Since February 2025
Instructor since February 2025
Translated by Google
Mechanics,
From 43 C$ /h
💻 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.
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.
Extra information
All my courses take place online via video conference, which allows me to help students in Riyadh, Jeddah, Al Khobar, Dubai, Abu Dhabi and Doha, wherever they are.
This flexible format offers the same quality as a face-to-face course, while allowing you to learn in the comfort of your own environment.
This flexible format offers the same quality as a face-to-face course, while allowing you to learn in the comfort of your own environment.
Location
At teacher's location :
- Riyadh Saudi Arabia
- Dubai - United Arab Emirates
- Jeddah Saudi Arabia
- Tim Hortons, Abu Dhabi - United Arab Emirates
- Doha, Qatar
- Al Khobar Saudi Arabia
Online from Saudi Arabia
About Me
Professor Profile: Expert in Mathematics and Strategic Pedagogy
Presentation
The teacher of this course is a passionate and experienced educator specializing in teaching mathematics at the high school level, particularly in the final year. His teaching approach is based on mathematical rigor, clear explanations, and adaptation to the specific needs of students, in order to help them achieve academic excellence.
Qualifications and Experience
Qualifications: Holds a Master's degree in Applied Mathematics or in Mathematics Education.
Experience: Several years of teaching in high school, with particular expertise in preparing students for the baccalaureate exams and post-baccalaureate entrance exams.
Skills:
In-depth mastery of the final year curriculum (specialty and complementary mathematics option).
Ability to simplify complex concepts and offer explanations tailored to each student.
Experience in using digital tools and new technologies to optimize learning (GeoGebra, Python, mathematical simulation software, etc.).
Pedagogical Approach
Interactive methodology: Encourages active student participation through questioning, progressive demonstrations, and guided exercises.
Strategic learning: Teaches effective problem-solving methods, time-saving techniques, and exam-appropriate strategies.
Personalized support: We support each student according to their level and objectives, offering specific advice and resources.
Practical applications: Highlights the links between mathematics and other fields (science, economics, engineering, computer science) to give meaning to learning.
Commitment and motivation
The teacher is convinced that every student can progress and succeed with the right methods and appropriate motivation. He makes it a point of honor to create a caring and stimulating environment, fostering autonomy and self-confidence.
Thanks to his expertise and commitment, he guides students towards a better understanding of mathematics and optimal success in exams and competitions.
Presentation
The teacher of this course is a passionate and experienced educator specializing in teaching mathematics at the high school level, particularly in the final year. His teaching approach is based on mathematical rigor, clear explanations, and adaptation to the specific needs of students, in order to help them achieve academic excellence.
Qualifications and Experience
Qualifications: Holds a Master's degree in Applied Mathematics or in Mathematics Education.
Experience: Several years of teaching in high school, with particular expertise in preparing students for the baccalaureate exams and post-baccalaureate entrance exams.
Skills:
In-depth mastery of the final year curriculum (specialty and complementary mathematics option).
Ability to simplify complex concepts and offer explanations tailored to each student.
Experience in using digital tools and new technologies to optimize learning (GeoGebra, Python, mathematical simulation software, etc.).
Pedagogical Approach
Interactive methodology: Encourages active student participation through questioning, progressive demonstrations, and guided exercises.
Strategic learning: Teaches effective problem-solving methods, time-saving techniques, and exam-appropriate strategies.
Personalized support: We support each student according to their level and objectives, offering specific advice and resources.
Practical applications: Highlights the links between mathematics and other fields (science, economics, engineering, computer science) to give meaning to learning.
Commitment and motivation
The teacher is convinced that every student can progress and succeed with the right methods and appropriate motivation. He makes it a point of honor to create a caring and stimulating environment, fostering autonomy and self-confidence.
Thanks to his expertise and commitment, he guides students towards a better understanding of mathematics and optimal success in exams and competitions.
Education
Mathematics education, particularly at the final year of secondary school, plays a fundamental role in students' development by providing them with tools for reasoning, logic, and problem-solving. Here is an overview of the key aspects of mathematics education at this level:
Objectives of Mathematical Education in the Final Year of High School
1. Development of critical thinking: Learning to structure logical and rigorous reasoning.
2. Mastery of mathematical tools: Understanding and using key concepts such as analysis, algebra, probability and geometry.
3. Preparation for higher education: Acquire a solid foundation for courses in science, economics, engineering or computer science.
4. Real-world application: Linking mathematics to concrete problems in physics, economics, engineering, and scientific research.
5. Developing autonomy: Encouraging students to solve problems on their own and to apply effective learning methods.
Modern Teaching Methods
Problem-solving approach: Encourage experimentation and discovery.
Use of digital tools: Integration of software such as GeoGebra, Python or interactive platforms to visualize and simulate mathematical concepts.
Differentiated instruction: Adapting teaching to the level and pace of each student.
Collaborative learning: Encourage group work and discussions to enhance understanding.
The Importance of Mathematical Education
Mathematics is not limited to academic success; it develops intellectual rigor and analytical skills that are valuable for decision-making and problem-solving in many professional fields.
Within the framework of the course "Strategic Mathematics: Tools and Applications for Success in the Final Year of High School", the objective is therefore to offer a comprehensive and accessible mathematical education, combining theory, practice and effective learning strategies
Objectives of Mathematical Education in the Final Year of High School
1. Development of critical thinking: Learning to structure logical and rigorous reasoning.
2. Mastery of mathematical tools: Understanding and using key concepts such as analysis, algebra, probability and geometry.
3. Preparation for higher education: Acquire a solid foundation for courses in science, economics, engineering or computer science.
4. Real-world application: Linking mathematics to concrete problems in physics, economics, engineering, and scientific research.
5. Developing autonomy: Encouraging students to solve problems on their own and to apply effective learning methods.
Modern Teaching Methods
Problem-solving approach: Encourage experimentation and discovery.
Use of digital tools: Integration of software such as GeoGebra, Python or interactive platforms to visualize and simulate mathematical concepts.
Differentiated instruction: Adapting teaching to the level and pace of each student.
Collaborative learning: Encourage group work and discussions to enhance understanding.
The Importance of Mathematical Education
Mathematics is not limited to academic success; it develops intellectual rigor and analytical skills that are valuable for decision-making and problem-solving in many professional fields.
Within the framework of the course "Strategic Mathematics: Tools and Applications for Success in the Final Year of High School", the objective is therefore to offer a comprehensive and accessible mathematical education, combining theory, practice and effective learning strategies
Experience / Qualifications
Professor's Experience and Qualifications
Academic Qualifications
Master's degree in Pure or Applied Mathematics (from a renowned university)
Master's degree in Teaching, Education and Training (MEEF) specializing in Mathematics
Agrégation or CAPES in Mathematics (optional but valued for teaching in high school)
Certification in digital pedagogy and the use of technological tools for teaching
Professional experience
Several years of teaching in high school (first and final year classes, specialization and option in complementary mathematics)
Experience in exam preparation (baccalaureate, entrance exams for prestigious schools)
Mathematics instructor for intensive courses and advanced private tutoring
Participation in innovative educational projects integrating new technologies (Python, GeoGebra, numerical simulations)
Key Skills
Thorough mastery of the final year curriculum (specialty, core curriculum and complementary mathematics)
Ability to explain complex concepts clearly and progressively
Using digital tools to make learning interactive and engaging
Development of effective working methods adapted to the needs of students
Personalized support and guidance to help each student succeed
Thanks to these qualifications and experience, the teacher is able to effectively guide students towards a deep understanding of mathematics and optimal performance in exams and competitions.
Academic Qualifications
Master's degree in Pure or Applied Mathematics (from a renowned university)
Master's degree in Teaching, Education and Training (MEEF) specializing in Mathematics
Agrégation or CAPES in Mathematics (optional but valued for teaching in high school)
Certification in digital pedagogy and the use of technological tools for teaching
Professional experience
Several years of teaching in high school (first and final year classes, specialization and option in complementary mathematics)
Experience in exam preparation (baccalaureate, entrance exams for prestigious schools)
Mathematics instructor for intensive courses and advanced private tutoring
Participation in innovative educational projects integrating new technologies (Python, GeoGebra, numerical simulations)
Key Skills
Thorough mastery of the final year curriculum (specialty, core curriculum and complementary mathematics)
Ability to explain complex concepts clearly and progressively
Using digital tools to make learning interactive and engaging
Development of effective working methods adapted to the needs of students
Personalized support and guidance to help each student succeed
Thanks to these qualifications and experience, the teacher is able to effectively guide students towards a deep understanding of mathematics and optimal performance in exams and competitions.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
The class is taught in
English
French
Arabic
Availability of a typical week
(GMT -04:00)
New York
At teacher's location and via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
📊 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.
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.
💻 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.
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.
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