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Mathematics is the best way to enhance your intellect but also work on your intuition and your ability to see patterns. Good day, my name is Alex, I have been teaching math for over 10 years to hundreds of students. I will teach all grades from elementary school all the way to high school and IB/GCSE etc. My philosophy revolves around these three values: -Encouragement -Inspiration -Discipline I specialize into teaching mathematics and programming, but in some occasions I teach physics too. Feel free to contact me.

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Unlock Your Potential in Programming, Math & Data! Hello! Are you looking to strengthen your skills in Programming, Mathematics, or Data science? As a Master's student in Data Science at Technische Universität Wien and an Experienced Educator, I offer personalized tutoring to help you achieve your academic and learning goals. What I Offer: Programming Fundamentals: Dive into Python, C/C++, Object-Oriented Programming (OOP) and Data Structures. Perfect for beginners or those looking to solidify their understanding. Mathematics: From School Level Concepts to Foundational University Topics, I can help you grasp Complex Ideas and Improve your Problem-Solving Skills. Introduction to Data Science: Get started with Essential libraries like NumPy, Pandas, and scikit-learn, and understand core data analysis concepts (Data Preparation, Analysis, Visualization, Model Training and Predictions). Microsoft Office & Computer Basics: Master Excel, PowerPoint, Word, and General Computer Literacy for Academic or Professional Success. My Teaching Approach: With over five years of experience as a Secondary School Educator and a Co-Founder & Instructor, I believe in a clear, patient, and practical approach. My goal is to make complex topics understandable and engaging, building your confidence step-by-step. I focus on hands-on learning and real-world applications to ensure you not only learn but also enjoy the process. Who Can Benefit: School students University students seeking foundational support Anyone new to programming or data concepts Individuals looking to improve their general computer skills Let's work together to make learning effective and enjoyable! About Me: I am Muhammad, a dedicated Data Science Master's student with a passion for teaching and problem-solving. My background in Software Engineering and my experience in various educational roles have equipped me to guide you effectively on your learning journey.

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For whom: - You have a University Class in Programming - You are at School/Uni and want to get better at coding - You have an assignment or need to write a program for your project but don't know where to start What you will learn: - How to think algorithmically - How to better use AI/ChatGPT for your coding - Leetcode

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I will help you with the following topics: * Introduction to programming (C++, Python). * Mentoring at the early stages of your programming career * Expand your programming skills. * Debugging strategies. * Possibly tutoring and exam preparation. I will NOT help with the following issues: * Short-term preparation for an exam, a homework assignment or similar. My job is to help those who are interested to acquire solid programming skills. It is NOT my job to help those who are interested to do well in school.

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What we will do depends on your goals and your knowledge level. The following topics which we can work with: - Programming Foundations (for beginners, C, Java, or any language as foundations are usually language agnostic) - Object Oriented Programming with Java (OOP concepts) - (For Java) Spring/Spring Boot Framework (here we could go into any direction, also general libraries and packages used in a backend application for web development) - Best practices and debugging - Writing Unit/Integration tests, increasing test coverage. - Or you can just hit me up with a custom request and we can take a look, as there are many many individual topics one can dive into.

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I cover the High School scientific subjects, Engineering University exams and some type of tech interviews. My main area of focus is math, physics, programming (C,C++,Python,javascript) and engineering. I can offer also beginner level skills and understanding of popular machine learning paradigms like transformers and diffusion models. I have a passion to explain make other people understand a different kinds of concepts, I can explain in simple term complicated knowledge, and a little step at the time I can guide the student to grasp difficult problems and effectively solve them.

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Hi, I hope you will be fine. Welcome to my profile. This is Faisal. I am a Lecturer in Data Science at University. Data Science is the advanced field of Computer Science. I have more than 4 years of teaching experience including International level Students from Multiple countries of different levels of education, like, up to the University level. I love education because education is a powerful weapon to change the world. I am hardworking, and I am interested to use my Technical background and Expertise for my students. I teach the students with step-by-step instructions to make their concepts clear. That’s why I always focus on the Quality of Education to make my students and their parents happy. I take quizzes /tests daily and weekly basis. I provide the helping materials. I'm a friendly, happy, and polite person. I really like teaching because I think it’s my passion. I really enjoyed teaching children because they always enjoy my lessons. Lооking fоrwаrd tо Help mоre аnd mоre students tо get better & Quаlity Educаtiоn. Feel free to contact me, Takecare :)

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My name is Roman. I am a PLC programmer I teach for children and adults aged 17 to 50 in Siemens area. More than 2 years of teaching experience. More than four years of experience as a developer. I offer a course after which you can surely find a job as a PLC programmer. Main topics: - Structured programming, FC and FB blocks; - Data storage, DB blocks; - System interrupt, OBs; - S7 CPU software resources; - Data types and addressing modes; - Advanced tools for diagnostics and testing programs; - Standard libraries and system functions; - Project creation, main editors; - Hardware connections, simulation of variables; - Building screens. Dynamization of objects; - News presentation, news archiving; - Viewing and archiving messages; - Archiving of measured values, presentation of graphics and tables; - User archive; - Reporting system; - Background processing; - User management; The acquired knowledge and skills enable: - understand the composition of the project components and their functions in WinCC; - develop visualization screens with the functions of monitoring and controlling devices, registering alarms, generating archives and reports, and administration; - solve complex automation problems (e.g. production management, conveyor lines); I also help with setting up the software environment, regular repetition, homework, examples on expanded objects. At the end, I will find a programming company for you where you can work and prepare for the interview.

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Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it? This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio). What we cover, adapted to your level and goals: - Descriptive and inferential statistics (the ones that actually matter) - Data cleaning, exploration, and visualization - Regression, classification, and intro to machine learning - Time series and forecasting basics - R for statistical analysis and academic research Who this is for: - University students in statistics, economics, engineering, or biology - Professionals wanting to move into data analysis or data science - Researchers who need to process and present data properly I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

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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.

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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.

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I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English. I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work. Who this is for Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos. I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it. What we cover Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation. How lessons work Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic. In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions. Practical details Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe. Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.

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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