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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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A Cambridge and UniVie Grad and a soon-to-start PhD student in Computer Science and Mathematics at ISTA to teach Maths, Stats, CS and/or Computational Biology/Programming modules. Ich spreche auch Deutsch und kenne mich mit dem Schulmaterial (z.B. Matura) und Modulen aus Uniprogramm (BSc Mathe auf Uniwien) aus. If your goal is not just to learn some formulas by heart, but to gain a deep insight into how mathematical topics are interconnected, or to get a hand at coding and how to think algorithmically to solve complex tasks – I am just the right fit for you or your child. Additionally, I am personally familiar with the British educational system – from A-Levels (3 x A*) to University (MSc/MPhil from Cambridge with distinctions).

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Tutoring of computer science and related mathematics. I have a master's and bachelor's degree from TU Wien in CS, and am currently pursuing a PhD in computer science too. Happy to tutor at TU Wien Campus but I am only available after working hours. Time-wise, I am quite flexible.

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Teaching: Data structures and algorithms, C++, Python, assembler, SQL, computer science and university level math Ex-Intel, ex-ESET C++ developer, a mathematician by profession. 7 years of tutoring and teaching experience. I am also conducting preparations for the International Olympiad in Informatics and International Mathematical Olympiad. If a student of mine is stuck on a problem during his home preparation, he can consult and ask for a hint through WhatsApp/Signal anytime. I encourage my students to ask for help when they get stuck so that they can learn as quickly and as effortlessly as possible. I also prepare individual learning plans and learning materials for all of my students, hence no matter your level of math or computer science skill, you can always move forward on our lessons. Lecturing · Workshops · Tutoring · Consulting.

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This class is suitable for students that want to start their careers in the Computer Science domain. My goal is to help students in different Computer Science fields like Programming (C/C++, Python, Java, Databases), Artificial Intelligence (Machine Learning, Computer Vision), doing homework or personal projects. My goal is to prepare practical sessions for you with many exercises and theoretical parts in order to understand the important things by implementing different tasks. I have experience in teaching (6 years in a private IT Academy and at my University as a Teaching Assistant). I am working, also, with children (8-13 years old) in Scratch Programming Language. If your children want to start doing easy visual games suitable for their age, this is the best Programming tool.

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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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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.

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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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6Students

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver. In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition. I teach: • 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use. • 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners. • ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual. As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization. Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

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1Students

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.