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1Students

I teach Python, C and C++ one to one, online or in person around Birmingham. Most of my students fall into one of three groups. Some are at GCSE or A-Level and need to get comfortable with a language before an exam or a coursework deadline. Some are at university, usually on an engineering or computing degree, and have hit something specific that isn't clicking: pointers, memory, recursion, object orientation, or a project that won't compile. And some are adults starting from nothing, often because work has started asking them to automate things. Lessons are built around code you can run. I'll ask what you're working on and where you got stuck, then we write something small together, break it on purpose, and work out what the error message is actually telling you. Reading error messages properly is half of programming and almost nobody teaches it. Areas I cover regularly: Python from the basics through functions, data structures, file handling, object orientation and libraries like NumPy and Pandas C and C++, including the parts that cause most of the trouble: pointers, memory management, structs, classes and compilation GCSE and A-Level Computer Science across all exam boards, including pseudocode, trace tables and written paper technique A-Level NEA projects and university coursework, plus debugging sessions and code review Embedded C for Arduino, ESP32 and microcontroller projects, which is the work I do professionally After each lesson I send written notes covering what we did, worked through step by step, so you have something to revise from later rather than trying to remember what was on screen. First session is free and lasts 30 minutes. We use it to work out what you need and whether I'm the right person for it. If I'm not, I'll say so and point you somewhere better. Message me with what you're studying and what's giving you trouble, and I'll tell you honestly how I'd approach it.

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I am a Cambridge graduate in CS, with over 10 medals and national distinctions for competitive programming. For over 5 years, I have helped hundreds of students discover how easy and beautiful Computer Science is: - Assisted students in improving from a C to an A* grade. - Helped motivated students qualify for the National Informatics Olympiad. - Guided many achieve their target grades in A-Levels, even attaining the perfect score. - Prepared for IB/IA, A-Levels, GCSE, University Entry, or equivalent. - Assisted with specific projects at a professional level, including interview preparation. All my success in Computer Science is due to my teachers, who knew how to inspire my passion and turn any concept into an easy-to-understand story. That's why I decided to help others further to elucidate the secrets of Computer Science and to smile with relief in the exam hall when they notice that they know how to solve all the subjects perfectly. It's amazing how quickly a student can progress when the material is explained to them in their understanding. I have a highly flexible schedule and can adapt to accommodate your needs. If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need :).

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This class is for people who want to develop an aptitude for solving Mathematical problems using programming languages. You don't have to have prior knowledge about programming or complex mathematics, I would focus more on building all concepts using basic logic. I believe that everyone has their own pace and their sense of comprehension, so my classes will be flexible to incorporate it.

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20Students

I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples. Topics include: pyRevit fundamentals and setup Automating repetitive Revit tasks (model checks, plan generation, data extraction) Writing custom scripts for your firm's specific workflows Applying Python automation to real MEP/BIM projects

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16Students

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it? This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio). What we cover, adapted to your level and goals: - Descriptive and inferential statistics (the ones that actually matter) - Data cleaning, exploration, and visualization - Regression, classification, and intro to machine learning - Time series and forecasting basics - R for statistical analysis and academic research Who this is for: - University students in statistics, economics, engineering, or biology - Professionals wanting to move into data analysis or data science - Researchers who need to process and present data properly I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

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7Students

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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2Students

These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️. Object-Oriented Programming is often perceived as complex or abstract. My goal is simple: to make it logical, concrete, and immediately applicable. 🎯 Training Objectives Upon completion of this training, you will be able to: Understanding what Object-Oriented Programming really is (and when to use it) Create and manipulate objects in JavaScript in a clean and efficient way Use ES6 classes, constructors, and methods with confidence Mastering this, the prototype, and the instantiation logic Apply encapsulation, inheritance, and polymorphism without confusion Avoiding common mistakes made by OOP beginners Structure your JavaScript code like a professional developer 📖 Training Plan – Object-Oriented Programming in JavaScript 1. Introduction to Object-Oriented Programming 🧠 Understanding the concept, objectives and benefits of OOP. 2. Procedural Programming vs. OOP Why unstructured code quickly becomes unmanageable. 3. Objects in JavaScript Properties, methods and representation of the real world. 4. The keyword this Understanding the execution context (often poorly understood). 5. Limitations of simple objects Why duplicating code is a bad idea. 6. Constructive functions Create multiple objects from the same model. 7. The keyword new What it's actually doing under the hood. 8. The prototype Sharing methods and memory optimization. 9. ES6 Classes Modern syntax and best practices. 10. The builder Proper initialization of objects. 11. Data Encapsulation Protect the internal state of objects. 12. Inheritance between classes Reusing code intelligently. 13. The keyword super Communication between parent and child in the classroom. 14. Polymorphism The same behavior, several forms. 15. Composition vs. Inheritance Choosing the right architecture. 16. Best practices in OOP Write readable, scalable, and maintainable code. 17. Common mistakes made by beginners Pitfalls to absolutely avoid. 18. Guided practical exercise Creation of a concrete class (product, user, etc.). 19. Assessment Quiz (Multiple Choice Questions) To validate the actual understanding of the concepts. 🛠️ Teaching method: Understand before writing This training program is based on a progressive and pragmatic approach: Clear and illustrated explanations Concrete examples from real projects Simple but effective exercises Constant questioning to avoid rote learning Adaptation to the learner's level and pace Here, we don't "recite OOP" — we understand it. 🚀 Learner's result At the end of the training, you will not only know how to write a JavaScript class. You will know: 1- Why does it exist? 2- When to use it 3- and when not to use it You will leave with: a solid understanding of OOP a cleaner and more professional code an ideal foundation for learning React, Node.js or any other modern framework

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While adults are still debating whether kids should use AI, they are already using it. The question isn't "should they?" it's "how do we do it intelligently?" In this course, your child will discover: ✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't ✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it ✓ What LLMs are (Large Language Models): in language they understand, not tech jargon ✓ Create with AI: custom avatars, interactive stories, real projects using real tools ✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do? ✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life Why this is different: Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI. Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits. And, more importantly: that they can control how they use it. What they take home: Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively. Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace For curious kids asking "How does ChatGPT actually know things?"