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Do you want to learn programming, create a website, develop an application, or improve your skills in C# / .NET / React? I offer personalized courses tailored to your level, whether you are a beginner, student, adult career changer, or already a junior developer. This course is practice-oriented: the goal is not just to learn the theory, but to understand how to create real projects, write clean code and progress step by step. We can work on several topics depending on your needs: Programming basics: variables, conditions, loops, functions, arrays Algorithms and problem-solving logic C# and .NET / .NET Core Creating backend APIs with ASP.NET Core Databases: SQL, SQL Server, queries, relationships, CRUD Web development: HTML, CSS, JavaScript, TypeScript React: components, props, state, hooks, routing, API calls Frontend/backend connection with React + .NET Git, GitHub and best practices for version control Debugging, error fixing, and code improvement Clean code, simple architecture, project organization Introduction to artificial intelligence in development: ChatGPT, code generation, debugging assistance, automation Preparation for technical interviews: algorithms, C# exercises, code explanations Examples of possible projects: web application with React API in C# / .NET user login system mini dashboard CRUD application with database developer portfolio student or professional project My method is progressive, clear, and results-oriented. We'll move at your pace, with simple explanations, practical exercises, and concrete examples. I can help you from scratch or support you on an existing project. The goal is to make you more autonomous, more confident, and able to truly understand what you are developing.

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Are you looking for personalized support to progress in maths, discover IT or be supported in your homework? I offer support courses adapted to your needs and at your pace! 🧠 Mathematics: Strengthen your foundations, gain confidence and improve your math skills. Whether it's to prepare for exams or to deepen concepts, I help you understand key concepts. 💻 Computer science: Learn the basics of programming, discover algorithms and explore the digital world. Courses suitable for beginners as well as for those wishing to deepen their knowledge. 📚 Homework help: I support you in completing your homework and organizing your work. Support to improve your methods and develop greater autonomy. 👨‍🏫 Method and Pedagogy: I adapt to the level of each student to offer individualized monitoring and encourage understanding and progress. Classes can take place online or in person depending on your preferences. Contact me for more details, and let's move forward together towards your success!

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Engineer student in Bac +6 with two engineering degree and M2 I will transmit my culture and my background also my experience in all that is math info and big data. Graduate teacher offers an individualized pedagogy, assistance with the preparation of questions or exams. My goal is to advance the student without overburdening him. I give homework after each lesson and periodically provide progress reports

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Are you looking to ramp up your R tool skills? Beginner to intermediate level skills or intermediate level to advanced statistical tool Pro? If you have plenty of free time, I can help you with my experience and advanced background. I have a large experience in this field

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21Students

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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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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6Students

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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Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

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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.