective: Add data persistence and testing.

Activities: Enhance project with file storage and unit testing.

Learning Objective: Present and evaluate code.

Activities: Showcase final project, peer review, and receive instructor feedback.

Outcome:

Students will gain confidence in writing Python programs, applying modular design principles, handling data effectively, and debugging code. By the end of the course, learners will have completed two mini-projects and mastered core Python concepts essential for GCSE and beyond.

Key Benefits:

  • Hands-on coding experience with real-world projects
  • Expert guidance and personalised feedback
  • Practical skills for GCSE exams and future programming
  • Portfolio-ready projects to showcase coding ability

Ready to master Python and build real projects? Enrol now for guaranteed progress!

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