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.

🚀 Learn Python and Django to Build Powerful Applications 🚀 Want to master Python and develop real-world web applications with Django? Whether you're a beginner or looking to enhance your coding skills, this course will guide you step by step! What You’ll Learn: ✅ Python Basics & Advanced Concepts – Learn syntax, data structures, OOP, and algorithms ✅ Django Framework – Build dynamic and scalable web applications ✅ Databases & APIs – Work with PostgreSQL, SQLite, and REST APIs ✅ Project-Based Learning – Apply concepts through hands-on coding and real projects ✅ Debugging & Best Practices – Learn clean coding principles and error handling 🔹 Who is this course for? Complete beginners who want to start coding with Python Developers looking to transition into backend or full-stack development Students and professionals who want to build their own web applications 💻 Class Format: - Live online sessions via Google Meet - Interactive coding exercises & projects - Personalized guidance based on your level 📩 Contact me to start your Python & Django journey today!

This class is designed for absolute beginners who want to start their journey in programming with Python or C++. We’ll start from the very basics—understanding how code works, writing your first program, and gradually moving on to topics like variables, loops, conditionals, functions, and object-oriented programming (OOP). Whether you’re a school student, a university freshman, or just someone curious about coding, I’ll guide you step by step using clear explanations and hands-on practice. By the end of the course, you’ll be confident writing basic programs, solving problems, and ready to take on more advanced CS topics. No prior programming experience is needed—just curiosity and a willingness to learn!

“AI is the future.” You’ve heard it before, but what does it actually mean? Facial recognition, recommendation systems, self-driving cars—it all starts with data, algorithms, and code. The best part? You can learn it too. Whether you're a curious beginner or someone already dabbling with machine learning, I offer hands-on guidance through the AI jungle. Using libraries like Pandas, Scikit-learn, TensorFlow, and OpenCV, I’ve built projects ranging from eye-tracking systems to classification models. I know how to explain complex concepts in simple terms—and help you build real, working prototypes. From your first regression model to deploying your neural network, I’ll be your guide. Whether you want to understand the math behind it or just want results, we’ll move at your pace. available remotely across Europe.

Are you ready to become the tech-savvy problem-solver everyone turns to? Join this dynamic, hands-on class designed to unlock your full potential across four essential pillars of the digital age: 🧮 Mathematics – Strengthen your logical thinking and problem-solving skills, the foundation of all great tech minds. 🐍 Python Programming – Learn to code smart, build real-world projects, and automate anything. Python makes it fun and powerful. 🌐 Networking – Understand how the internet works from the ground up. Routers, protocols, IPs – we’ll demystify them all. 🔐 Cybersecurity – Learn how hackers think, how to protect systems, and start your journey into ethical hacking.

Data analysis is a valuable skill for students in many fields, from business and science to social studies. As a student, you'll need to understand how to collect, organize, and interpret data to support your research, class projects, or future career goals. I’ve designed this course as a hands-on introduction to data analysis that's made specifically for students. You’ll learn how to use tools like Excel, Google Sheets, and basic Python to clean data, create charts and graphs, and draw meaningful conclusions from real datasets. This class will help you build strong analytical skills that will not only boost your academic performance but also prepare you for data-driven world.

Hello! I am Hadia, and I am an experienced coding tutor for kids, teens, and adults. I teach Scratch and App Inventor coding for kids and Python for teens and beginners. I have 20 years of experience in the education field; I worked as a curriculum developer and educational supervisor, and I had the chance to teach computer science subjects for all grade levels, from kindergarten through secondary classes. I believe that teaching programming isn’t just about how to type lines of code. It is more about teaching how to think logically. I usually customize the content according to the student's needs and interests, and I encourage my students to create their own projects that make learning more meaningful and enjoyable.

This course is designed for anyone interested in learning data science using Python. It provides a hands-on introduction to fundamental data analysis tools such as NumPy, pandas, matplotlib, and seaborn. You'll learn how to manipulate datasets, create visualizations, and lay the foundations for statistical analysis and machine learning. The course combines theory and practical exercises for effective, practical progress. No prior programming experience is necessary: we'll start with the basics to build solid, usable skills quickly.

With a PhD in Physics and over 15 years of teaching experience, I offer advanced and engaging physics classes tailored to a wide range of learners. My background includes the publication of more than 30 research papers, reflecting a deep expertise in the subject. I incorporate modern tools such as Python, GeoGebra, and other advanced educational technologies to enhance conceptual understanding and problem-solving skills. My teaching approach blends theoretical rigor with interactive, tech-supported learning to help students grasp complex concepts effectively and confidently.

By delving deep into the practical applications of statistics and data science, this course is designed to set you up for success. Learn from real-world examples: Instead of spending hours on theoretical material and trying to relate it to practical issues, we will focus solely on applied statistics. Programming will allow you to apply theory to real-world problems, equipping you with the knowledge and skills you need to succeed. We won’t be spending hours solving math problems by hand for reinforcement, as this isn’t school. Instead, we’ll use cutting-edge methods and code libraries that leverage the latest software releases to maximize productivity and efficiency. If you have any further questions, please do not hesitate to contact us.

This course offers a progressive introduction to algorithmic thinking and Python programming. Through clear explanations, concrete examples, and practical exercises, learners will discover how to analyze a problem, design an efficient algorithm, and then translate it into Python code. No prior programming experience is required: this course is aimed at beginners who are curious to learn to code by solving problems in a logical and structured way.

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.

This class is specifically designed for children aged 8 to 13 who want to develop their logical and analytical skills and become expert coders in the future! The lessons will be taught based on the learning ability and understanding level of school children in this age group. We will cover all fundamental coding concepts that will help strengthen your logical thinking.

This course is designed for beginners who want to get started with programming in Python, one of the most popular and accessible languages today. No previous experience is necessary. In one session, students will learn the basics of programming and will be able to create their first Python applications. With clear explanations, practical exercises, and real-world examples, this course is an ideal gateway to exploring computer science and coding. Online Course: Introduction to Python - Programming Basics and Simple Applications Duration : - 60 minutes: intensive format to learn fundamental concepts. - 90 minutes: In-depth format with more time for practical examples and interactive questions. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the basics of programming, including the concepts of variables, data types, conditional structures, and loops. 2. Write and run simple Python scripts. 3. Manipulate inputs and outputs to interact with the user. 4. Solve practical problems with short, functional programs. --- Course syllabus 1. Introduction (10-15 min) - Presentation of Python: Why this language? - Installation and configuration of a programming environment (IDLE, Visual Studio Code, or Jupyter Notebook). - First program: *"Hello, World!"*. 2. Python Basics (20-30 min) - Variables and data types (integers, strings, lists). - Mathematical operations and data manipulation. - Conditional structures (if/else) and loops (for/while). 3. Practical exercises (20-35 min) - Write a program to calculate the sum of two numbers provided by the user. - Create a simple application, like a currency converter or password generator. - Bonus for 90 min format: Fixed a more complex issue involving lists or loops. 4. Q&A and conclusion (5-10 min) - Summary of the concepts covered. - Suggestions for resources to continue learning. - Feedback on the course. --- Teaching methodology - Interactive and engaging: the course combines theoretical explanations with practical exercises. - Personalized approach: Sessions are tailored to the needs of participants. Students are encouraged to ask questions at any time. - Learning by doing: examples and exercises are designed to help you assimilate concepts quickly. --- Target audience This course is ideal for: - Complete beginners in programming. - Students or professionals wishing to acquire skills in Python for their personal or professional projects. - Anyone curious to discover a powerful and versatile tool for solving problems. --- Benefits of this online course - Teaching by an experienced and passionate trainer. - Interactive sessions adapted to your learning pace. - Access to educational materials and exercises to continue practicing after the course. Join us now to discover programming and its applications using Python! ---

The "Algorithms in Python" course is designed to teach you the fundamentals and advanced concepts of algorithms using the Python language. You will discover fundamental data structures, programming paradigms (iterative, recursive, divide and conquer, dynamic programming), and learn how to efficiently solve algorithmic problems. Through practical exercises and projects, you will develop essential skills for analyzing and optimizing algorithms, while improving your programming logic.