I can teach any field of (physics - Math - any programming language) C++ java python dart Flutter- android native - Django ROS robot operating system Math 1 2 3 4 Experimental physics Electronic physics Quantum physics Geometric optics

Learn to code by creating your own games and interactive projects! These online lessons are designed for children and teenagers aged 7–17, from complete beginners to students with some coding experience. We choose Scratch, Python, or Roblox Studio based on your child’s age, interests, and level. Students learn programming concepts, practise logical thinking, and discover how to find and fix errors independently. I’ve been teaching since 2018 and have five years of software development experience. Each lesson combines clear explanations with practical activities in a friendly environment where questions are always welcome. Students also get access to my learning platform to review materials and practise between lessons.

I offer a programming / coding class for kids / adults. During my lessons, I perform a full tutorial of a programming language of your choice. If you do not have a choice I generally start with python as it is the most friendly one :). Programming is like learning another language and I am help you speak it. From my experience, going over basics takes 10 lessons on average but, of course, you are free to start and quit as you want or ask for a lesson specifically focusing on a certain aspect of programming. If this sounds like something you or your child (or both) would be interested in, let me know :))

Do you want to learn programming, improve your skills, or get help with a course, exercise, or computer science project? 💻 I have just completed a bachelor's degree in computer science, specializing in application development, and I offer courses tailored to your level and objectives. I can help you with, in particular: • The basics of programming and algorithms • Python, C#, JavaScript and SQL • Web development • Understanding and solving exercises • Preparing for exams and assignments • Assistance and support on IT projects • Git and the tools used in development Whether you are a complete beginner, a computer science student or simply curious to learn to program, the courses are adapted to your level. 🎯 My goal is to help you understand and gradually become independent. We will progress at your pace with simple explanations and concrete examples.

I offer personalized university-level support in Mathematics, Statistics, Signal Processing, Data Analysis, and Scientific Computing for undergraduate, Master's, and engineering students. Lessons are adapted to the student's academic program, level, and objectives, whether the goal is to better understand theoretical concepts, solve exercises and problems, prepare for exams, analyze experimental data, or develop computational methods for scientific and engineering applications. Depending on the student's curriculum and needs, lessons can cover: ¤ Mathematics — calculus, linear algebra, differential equations, complex numbers, numerical methods, Fourier analysis, and other mathematical tools used in physics and engineering ¤ Probability & Statistics — probability distributions, descriptive and inferential statistics, uncertainty, regression, statistical analysis, and interpretation of experimental data ¤ Signal Processing — time- and frequency-domain analysis, Fourier transforms, filtering, sampling, correlation, spectral analysis, noise analysis, and signal characterization ¤ Data Analysis — processing and visualization of scientific data, statistical interpretation, fitting, uncertainty analysis, and extraction of meaningful information from experimental measurements ¤ Scientific Computing — MATLAB and Python for numerical calculations, data processing, signal analysis, visualization, automation, and scientific applications My approach focuses on understanding the mathematical reasoning behind the methods rather than simply applying formulas or code. I help students connect theory with practical applications, understand why a particular method is appropriate, and gradually develop the ability to solve problems independently. I hold a PhD in Physics and have extensive experience using mathematics, statistics, signal processing, and scientific computing in experimental research. Throughout my doctoral work, I used MATLAB and Python for scientific data processing, filtering, correlation, noise and stability analysis, statistical characterization, and the analysis of optical measurements. Lessons can be provided in English or French, with explanations in Arabic whenever helpful.

Master Computer Science & Coding Concepts Easily! Computer Science doesn't have to be complicated. I focus on simplifying complex logic, algorithms, and practical programming so you can build strong foundational knowledge. What You Will Learn: Python Fundamentals: Data types, loops, logic, and object-oriented programming (OOP). Data Structures & Algorithms: Practical logic building and problem-solving techniques. Database & SQL: Basics of designing relational databases and writing queries. Data Analysis Tools: Introduction to Python libraries like NumPy and Pandas for real-world applications. Teaching Approach: Interactive live sessions with code-along exercises. Step-by-step breakdown of academic homework and practical assignments. Patient, structured, and student-centric support. Feel free to send a message or book a lesson to get started on your tech journey!

I specialize in tutoring programming and software development, with a focus on Java, Spring Boot, Angular, SQL. My goal is to help students build a strong understanding of programming while keeping lessons practical, engaging, and appropriately challenging—not overwhelming. This class is designed for students and aspiring developers who want to strengthen their programming skills or start their journey in software engineering. We can work on programming fundamentals, web development, databases, APIs, backend and frontend development. I use practical examples and hands-on exercises to help you understand concepts and apply them to real-world projects.

Learn practical software development skills through structured lessons tailored to your current experience, learning goals and interests. These lessons are designed for beginners and developing learners who want to understand how software is planned, developed, tested and improved. Topics can include programming fundamentals, application development, problem-solving, program logic, working with data, databases, APIs, version control with Git and GitHub, debugging, testing and understanding the software development lifecycle. Depending on your goals, lessons can also introduce technologies used in modern software development such as JavaScript, TypeScript, React, Node.js and working with front-end and back-end applications. The focus is on learning through practice rather than simply studying theory. We can work through coding exercises, small applications, software challenges and portfolio projects to help you understand how the different parts of software development work together. Lessons can also support students who want help understanding an existing project or want to strengthen particular areas of their development knowledge. No previous programming experience is required for beginner lessons.

This Python class is designed for anyone interested in learning programming, regardless of their previous experience or background. You will learn Python from the basics, starting with variables, data types, operators, conditions, loops, functions, and data structures. As you progress, you will also learn how to work with files, handle errors, and build practical programs. The class focuses on understanding programming concepts through simple explanations, examples, and hands-on practice. Whether you are a complete beginner, a student, a professional, or simply curious about coding, this class will help you build a strong foundation in Python programming.

Data Mining Algorithms and Techniques Training Course - Beginner and Intermediate Level, for Computer Science Professionals and Non-Professionals. The course content is titled: Advanced Analysis and Data Mining. The book can be searched for using its name or the author's name. Table of Contents Chapter 1: Introduction to Advanced Analysis and Data Mining 1-1 What is data mining, its procedures and tools 1-2 What type of data is mined? 1-3 What are databases? 1-4 Relational Database 1-5 Query Language 1-6 Benefits of Database Mining 1-7 months data mining applications A - Business Intelligence (Business Intelligence) B - Internet search engines Chapter Two: Data Recognition 2-1 Data Types, Characteristics, and Features 2-2 Statistical Description of Data 2-3 Visualization of Data 2-4 Measuring data similarity and difference Chapter Three: Preparing Data for Analysis and Mining 3-1 The importance of preparing data for analysis and mining 3-2 Data Cleanup 3-3 Data Integration 3-4 Data Reduction 3-5 Data Transformation and Data Individualization Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules 4-1 Basic Concepts 4-2 Shopping basket analysis (example) 4-3 Evaluating the dependency and correlation rules being explored 4-4 Mining Multi-Level Dependency and Linkage Rules 4-5 Mining multidimensional dependency and correlation rules 4-6 Rules of nominal and quantitative dependency and correlation 4-7 Exploring and identifying rare and negative patterns 4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage 4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones 4-10 Measuring the type and strength of the relationship in dependency and correlation rules 4-11 Applications of pattern mining in practical life Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms 5-1 Basic Concepts 5-2 Classification using decision tree extrapolation 5-3 Classification using probability theory (hypothetical theory) 5-4 Classification using hypothetical network theory 5-5 Classification using correlation rules extrapolation 5-6 Classification using neural network algorithm 5-7 Classification using the nearest neighbor algorithm 5-8 Multi-category classification algorithms 5-9 Evaluating the efficiency and selection of classification algorithms Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms 6-1 Basic Concepts 6-2 Clustering by Division 6-3 Hierarchical Clustering A. Hierarchical clustering b. Hierarchical fission 6-4 Probability Clustering 6-5 High-Dimensional Clustering 6-6 Clustering of graphs and network data 6-7 Conditional Clustering 6-8 Cluster Segmentation Assessment Chapter Seven: Analyzing and Mining Outliers and Complex Data Types 7-1 Basic Concepts 7-2 Types of extreme values 7-3 Ways to Explore Extreme Values 7-4 Complex Data Analysis and Mining Chapter Eight: Planning Data Mining Operations and Their Applications in Society 8-1 Planning Data Mining Operations 8-2 Data Mining in the Community 8-3 Data mining applications in vital areas of society 8-4 Practical Application: Recommendation System Usage Scenario Appendix 1: Database Fundamentals Appendix 2: Data Warehouse Fundamentals Appendix 3: Glossary of Data Mining Terms

I specialize in tutoring programming and computer science for university students and aspiring developers. Drawing from my practical experience as a Software Engineer at companies like Cloudflare, my goal is to help you build a solid foundation without feeling overwhelmed. The focus is to transition from academic theory to real-world application by working together on practical mini-projects. This class is for aspiring software engineers who want to bridge the gap between university and the tech industry. You'll learn how to write clean code, master technologies like Java, Python, React, or Docker, and leverage AI tools to optimize your studies. If you are struggling with complex concepts like distributed systems or algorithms, don't worry; I specialize in breaking them down into simple, digestible steps.

I offer mathematics courses adapted to all levels, from middle school to scientific preparatory classes (MPSI/MP), for the Tunisian and French systems. Middle school: strengthening of basic skills, methodology, preparation for tests and the national diploma. High school: algebra, analysis, geometry, preparation for the baccalaureate (maths specialization) and for exams in the Tunisian system. Preparatory cycle (MPSI/MP): support for DS, DM, practice exams, preparation for competitions (national Tunisian and French, CNC), correction of copies and writing methodology specific to the requirements of the competitions. My teaching method is based on the guided resolution of classic problems and the identification of recurring errors — the approach I also develop on my YouTube channel [link], where I correct in detail typical prep school exercises. Online or in-person courses, available in French.

Learn Python by actually building things. Whether you're starting from scratch, studying computer science, or already know the basics and want to become more confident, I'll help you learn Python through practical exercises and real projects. We can work on: • Python fundamentals • Variables, conditions, loops and functions • Lists, dictionaries and object-oriented programming • Working with files and APIs • Automation and useful scripts • Debugging and understanding existing code • Building small projects for your portfolio • Introduction to AWS and cloud projects I adapt the lessons to your current level and goals. You can also bring your own exercises, university assignments or personal projects and we can work through them together. The goal isn't just to memorize Python syntax — it's to understand how to use it to solve real problems.

Teaching python to beginners! In these classes, you will learn the basics of python programming, functions, lists, sets, and much more with practice assignments and assessments... I have experience in teaching python to university peers.

Modern software development goes far beyond just writing code. A professional developer must understand how frontend, backend, databases, cloud infrastructure, security, and deployment work together. In my hands-on lessons, you will learn how modern business applications are designed, developed, tested, and brought to production. Depending on your level and learning goals, we cover topics such as Java, object-oriented programming, Spring Boot, REST APIs, Angular, databases, microservices, Git, GitLab CI/CD, Docker, Kubernetes, AWS, Terraform, security, and troubleshooting. You will also learn how to use AI responsibly for programming, testing, documentation, and technical analysis. In addition, we always critically check and validate AI output. The lessons consist of clear explanations, live coding, practical exercises, code reviews, and realistic problems from professional software projects. For example, we can build, test, containerize, and deploy an Angular–Spring Boot application to a cloud environment together. The courses are suitable for Associate Degree Programming or Applied Informatics students, entry-level and mid-level developers, career changers, and professionals looking to deepen their knowledge of cloud, DevOps, or AI-assisted software development. You will learn not only which solution works, but more importantly why it works and how to independently analyze technical problems.

The teaching approach is student-centric. We start with a quick introductory meeting to set some learning goals. Usually during the lesson I deliver some theory and then get practical with exercises and real-world examples. Use of screen sharing, pair programming and collaborative tools come into great advantage. Looking forward to hear from you!

Do you want to learn Artificial Intelligence from scratch or do you need support with a subject, practice or project related to AI? The classes are online, one-on-one, and fully tailored to your level and goals. We can work from the fundamentals to practical applications using Python, generative AI tools, language models, and APIs. We can work on content such as: fundamentals of Artificial Intelligence; Python applied to AI and data processing; data preparation, cleaning and analysis; NumPy, pandas and data visualization; Introduction to Machine Learning; classification, regression and model evaluation; Generative AI and Language Models (LLM); use of ChatGPT, Gemini and other AI tools; design and improvement of prompts; consumption of AI model APIs; task automation using AI; AI integration in applications; search and work with information and documents; development of small projects and prototypes; internships, projects and exam preparation. The goal is not only to learn how to use AI tools, but to understand how they work, when to use them, and how to practically integrate them into your own projects. We can start from scratch, work on the syllabus of your subject, or develop a specific application or project step by step. In addition to the classes, you will have access to our educational platform with its own documentation, exercises, examples, practices and other resources to continue working between sessions. Additional information for the student You can bring your own syllabus, practical exercises, data, or project. We will adapt the classes to your prior knowledge and the objective you want to achieve.

As a senior computer science professor with over 19 years of experience, I offer courses tailored to students, beginners, and professionals. You will learn computer science, programming, SQL and NoSQL databases, as well as the main concepts of artificial intelligence. The courses are based on clear explanations, concrete examples, and practical exercises. The content is adapted to your level and objectives, whether you want to learn, prepare for an exam, complete a project, or improve your skills.

I'm a third-year Computer Science student at Maastricht University, and I sat AQA GCSE Computer Science myself in 2024. Because it wasn't that long ago, I still remember what it feels like to prepare for the exams, get stuck on certain topics and wonder exactly what an exam question is asking for. My main goal is to make Computer Science feel as clear and stress-free as possible. I want students to leave lessons feeling more confident about the subject and knowing exactly what they need to work on next. Lessons are always adapted to the student. We can work on theory, programming, algorithms, exam-style questions, revision, or simply spend time going over a topic that hasn't fully clicked yet. I like to explain things step by step and at the student's pace, then use examples and practice questions to make sure they genuinely understand it. Since taking my GCSE, I've continued studying Computer Science at university, including programming, algorithms, computer systems, cybersecurity, machine learning and software development. I also prepare lessons around the current AQA specification and exam requirements. Whether you want to catch up, improve your exam technique, raise your grade or simply feel more confident with Computer Science, I'm happy to help.

This course is for students just starting out in CS. We'll cover programming (Python), some algorithms, data representation, basic computer architecture, networks, and databases built step by step so the fundamentals actually stick before exams or university coursework get harder. Lessons are hands-on: meaning we'll solve problems together and focus on the areas students usually get stuck on, like tracing algorithms or writing your first working programs. We'll prepare thoroughly for final examinations so you can see the best results.

I specialize in tutoring programming, data structures, and computer organization for university students and enthusiastic beginners. Drawing from my daily work as a backend software engineer, my goal is to help you understand not just how to write code, but how the computer actually executes it. We will cover programming fundamentals in languages like C, C++, or Python, while exploring CPU architecture and memory management under the hood. We will also dive deeply into data structures such as linked lists, binary trees, and hash tables where my focus is ensuring you grasp the core theory and logic behind them, not just the code implementations. Having previously tutored mathematics, I know how to break down complex technical topics so you stay challenged but never overwhelmed. I assign hands-on coding exercises during and after every lesson to ensure you build practical, real-world engineering skills.

This class is designed for beginners and students who want to build a strong foundation in Computer Science and programming. You'll learn fundamental concepts of programming, computational thinking, problem solving, algorithms, and basic web development in a simple and practical way. We’ll focus on understanding concepts rather than memorizing them. Through examples, exercises, and hands-on practice, you’ll gradually develop the logic and confidence needed to write code and solve programming problems. Whether you're completely new to coding or looking to strengthen your existing fundamentals, this class will help you learn step by step and build a solid foundation for further study in Computer Science.

Learn Python programming with a senior software engineer and experienced educator. This class is designed for students who want to start programming from zero or improve their existing Python skills. You will learn programming fundamentals, problem-solving techniques, object-oriented programming, and how to build real-world projects step by step. With more than 27 years of software development experience and more than 21 years of teaching students of different ages, I focus on making programming simple, practical, and enjoyable. Topics can be customized based on the student's goals: * Python basics and programming fundamentals * Variables, conditions, loops, functions * Data structures (lists, dictionaries, sets, tuples) * Object-oriented programming (OOP) * File handling and working with data * Algorithms and problem-solving * Building practical Python projects * Preparing for school, university, or professional programming Suitable for beginners, teenagers, university students, and adults who want to learn programming.

Computer Science & Mathematics Tutoring I offer personalized tutoring in Computer Science and Mathematics for students from high school / Gymi level. Whether you're struggling with a specific concept, preparing for an exam, or want to get ahead in your coursework, I tailor each session to your goals and pace. Subjects covered: Mathematics: algebra, calculus, linear algebra, statistics & probability, discrete math Computer Science: programming fundamentals , data structures & algorithms. Exam preparation: Matura / Gymi entrance exam My approach: I focus on building real understanding, not just memorizing steps — working through problems together, explaining the "why" behind concepts, and giving you practice tailored to where you're stuck. Sessions are structured around your specific coursework or goals, whether that's homework help, exam prep, or learning a topic from scratch. Background: I'm a 2nd year student in Computer Science at ETH Zurich. Format: Online sessions via Zoom, with a shared whiteboard/screen-share for working through problems live. Flexible scheduling, and I'm happy to do a short intro call first to make sure it's a good fit.

Best programming practices including AI techniques and testing. Languages include python, javascript and typescript. C/C++ and Java. Advanced topics like design patterns and full stack development ( web + mobile). Alongside with git and github.