Mechanics, electricity and thermodynamics for scientific and medical studies

💻 Introduction to Python and Algorithmic Programming Full title: Python programming and introduction to algorithms for beginners and high school students (high school & university level) (100% distance learning — for high school students, college students, beginners or adults retraining) Programming is an essential skill today, whether for studies, personal projects, or the professional world. But when you're just starting out, it's easy to feel lost when faced with seemingly complex lines of code or computer logic. That's where I come in! With a progressive, caring, and structured approach, I help students get to grips with Python—one of the most accessible and powerful languages—while discovering the basics of algorithms in a simple and concrete way. My goal is to transform the apprehension of coding into curiosity and joy of learning, and to lay solid foundations so that each student progresses with confidence. 🎯 Course objectives Learn the fundamentals of Python programming from scratch. Develop logical and algorithmic reflexes. Understand and build simple but useful programs. Inspire a taste for programming through accessible and concrete projects. 📚 Course content ✔ Python Basics – Syntax, indentation, comments – Variables, data types (numbers, strings, lists...) – Conditions (if, elif, else) – Loops (for, while) – Simple functions – Notions of modules and libraries ✔ Algorithms for beginners – Understand what an algorithm is – Writing in pseudo-code and Python – Sorting algorithms (bubble sort, insertion sort, etc.) – Searching for items in a list – Getting Started with Recursion – Simple optimization and complexity ✔ First practical projects – Creation of mini-games (e.g.: guess the number, rock-paper-scissors) – Simple calculator or unit converter – Automation of basic tasks (for example: automatic sorting of a list of students) – Small personalized projects based on the student’s interests 🧭 How the sessions work 1️⃣ Assessment of level and objectives (complete initiation, reinforcement, preparation for a competition or a project). 2️⃣ Tailor-made progression plan, with concepts covered step by step. 3️⃣ Alternating theory/practice to quickly develop autonomy. 4️⃣ Exercises, mini-challenges and projects to apply each concept learned. 5️⃣ Corrections and detailed explanations for each difficulty encountered. 6️⃣ Personalized monitoring, with regular assessments and continuous adaptation of the pace. 🌍 100% online courses – modern and adapted teaching methods Sessions via Zoom, Google Meet, or any other tool of your choice Interactive materials provided after each session: annotated codes, PDF files, exercises, tutorials Flexible hours, compatible with busy schedules and time differences (ideal for students living in the Gulf countries or elsewhere) Possibility of individual or small group lessons (siblings, classmates, etc.) 👨‍🎓 For whom? High school students or students in a technology/science stream wishing to prepare for higher education Students at the beginning of a computer science or science course Adults in professional retraining, curious to learn to code Complete beginners wishing to develop their digital skills With me, you'll learn to think like a programmer, not just copy code. You'll gain logic, rigor, and autonomy—valuable assets for the future. If you have any questions or would like to discuss the most suitable path, please do not hesitate to contact me. I am here to guide you with enthusiasm and kindness.

📊 Introduction to Data Science with Python Full Title: Statistics, Data Visualization, and Machine Learning for Beginners (100% online course – for students, professionals in retraining, or curious data enthusiasts) Data science is now at the heart of the most innovative professions and strategic decisions in all sectors. However, when you're just starting out, you can quickly feel overwhelmed by technical jargon, Python libraries, or statistical models. With this course, my goal is to make this exciting discipline understandable and accessible to everyone, even without advanced mathematical training or computer science background. I offer step-by-step support based on practical experience, concrete projects, and a supportive teaching approach. You'll learn how to manipulate data, extract information from it, and create your first machine learning models with ease. 🎯 Course objectives Discover the basic tools of Data Science with Python Understand and apply the fundamental concepts of exploratory statistics Know how to manipulate, clean, visualize and interpret real data sets Carry out initial predictive modeling (linear regression, classification) 📚 Course content ✔ Fundamental libraries in Data Science – pandas: reading, cleaning and transforming data – numpy: mathematical operations and array manipulation – matplotlib & seaborn: clear and aesthetic data visualization – Getting Started with Scikit-Learn for Machine Learning ✔ Data cleaning and analysis – CSV file import and data mining – Management of missing values and duplicates – Creation of variables, filtering, groupings – Visualization: histograms, curves, heatmaps, boxplots... ✔ Introduction to Machine Learning – Understand how linear and logistic regression work – First classification models (KNN, simple decision trees) – Data separation (training/test set), single cross-validation – Interpretation of results and improvement of the model 🧭 How the sessions work 1️⃣ Assessment of the student's objectives: discovery, professional project, preparation for training, etc. 2️⃣ Personalized progression plan, adapted to the starting level. 3️⃣ Alternation of visual theory and intensive practice on real data sets (health, sports, finance, etc.). 4️⃣ Practical mini-projects at each stage: analyzing survey results, predicting simple results, automating analyses. 5️⃣ Explanation of errors encountered, individualized educational monitoring. 6️⃣ Regular assessment, with reinforcement of key points as needed. 🌐 100% online courses – accessible teaching methods Classes via Zoom, Google Meet, or the tool of your choice Live screen sharing, work on interactive notebook (Jupyter or Google Colab) PDF supports + commented code provided after each session Possibility of intensive coaching for training or an interview Flexible hours, adapted to the time zone of the Gulf countries and your availability 👨‍🎓 For whom? Complete beginners in Data Science and Python Students wishing to enrich their profile with practical skills Professionals retraining for data professions Anyone curious about understanding the world through data! This course has been designed so that each participant can progress at their own pace, develop their analytical logic and discover the pleasure of "making the data speak". Feel free to contact me to discuss your goals and build a customized program together. I would be delighted to accompany you on this wonderful adventure that is data science.

Ce cours en ligne est conçu pour les élèves de terminale souhaitant maîtriser les concepts mathématiques essentiels tout en développant une approche stratégique dans leur apprentissage. Il vise à renforcer les compétences en mathématiques tout en mettant en avant des méthodes efficaces pour la résolution de problèmes complexes, en lien avec les épreuves du baccalauréat et les applications dans l’enseignement supérieur. Objectifs pédagogiques Consolider les bases fondamentales en analyse, algèbre, géométrie et probabilités. Développer des stratégies de résolution de problèmes adaptées aux exigences du baccalauréat. Comprendre les applications des mathématiques dans des domaines variés (sciences, économie, ingénierie, etc.). Améliorer la rigueur et la rapidité dans le raisonnement mathématique. Favoriser l’autonomie et la confiance en soi dans l’apprentissage des mathématiques. Contenu du cours 1. Analyse et Fonctions avancées Étude des limites, continuité et dérivabilité Optimisation et applications concrètes Intégration et calcul d’aires Équations différentielles simples 2. Algèbre et Géométrie Manipulation des matrices et systèmes d’équations Nombres complexes et transformations géométriques Vecteurs, plans et droites dans l’espace 3. Probabilités et Statistiques Lois de probabilité et variables aléatoires Statistiques descriptives et inférentielles Applications aux sciences et aux décisions stratégiques 4. Stratégies de Résolution et Méthodologie Approche algorithmique et programmation en Python Méthodes heuristiques et techniques de modélisation Gestion du temps et stratégies pour réussir les examens Méthodologie et Évaluation Cours interactifs avec résolutions pas à pas et échanges avec les élèves. Exercices progressifs pour renforcer la compréhension et la rapidité d’exécution. Études de cas et projets pour illustrer les applications concrètes des mathématiques. Simulations d’épreuves pour se préparer efficacement au baccalauréat. Public cible Ce cours s’adresse aux élèves de terminale (spécialité mathématiques ou complémentaire) souhaitant approfondir leur maîtrise des mathématiques et améliorer leurs performances aux examens et concours. Avec ce cours, chaque étudiant pourra aborder les mathématiques avec méthode et confiance, en développant des compétences précieuses pour l’avenir académique et professionnel.

💻 Online courses: Analysis, Algebra and Geometry For high school students, science degree students and preparatory classes (100% distance learning, suitable for families in the Gulf and French-speaking students abroad) As a passionate teacher, I've always found true pleasure in sharing a love of mathematics. My goal is simple: to help each student progress with serenity, clarity, and method, by supporting them at their own pace, regardless of their starting level. I am convinced that difficulties do not come from the student, but often from an explanation that is too abstract or too hasty. With me, he will discover that mathematics can be logical, motivating, and even enjoyable to study. Each concept is approached patiently, in a climate of trust, and illustrated with concrete examples. 🌱 A human and personalized approach We move forward together, with kindness, to: Overcoming blockages and restoring the student's confidence. Understand the fundamental concepts of analysis, algebra and geometry, often at the heart of scientific curricula. Train effectively using a progressive methodology and suitable support. Pass exams and competitions without unnecessary stress. And, above all, rediscover the pleasure of learning. 📌 How do the sessions take place? 1️⃣ Assessment of the starting level to better understand the student's needs and target areas of work. 2️⃣ Personalized work plan, adapted to the pace and objectives set together: progressive exercises, review of the basics, in-depth study. 3️⃣ Coordination with curriculum expectations, to stay in line with courses taken in class or at university. 4️⃣ Preparation for assessments: role-playing, typical exercises, methodology, time management. 5️⃣ Regular assessment of progress and areas for improvement, in order to maintain a clear and encouraging vision of the progress made. 📚 Typical content (adjusted according to level) Analysis: functions, limits, derivatives, integrals, sequences. Algebra: systems of equations, matrices, determinants, vector spaces. Geometry: location, vectors, scalar products, geometry of space. 🌍 A flexible solution for expatriate families Videoconference courses (Zoom, Google Meet, etc.) PDF supports and corrected exercises provided after each session Flexible hours, adapted to Gulf time zones Possibility of individual or small group lessons 📘 In addition If you wish, I can also support the student in: The organization of one's personal work His career choices, by helping him make the link between his tastes and possible opportunities Preparation for intensive training before exams or the start of the school year Each student has their own pace and their own relationship with mathematics. My role is to support them with respect, attentiveness, and rigor. If you have any questions, I am available to discuss them.