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This course is intended for students (or professionals) in social sciences, humanities, economics, or related fields who want to master statistical data analysis using Excel and JMP. Through hands-on exercises based on real survey data (e.g. the European Social Survey), you will learn to: • Clean and structure datasets • Perform univariate and cross-tab analyses • Build pivot tables • Visualize variables with graphs (histograms, boxplots, mosaics) • Conduct independence tests (Chi2) and correlation analysis • Generate professional reports exportable as PDF or HTML The course is practical, progressive, and can be adapted to your own data and level. Perfect for exam prep, thesis work, or field research.

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Machine learning -supervised unsupervised .. different projects and applications Professor in mathematics, computer science at HEFF in Brussels and before a professor of electronics at IEPSCF, NGÉNIEUR in electronics ECAMIEN basic graduate in mathematics-physics and I offer an individualized pedagogy, help in the preparation of questions or exams. My goal is to make the student progress without overloading him. I give homework after each lesson and periodically provide progress reports I strongly encourage the student because the state of mind and morale have a direct influence on school results. I am someone understandable and I always try to take each in his own way. I always start by clarifying the course after giving an example then giving an example to the student to do a complete exercise and finally correct an exam together generally that's the methodology but it can change from one case to another.

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I offer support courses to secondary and higher students in mathematics, IT: The courses concern: 1- General programming concepts (Java, Android, C) 2- Combinatorial logic, numerical calculation 3- Mathematics (Analysis, Algebra, Statistics, Matrix calculus, Integral calculus, Study of functions, etc ...)

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1. Mathematics: Math courses cover a variety of topics, from basic arithmetic to algebra, geometry, calculus and beyond. They help develop logic and reasoning. 2. Physics: Physics courses explore the fundamental laws of the universe, including the principles of motion, energy and matter. They help us understand how the world works at a fundamental level. 3. Computer Science: Computer science courses teach digital skills, ranging from Internet browsing and office automation to programming and software development. They prepare students for an increasingly digital society.

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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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With a Bachelor's degree in Computer Science and several years of experience in digital support, I teach computer science, mathematics and physics. Regarding IT, I offer to help you solve problems (software installation, formatting, etc.) and teach you how to do it yourself. Price per task, depending on the nature of the problem to be solved.

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During this school holiday period, it's time to rest and relax, but be careful not to let yourself go too much because for some this period also rhymes with remedial exams and/or summer homework. Do not panic! With my 3 years as a private teacher I realized one thing, with motivation and a little goodwill, no goal is impossible to achieve (and especially not in math ;)). That's why I try to make my lessons as interactive as possible, lessons where the student just takes notes have very little meaning for me. Thus, I can precisely target the difficulties of the student. Each student is different, which is why my classes are specific to each student, to their needs and desires. Of course, I love working in a good atmosphere and in a good mood so with me no stress ;) Thanks to my civil engineering diploma, I have the skills required for courses/support in mathematics at the primary, secondary, higher and university levels, but also for preparation for the civil engineer entrance exam. Do not hesitate to call me to discuss it and find a solution!

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Graduated in civil engineering in signal processing, I have been working for 4 years as a software engineer, in the fields of statistics, artificial intelligence and digital signal processing. This professional experience, combined with my knowledge acquired during my studies, gives me expertise in the fields of programming in Python and C, as well as in machine learning, computer vision and deep learning. It is with pleasure that I will use these skills to help you in your courses and/or graduate or personal projects.

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23Students

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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15Students

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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12Students

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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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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6Students

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.