Trusted teacher

Do you want to learn computer science, programming or deepen your knowledge in information technology? I offer courses adapted to all levels, from beginner to advanced. 👉 Introduction to Computer Science and Operating Systems 👉 Introduction and improvement in object programming (solid experience in the Java language) 👉 Web development and databases (HTML, CSS, Javascript, SQL) 👉 Cybersecurity and information systems management 👉 Support for your projects and help with homework Personalized courses, interactive teaching and guaranteed progress! Available online or in person. Contact me to discuss your goals and start your learning.

Trusted teacher

Young student in License 3 in computer science at the Faculty of Créteil, I propose to give courses in computer office automation, namely Microsoft Word, Microsoft Excel, Microsoft Power Point, and Computer Communication with software Adobe and Microsoft. Office Automation: As for desktop computing, the student will have the basics of applications, if necessary, then it will evolve from an intermediate level to an advanced level with a mastery of office tools for professional use. - With Microsoft Word, the student will be able to layout a document containing images, shapes, tables and graphs; Manage advanced formatting and be able to connect the Word document to a database to manage mailings. - With Microsoft Excel, the student will be able to manipulate the basic functions, namely digital operations, format tables, insert graphics and connect tables, etc. The idea of this course is to change the student from a beginner level to an intermediate level. - With Microsoft Power Point, the student will be able to prepare successful good presentations in design and special effects, use multimedia content in presentations. If the student is strong enough, he will be introduced to the use of the formidable tool, in terms of creation of interactive animation, which is Adobe Flash, to make outstanding presentations. Communication Computer Graphics: For graphic design classes, students will have a good introduction to Adobe Photoshop Tools, Adobe Illustrator, and Microsoft Expression Design, which is relatively similar to Adobe Illustrator, but much easier than Adobe Illustrator. - With Adobe Illustrator and Microsoft Expression Design, students will learn how to use the various tools for creating shapes and objects, learn how to trace and vector images, how to use different color profiles and different special effects, etc. This course is designed to bring a student from a beginner level to an intermediate level (or rather advanced, but not very thorough) - With Adobe Photoshop, the student will learn to use the tools for retouching images and creations, understand the concept of layers and understand how to manage color profiles in the different objects in the workspace. This course is really designed for beginners.

Trusted teacher

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.

Trusted teacher

14Students

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.

Trusted teacher

1Students

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.