Analysis, algebra and geometry for scientific and preparatory courses (high school & university level)

💻 Online Course: General Physics and Engineering Applications Full title: Mechanics, Electricity and Thermodynamics for Scientific and Medical Studies (100% distance learning — high school, science degree, PACES, engineering level) Sharing physics is more than a job for me: it's a passion. I'm committed to showing that this discipline, often considered difficult, can become intelligible, logical, and even captivating when explained with clarity, pedagogy... and a little enthusiasm. I know that students can sometimes lose their footing in physics, not because they are incapable, but because the concepts are poorly presented or disconnected from reality. My role is therefore to make the fundamental ideas of mechanics, electricity, thermodynamics, and waves accessible—by linking them to real-world examples and modern applications, particularly in medicine and engineering. 🎯 Course objectives Consolidate the fundamental bases of physics in order to succeed in exams, competitions or tests. Provide clear and illustrated explanations, adapted to the level and profile of each student. Give the student concrete tools to reason, solve exercises, and understand the physical phenomena around them. Effectively prepare students in medical, engineering or scientific courses for the demanding subjects of their training. 📚 Course content ✔ Kinematics and dynamics – Rectilinear and circular movement – Newton’s laws and forces – Energy, work, power ✔ Electricity & circuits – Current, voltage, resistance (Ohm’s law) – Series/parallel circuits – Capacitances, coils, Kirchhoff’s laws – Electric fields and potentials ✔ Basic thermodynamics – Temperature, heat, internal energy – Ideal gas laws – First and second principles of thermodynamics – Simple applications in medicine and engineering (heat transfers, engines, etc.) ✔ Optics and waves – Wave propagation – Reflection, refraction, lenses and mirrors – Sound and light waves – Notions of spectrum, interference, diffraction 🧭 Organization of sessions 1️⃣ Initial assessment to identify the student's level, difficulties and expectations. 2️⃣ Personalized program, with progression by themes and consolidation of acquired knowledge. 3️⃣ Rigorous methodology: scientific reasoning, solving typical exercises, comprehension tips. 4️⃣ Preparation for exams: practice exams, multiple choice questions, past papers (depending on the course taken). 5️⃣ Regular monitoring: progress reports, detailed feedback, organizational advice. 🌍 100% online courses – flexibility and efficiency Platforms used: Zoom, Google Meet, or tool of the student's choice Flexible hours, including for residents of Gulf countries Support provided after each session: summary sheets, corrected exercises, method reminders Courses available individually or in small groups, depending on preference. 👨‍🎓 For whom? Students of scientific or technical high schools Science undergraduate students, preparatory classes, engineering schools Medical students (PACES or equivalent) confronted with medical physics Each student progresses at their own pace, with their own strengths and limitations. My job is to restore their confidence, clarify what seems complicated, and help them achieve lasting, independent success. If you would like to know more or discuss your child's specific needs, I am here to listen.

💻 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.

This online course is designed for high school students who want to master essential mathematical concepts while developing a strategic approach to their learning. It aims to strengthen mathematical skills while highlighting effective methods for solving complex problems, in line with baccalaureate exams and applications in higher education. Educational objectives Consolidate the fundamental bases in analysis, algebra, geometry and probability. Develop problem-solving strategies adapted to the requirements of the baccalaureate. Understand the applications of mathematics in various fields (science, economics, engineering, etc.). Improve rigor and speed in mathematical reasoning. Promote autonomy and self-confidence in learning mathematics. Course content 1. Analysis and Advanced Functions Study of limits, continuity and derivability Optimization and concrete applications Integration and calculation of areas Simple differential equations 2. Algebra and Geometry Manipulation of matrices and systems of equations Complex numbers and geometric transformations Vectors, planes and lines in space 3. Probability and Statistics Probability laws and random variables Descriptive and inferential statistics Applications to science and strategic decisions 4. Resolution Strategies and Methodology Algorithmic approach and programming in Python Heuristic methods and modeling techniques Time management and strategies for exam success Methodology and Evaluation Interactive lessons with step-by-step solutions and discussions with students. Progressive exercises to strengthen understanding and speed of execution. Case studies and projects to illustrate real-world applications of mathematics. Test simulations to effectively prepare for the baccalaureate. Target audience This course is aimed at final year students (mathematics or complementary specialization) wishing to deepen their mastery of mathematics and improve their performance in exams and competitions. With this course, each student will be able to approach mathematics with method and confidence, developing valuable skills for their academic and professional future.