Learn and Master Data Science from Scratch with Python

From 26 € /h

Learn Data Science from Scratch with Python

I am a graduate of the University of Westminster, where I began my journey into data science and machine learning through hands-on data analysis for physical and mathematical models. With over 16 years of experience teaching computer science and programming, I have developed a comprehensive approach to teaching data science that emphasizes practical application and project-based learning.

My lessons are tailored to suit both complete beginners and those who wish to deepen their understanding of data science and machine learning. Each session is designed to help you not just learn, but apply data science concepts effectively to real-world projects.

What I Offer:

Project-based learning: Engage in practical projects that will enhance your understanding of machine learning and data science. Examples of projects include:

- Predictive Modeling: Create a model to predict house prices, stock market trends, or sales forecasts using regression techniques.
- Data Classification: Build a spam email classifier, sentiment analysis tool, or an image recognition application.
- Clustering Algorithms: Apply clustering techniques to segment customer data for targeted marketing or identify groups within a dataset.
- Time Series Analysis: Forecast future trends using time series data, such as weather patterns or economic indicators.
- Recommendation Systems: Develop a movie or product recommendation engine using collaborative filtering techniques.

Customized lessons: Each lesson is tailored to your current skill level and goals. Whether you are starting from scratch or looking to fine-tune your expertise in Python, TensorFlow, scikit-learn, or other machine learning libraries, I adjust the content to match your needs.

Comprehensive ML pipeline training: Gain an in-depth understanding of the complete data science pipeline, including data collection, cleaning, feature engineering, model training, evaluation, and deployment.

Portfolio and project support: Receive guidance on developing projects that showcase your skills, whether for your personal portfolio or as part of a bootcamp assignment. I will help you ensure your projects are both functional and impactful.

Pre-class materials and homework: Access study materials prior to each session and complete follow-up assignments to consolidate what you’ve learned and apply it independently.

Flexible online lessons: Learn from the comfort of your home with lessons that fit your schedule.

My teaching approach focuses on fostering critical thinking and problem-solving skills that are essential for a successful career in data science. I have collaborated with companies, start-ups, and educational institutions, bringing practical, hands-on knowledge to students and professionals looking to excel in the field.

If you are ready to build a strong foundation in data science and gain the practical experience needed to excel in real-world scenarios, contact me to discuss your learning path and project ideas.

Location

Online from United Kingdom

About Me

I am a graduate of the University of Westminster, since then working as a freelancer in Data Management, Machine Learning and Online Security. I believe only creating secure and reliable applications can lead to success in your projects.

My passion naturally led me to applying mathematical and physical principles to real-world problems through data science, machine learning, and programming projects.

With over 16 years of teaching experience, I have worked with students of all ages, helping them unlock their potential in subjects ranging from mathematics and physics to computer science and programming. My tutoring is project-based, meaning that I help students learn by doing – whether it’s building a Python application, exploring databases, or tackling complex mathematical concepts.

I’m committed to helping my students understand not just the "how," but also the "why" behind the concepts they are learning. I tailor each lesson to the student's learning style, ensuring a clear and engaging experience. My goal is to foster a love of learning, problem-solving, and critical thinking in every student I teach.

Education

Python for Data Science Certificate from MiT
Python in Cybersecurity Certificate from MiT
Web Applications with JavaScript Certificate from MiT

Westminster University
London, United Kingdom
Masters Degree

Experience / Qualifications

18 years of experience
Python for Data Science
Python in Cybersecurity
Web Applications
Django
Flask
SQL
noSQL
Node.js
Pandas
Numpy

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

45 minutes

60 minutes

90 minutes

120 minutes

The class is taught in

English

Polish

French

Skills

Python

Computer programming

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Master Databases through Practical Projects – Experienced Tutor with 16 Years of Teaching Experience

20 € /h

As a graduate of the University of Westminster, I began my programming journey by applying my skills to data management and analysis in various projects. Over the past 16 years, I have been providing private lessons in computer science, with a strong focus on teaching databases to students and professionals alike.

Whether you're a beginner learning about SQL or a more advanced learner seeking to optimize database performance, I offer tailored lessons designed to help you understand and apply database concepts in real-world scenarios.

What I Offer:
Learn databases through hands-on projects: You'll develop a deep understanding of relational databases (SQL), non-relational databases (NoSQL), and data modeling by working on real-world projects.
Customized lessons: Each lesson is adapted to your learning style and current level, whether you’re just starting or need to refine your skills.
Portfolio and project support: Need help building a database project for your portfolio or finalizing a boot camp assignment? I provide guidance to ensure your project is both functional and impressive.
Database optimization: Learn how to optimize queries, structure your data efficiently, and improve database performance.
Study materials and exercises: Before each session, you'll receive all necessary materials to prepare for the next lesson, followed by homework assignments to reinforce the concepts covered.
Flexible online lessons: Access lessons from anywhere, on a schedule that suits you.
I currently work as a freelancer with companies, start-ups, and schools, offering online lessons and project support in database management.

Ready to Dive into Databases?
If you're interested in mastering databases through practical, real-world projects, or if you have any questions, don't hesitate to reach out. Let's build your database skills together!

This ad emphasizes practical learning in databases, tailored for students and professionals looking to enhance their skills through real-world projects. Let me know if you'd like any further refinements!

Python Learning through Practical Projects - Tutor with 16 Years of Teaching Experience

29 € /h

I am a freelancer who graduated from the University of Westminster, where I began my journey into programming. During my studies, I started applying programming skills to solve physical and mathematical problems. Since then, I’ve developed a passion for continuous learning and have expanded my expertise in data implementation and software development.

For the past 16 years, I have been offering private programming lessons, helping students of all ages and backgrounds, from beginners to advanced learners. Whether you're a student looking to build a project portfolio, prepare for an exam, or a professional aiming to learn Python through practical applications, I can help you reach your goals.

What I Offer:
Learn Python by building projects: From the basics to more advanced concepts, you will learn programming through hands-on experience, working on real-world projects that solidify your understanding.
Customized lessons: I tailor each lesson to your learning style and needs, whether you're just starting out or looking to deepen your skills.
Project support: Whether you're working on a portfolio, completing a boot camp project, or preparing for an exam, I offer guidance and assistance to help you succeed.
Step-by-step approach: Before each lesson, you'll receive study materials and exercises designed to help you grasp the concepts we’ll cover. Afterward, you'll receive homework to reinforce what you've learned.
Flexible online lessons: Learn from the comfort of your home with flexible scheduling.
I currently work as a freelancer, collaborating with companies, startups, and schools to deliver online programming classes.

If you’re eager to learn Python in a practical, engaging way, or if you have any questions, feel free to send me a message - I will surely reply.

Thank you,
Alex

Hamza

4.88

(8)

Aged 31 and a Doctor in mathematical physics (theoretical physics), I teach physics and mathematics courses for high school and license in French, Arabic and English. As I have experience in the field of private lessons of 8 years and 2 years as teacher of the program of the French mission and access competitions to higher schools.

Youssef

4.88

(8)

Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

Matías

4.88

(8)

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.

Adam

4.88

(8)

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

Salah

4.88

(8)

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.

Roger

4.88

(8)

Do you want to learn programming but don't know where to start? Are you a beginner looking for clear explanations, or do you want to improve your coding skills with personalized support?

This private tutoring program is designed to help you master Python, one of the most versatile and easy-to-learn programming languages. Through a step-by-step approach, interactive exercises, and hands-on projects, you'll gain the confidence and skills to write code effectively and solve real-world problems.

💡 Why Choose this Program?
With these personalized courses, you will:
-
🚀 Learn at your own pace – Whether you’re a complete beginner or want to refine your skills, lessons adapt to your level.
🎯 Master the fundamentals – Understand key concepts like variables, loops, functions, and object-oriented programming.
🏗️ Complete hands-on projects – Work on real-world coding exercises, from simple scripts to mini-apps.
🐍 Develop problem-solving skills – Learn how to break down complex tasks and write efficient code.
🎓 Prepare for exams, jobs or personal projects – Whether you are a student, professional or enthusiast, Python is an essential skill.
💻 Get live support – Get real-time feedback, coding tips, and answers to your questions.
This interactive, hands-on learning experience ensures you understand Python while having fun coding!

📚 What Will You Learn?
This program covers everything you need to become comfortable with programming in Python:

✅ Python Basics (Great for Beginners)
Introduction to Python and installation of the development environment 🖥️
Variables, data types and user input 🔢
Operators and expressions 🧮
Conditional structures (if-else) and loops (for, while) 🔄
Writing and calling functions 🏗️
🚀 Intermediate Concepts (To Go Further)
Lists, Tuples, Dictionaries – Understanding Data Structures 📊
File Management – Reading and Writing Files 📄
Exception Handling – Making Your Code More Robust ⚠️
Introduction to modules and libraries 🏛️
🎯 Advanced Concepts (For the More Ambitious)
Object-Oriented Programming (OOP) – Classes, Objects, Inheritance 🏗️
Recursion and algorithm design 🧠
API and Web – Connecting Python to the web 🌐
Introduction to Databases – Storing and Retrieving Data 🗄️
🎨 Practical Projects & Applications
Creating simple games 🎮
Automation of repetitive tasks 🔄
Data analysis with pandas 📊
Web scraping and working with APIs 🌍
Introduction to Artificial Intelligence and Machine Learning 🤖 (optional for advanced learners)
🎯 An Interactive and Fun Learning Experience
Live Online Classes – Learn from home with interactive sessions via screen sharing.
Tailor-made lessons – Content adapts to your level for an effective and personalized learning journey.
Practical exercises and projects – Less theory, more practice! Learn with real-world examples.
Caring and motivating environment – No pressure, no judgment: progress at your own pace.
Practical application – Each concept learned is applied immediately through exercises and mini-projects.
🔔 For Who?
This program is ideal for:
✅ Complete beginners – If you’ve never written a line of code, no worries! The lessons start from scratch.
✅ Students – To prepare for programming courses, computer science exams or competitions.
✅ Self-taught – If you want to add Python to your skillset, this course offers you structured support.
✅ Professionals and people in retraining – Python is a sought-after skill in data science, automation and web development.
✅ Tech Enthusiasts – Curious to learn code? This course makes learning Python both fun and useful.

🚀 Ready to Embark on Your Python Adventure?
Join the "🐍 Personalized Private Lessons – 💻 Learn to Code and Program in Python!"
Gain the skills and confidence to write clean, efficient, and powerful code.

Sign up today and take your first steps into the exciting world of Python programming! 🔥

Amine

4.88

(8)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Baia

4.88

(8)

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.

Farouk

4.88

(8)

These courses are part of a structured and progressive training in Object-Oriented Programming (OOP) with JavaScript, designed for beginner or intermediate developers who want to understand in depth how the language works, write clearer, more maintainable code and prepare themselves calmly for modern frameworks like React ⚛️.

Object-Oriented Programming is often perceived as complex or abstract.

My goal is simple: to make it logical, concrete, and immediately applicable.

🎯 Training Objectives

Upon completion of this training, you will be able to:

Understanding what Object-Oriented Programming really is (and when to use it)
Create and manipulate objects in JavaScript in a clean and efficient way
Use ES6 classes, constructors, and methods with confidence
Mastering this, the prototype, and the instantiation logic
Apply encapsulation, inheritance, and polymorphism without confusion
Avoiding common mistakes made by OOP beginners
Structure your JavaScript code like a professional developer

📖 Training Plan – Object-Oriented Programming in JavaScript
1. Introduction to Object-Oriented Programming 🧠
Understanding the concept, objectives and benefits of OOP.
2. Procedural Programming vs. OOP
Why unstructured code quickly becomes unmanageable.
3. Objects in JavaScript
Properties, methods and representation of the real world.
4. The keyword this
Understanding the execution context (often poorly understood).
5. Limitations of simple objects
Why duplicating code is a bad idea.
6. Constructive functions
Create multiple objects from the same model.
7. The keyword new
What it's actually doing under the hood.
8. The prototype
Sharing methods and memory optimization.
9. ES6 Classes
Modern syntax and best practices.
10. The builder
Proper initialization of objects.
11. Data Encapsulation
Protect the internal state of objects.
12. Inheritance between classes
Reusing code intelligently.
13. The keyword super
Communication between parent and child in the classroom.
14. Polymorphism
The same behavior, several forms.
15. Composition vs. Inheritance
Choosing the right architecture.
16. Best practices in OOP
Write readable, scalable, and maintainable code.
17. Common mistakes made by beginners
Pitfalls to absolutely avoid.
18. Guided practical exercise
Creation of a concrete class (product, user, etc.).
19. Assessment Quiz (Multiple Choice Questions)
To validate the actual understanding of the concepts.

🛠️ Teaching method: Understand before writing

This training program is based on a progressive and pragmatic approach:
Clear and illustrated explanations
Concrete examples from real projects
Simple but effective exercises
Constant questioning to avoid rote learning
Adaptation to the learner's level and pace
Here, we don't "recite OOP" — we understand it.

🚀 Learner's result

At the end of the training, you will not only know how to write a JavaScript class.
You will know:

1- Why does it exist?
2- When to use it
3- and when not to use it

You will leave with:
a solid understanding of OOP
a cleaner and more professional code
an ideal foundation for learning React, Node.js or any other modern framework

Ammar

4.88

(8)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Azhar

4.88

(8)

Are you interested in learning Python but don't know where to start? This course is designed to help you understand the fundamentals of Python programming in a simple, practical, and enjoyable way.

Python is one of the most popular programming languages in the world. It is widely used in software development, automation, data analysis, artificial intelligence, and web development.

Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects

Aya

4.88

(8)

You have a kid that's interested in programming?? Set up a class for him with me. Aya a software engineer turned teacher. I was a software engineer for 3 years before I joined the teaching industry and I currently teach computer science in Chichester College in United Kingdom. I want to advocate for computer science and help familiarise kids at a young age with programming in Python.

Send me a message let's chat about what you want your kid to learn and what I can offer! :)

Khalil

4.88

(8)

Learn Python by building something you’ll actually use

Ever wanted to code but had no idea where to begin? You’re in the right place. In these relaxed, one-on-one lessons, you’ll go from zero to writing real programs, with no experience required.

Together, we’ll choose a project that fits your interests. Maybe it’s a video game you want to build or a quiz to challenge your friends, a chart built from your own spreadsheet, or a script that takes over a boring, repetitive task. Along the way, you’ll pick up the essentials (variables, loops, functions) and learn to read error messages without panic, so you can change your code with confidence.

Where you can go next

AI-assisted coding: Use tools like ChatGPT to brainstorm, decode errors, and improve your code, while learning to test its suggestions and explain how the final result works.
Machine learning: Train a simple model on a real dataset and see how well it predicts.
Your own project: Bring an idea from school, work, or a hobby, and we’ll break it into steps you can build at your own pace.

Your instructor

I’m an engineer with a master’s degree from Nagoya University and research experience in applied AI and computer vision. I explain every concept in plain language, then give you time to try it yourself with live feedback, so you’re never stuck alone.

Ready to start?

Send me a quick message and let's do your first coding project together.

Hugo

4.88

(8)

Is your code not doing what you want it to? Are you learning Python but just copying and pasting without really understanding?

Loops, functions, algorithms, data structures... Behind these intimidating concepts lie simple, visual ideas. My goal: to help you understand them, not just apply them.

These tools may seem difficult at first, but they make perfect sense once you visualize them in practice: seeing a loop run, a variable change, a list fill up. That’s the level I’d like to help you reach, using diagrams, analogies, and programs we’ll build together, line by line.

I offer computer science lessons (Python and other languages), from middle school through college, to help you:
- overcome obstacles and regain confidence,
- prepare for your exams (Brevet, Baccalaureate, midterms, entrance exams, NSI),
- make progress on your projects: lab assignments, scripts, games, digital projects...

Each lesson is tailored to your needs: we’ll go over the tricky parts, code together, and I’ll teach you methods to become self-sufficient.

Message me to schedule your first lesson: let’s make the abstract clear!

George

4.88

(8)

**Learn Programming, Python, Artificial Intelligence & Data Analysis with Practical Projects!**

Are you looking to learn programming from scratch, improve your coding skills, or prepare for a future career in technology?

I'm George Zakary, a Computer and Data Science graduate from Alexandria University and a programming instructor with hands-on teaching experience in Python, Data Analysis, Cybersecurity, and Backend Development.

I offer personalized, interactive online lessons for students across Saudi Arabia, the UAE, Kuwait, Qatar, and other Gulf countries.

**What can you learn with me?**

- **Python Programming:** From basic concepts to functions, loops, data structures, and Object-Oriented Programming (OOP).
- **Artificial Intelligence:** Introduction to AI, Machine Learning fundamentals, and practical applications.
- **Data Analysis:** Learn to work with data using Python, Pandas, and practical examples.
- **AI Automation:** Explore automation concepts and tools such as n8n.
- **Backend Development:** Build web applications using Python and Flask.
- **Cybersecurity Fundamentals:** Understand essential security concepts and safe computing practices.

**Why choose my lessons?**

My teaching approach focuses on simplifying complex technical concepts through real-world examples, live coding, practical exercises, and hands-on projects.

Every lesson is adapted to your age, experience, learning pace, and personal goals.

Whether you are a complete beginner, a school or university student, or a professional looking to develop new technical skills, I will help you learn step by step.

**Lessons are available in Arabic or English, with clear explanations tailored to Arabic-speaking students.**

**للطلاب في السعودية والإمارات والكويت وقطر وجميع دول الخليج:**

أقدم دروس برمجة أونلاين باللغة العربية بأسلوب بسيط وعملي، سواء كنت مبتدئًا تمامًا أو ترغب في تطوير مستواك.

سنتعلم خطوة بخطوة من خلال التطبيق العملي والمشاريع الحقيقية، مع خطة تعليمية تناسب مستواك وهدفك.

**Start your programming journey today!**