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Advanced mathematics and statistics often present one of the main challenges encountered at university. Many students understand the lectures but find themselves stuck as soon as they have to solve exercises or prepare for exams on their own. For over 35 years, I have been supporting undergraduate students, BUT, PASS, business school students, as well as adults undergoing professional retraining, to help them acquire an effective work method and succeed in their exams. Subjects taught Analysis Linear algebra Matrices and linear systems Functions and optimization Descriptive statistics Probabilities Hypothesis testing Estimate Introduction to Python or SQL when the program requires it A clear and progressive method Each session is tailored to your course of study and your objectives. We work from your lectures, tutorials, exercises or past papers to precisely target the concepts that are causing problems. The goal is not just to succeed at one exercise, but to understand the method that will allow you to solve others independently. Session Procedure The courses take place entirely online with screen sharing and an interactive digital whiteboard. We alternate explanations, demonstrations and exercises with live corrections in order to immediately check understanding and progress effectively. Available formats 60-minute session Ideal for preparing for a tutorial, understanding a difficult concept or getting stuck on an exercise. 90-minute session Recommended for refresher courses, exam preparation, or in-depth study of a chapter. My commitment My goal is to help you understand mathematics in a lasting way rather than simply memorizing calculation methods. You will progress not only in your current exam, but also in the courses that will follow in your curriculum. Whether you are preparing for a midterm, a competitive exam, a semester validation or a return to studies, I will be happy to support you in your success.

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Hello all, BAC + 3 graduate in IT management as a developer analyst. I have been an IT support professional for 17 years. My job being very versatile and constantly evolving, I follow the evolution of IT and keep myself constantly updated in terms of skills and knowledge. Above all, I am passionate about my field and I will gladly share this with you. What I can offer to assist you in this world in full digitization: - IT for beginners: take the leap and become connected, computer or tablet, apps, basic settings, keep your devices functional, use the Internet, manage files - advanced computing: secure your internet at home, optimize wifi, understand advanced settings, buy online securely, save your data online or via a backup system at home. - social networks: understand the need to properly secure your personal data, configure, test, keep control over your digital identity - multimedia at home: operate and understand the interconnections with online platforms, your TVs, consoles, tablets, smartphones, connected objects and ensure that everyone is efficient and secure, shared multimedia storage - for IT students: logic, analysis method, relational database (modeling and SQL), basic windows / unix administration, TCP IP networks, security, VPN and firewall, task scheduling, .. Do not hesitate to ask me for one or the other point that I did not mention, it is so vast that I cannot list everything.

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I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver. In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition. I teach: • 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use. • 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners. • ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual. As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization. Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

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I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English. I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work. Who this is for Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos. I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it. What we cover Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation. How lessons work Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic. In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions. Practical details Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe. Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.