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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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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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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.

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Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty. 1: Demystifying AI (What exactly is it?) AI is not a movie robot: Difference between fiction and reality. How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image. Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa). 2: Using AI to make life easier Conversing with AI (ChatGPT, Claude, Gemini): Ask him to write an administrative email or a complex letter. Summarize a long newspaper article or document. Plan a travel itinerary or find recipe ideas with what's left in the fridge. AI for creativity and memory: Generate images to illustrate a birthday card (Midjourney, DALL-E). Using AI to restore or colorize old family photos. 3: Learning to "talk" to AI (The Art of the Prompt) The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe". The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener". 4: Precautions and Critical Thinking (The Survival Guide) "Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification). Privacy protection: Never give sensitive data (social security number, passwords, bank details) to an AI. Knowing that everything we write to the AI is potentially used to train it. Spotting "Deepfakes": How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice). Verify the information: the golden rule of cross-referencing sources. 5: Ethics and Impacts (To go further) Copyright: Who owns an image created by AI? The environmental impact: The water and energy consumption of AI servers. The future: Will AI replace us or assist us?

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As a Franco-Belgian management teacher, I give Excel lessons with passion! Whether remotely or face-to-face, I offer many examples and exercises to accompany you. I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely. Here are some key words that will be covered in my classes: Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

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📊Microsoft Office: To establish your office skills, manage data via Excel, write professional reports with Word, and prepare impressive presentations with PowerPoint. 📐 AutoCAD: To learn engineering drawing and design two-dimensional and three-dimensional plans with high accuracy and speed. 🛣️ Civil 3D: To learn road design, network design, surveying, and quantity surveying in a scientific and practical way

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This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

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With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world. Expertise & Teaching Areas: ✅ Programming & Software Development: Python, Java, C++ ✅ Cybersecurity: Ethical hacking, data protection, network security ✅ Digital Literacy: ICT applications, online safety, cloud computing ✅ Data Science & AI: Data analysis, machine learning fundamentals ✅ Web Development: HTML, CSS, JavaScript Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

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Experienced and patient teacher of logic for computer science. I have taught logic, formal languages and automata theory to undergraduates for six years. My tutoring is adapted to the student's level and goals. Whether you need to learn logic for your studies, or you would simply like to know more about the subject, I will be more than happy to help you improve your understanding and skills. Logic The sciences presuppose a certain standard of rationality. An ability to distinguish between correct reasoning and claims that do not follow from the assumptions. In this class we study the basic principles of logic and apply mathematical techniques to the study thereof. Topics include: Propositional and Predicate Logic Syntax and semantics Natural deduction Semantic tableaux Correctness and soundness Completeness Formal languages and automata A formal language is an abstraction of general characteristics of programming languages. Such a languages consists of a set of symbols together with some rules to determine whether a string made up out of those symbols is a member of the language. Topics include: Regular languages, context-free languages Finite automata, pushdown automata, Turing machines Regular expressions Regular grammar, context-sensitive grammar Pumping lemmas for regular and context-free languages

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Session 1: Revolutionizing your Scientific Writing with LaTeX & AI Duration: 2 Hours | Level: Beginner | Tools: Overleaf + AI** First Hour: Foundations and Cloud Environment (60 min) 1. Introduction to LaTeX Philosophy (15 min) - The "WYSIWYM" concept:** Explain the difference between Word (*What You See Is What You Get*) and LaTeX (*What You See Is What You Mean*). Why content takes precedence over form. - Key advantages:** Unrivaled typographic quality, automatic reference management, stability on long documents (theses), and free of charge. - The structure of a file:** Distinction between the **preamble** (the brain: settings and packages) and the **body of the document** (the heart: text). 2. Immersion in Overleaf (25 min) - Configuration:** Creation of an account and first project "Blank Project". - Exploring the interface:** The file panel (left), the code editor (middle) and the PDF preview (right). - Real-time collaboration:** How to share a project and leave comments (like on Google Docs). - History and versions:** How to revert to a previous version in case of a compilation error. 3. Practical Workshop: My First Document (20 min) * Writing basic commands: `\documentclass`, `\usepackage[french]{babel}`, `\title`, `\author`. * Compilation of the document and observation of the result. * Structuring: Use of `\section` and `\subsection`. Second Hour: Mathematics and the Magic of AI (60 min) 4. The Power of Mathematics (20 min) - Mathematical modes:** Difference between the text (`$...$`) and the centered block (`\[...\]`). - Essential syntax:** Fractions `\frac{}{}`, exponents `^`, indices `_`, and roots `\sqrt{}`. - Introduction to AMS packages: Why amsmath and amssymb are essential for professional rendering. 5. From hand to screen: AI at the service of LaTeX (30 min) - Presentation of OCR tools:** Use of **Mathpix Snip** (the leader) or models like Gemini/ChatGPT to transform a photo into code. - Concrete demonstration: 1. Take a picture of a complex handwritten formula (e.g., an integral with matrices). 2. Use AI to generate the corresponding LaTeX code. 3. Correction and insertion: Learn to check the AI-generated code before copying and pasting it into Overleaf. 6. Conclusion and Q&A (10 min) * Summary of achievements. * Resources for further exploration * Definition of the exercise for the next session.

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I teach coding to beginners and intermediate students. Lessons focus on logic, basic programming, and practical exercises. Classes are adapted to the student’s pace. Students can choose between website or mobile app development.Hands on dev

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Ever wondered what really happens when you open a website or hit "send"? Let's find out together. I've spent 3 years working hands-on with real networks: analyzing live traffic, managing firewalls, and troubleshooting network issues for government, financial, and telecom organizations. I'm Fortinet certified (FCA, FCF) and hold the CNSP (Certified Network Security Practitioner) certification. I'll teach you networking the way it's actually used on the job. No boring theory dumps, just live, hands-on learning you can use right away. You'll learn: How the internet works: IP addresses, DNS, DHCP, and HTTP/HTTPS The OSI and TCP/IP models, made simple Subnetting, routing, switches, and firewalls TCP vs. UDP, ports, and how connections work How to read real traffic with Wireshark and test networks with ping, traceroute, and Nmap How to spot suspicious traffic and keep a network healthy Perfect for: beginners, career changers, students, developers, and anyone preparing for Network+ or CCNA. You'll walk away with a clear picture of how data travels, the confidence to troubleshoot real network problems, and a rock-solid foundation for your IT career. No experience needed, just curiosity and a computer. Book your first session and let's dive in!

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As a final year high school student, I could be of great help to you with the various concepts that you have more or less covered in class. To do this, I will offer you suitable exercises which will allow you to progress. The areas I can help you with are: + French / Spanish + Mathematics (Middle school, high school (Additional, Specialty, STMG, STI...)) + Physics-chemistry (Middle School, High School (Specialty, and others) + Computer science, technology (level: expert) + SVT (level: Middle school, High school, advanced) You will have course material available which will enable you to understand the essential elements of the course, but also the various pieces of information to remember for an assessment or test, for example. If you have any doubts, questions, or misunderstandings about the lessons, or even about exercises, you can let me know, and I will try to answer your various questions. Computer science has always been something I really enjoy, so don't hesitate to ask if you have any questions about practical exercises on binary, hexa, octa coding, etc., but also about anything related to operating systems, applications, the system, etc. I know that each of us has the chance to succeed! So I believe in you! See you soon !

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I have an extensive experience teaching experience. I teach various subjects to the students such as Mathematics ,Computer Science ,Test Preparation like ACT, SAT, GRE etc. I really happy to teach people who will really want to part of my lesson. My teaching style is the step by step oriented. We will start from basic and move towards advanced topics. A very warm welcome my students on apprentus.com Wish you all the best.

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Whether you're just starting your computer science journey or preparing for university exams, I offer personalized tutoring tailored to your goals and learning style. I can also make the journey intuitive and interesting by teaching some design softwares as Canva and Adobe InDesign. I hold a Bachelor's degree in Computer Science Engineering and have experience applying technical problem-solving in international organizations alongside my work in technology, accessibility, and data analysis. I can help with: Microsoft Excel, Powerpoint and Word Canva, and Creative Designing using Adobe Programming fundamentals Python SQL and databases Data structures and algorithms Object-oriented programming Software engineering concepts Computer networks Information security fundamentals Operating systems Exam preparation Assignments and projects Problem-solving and coding practice My teaching approach focuses on building a strong understanding of concepts rather than memorization. I adapt every lesson to the student's pace, using practical examples and interactive exercises to make complex topics easier to understand. We learn together by solving creative problems, and I am available to support students at any moment of their journey. Whether you're in school, university, or simply interested in learning programming, I'll help you develop confidence and the analytical thinking skills needed to succeed.

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This course is for anyone who wants to learn to program in Python, whether you are a student, a professional, or simply curious. Python is one of the most widely used languages today, thanks to its simplicity and power. You'll learn how to write your first programs, manipulate data, automate tasks, and understand the essential foundations of modern programming. The objective is to make you independent in developing your own projects (scripts, small software, data analysis, etc.) and acquire a skill sought after in the academic and professional world.

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With 7 years of experience as a developer in a Factory, I now develop Wordpress websites for large groups. In the training program, you will learn to: - Install, configure, and deploy WordPress sites - Develop custom Wordpress themes and plugins - Use powerful tools like ACF Pro, Gravity Forms, WPML, AIOS Security, WP rocket... - Create custom post types and tailor-made taxonomies - Develop pages using the right methods in HTML, CSS, Javascript & PHP - Administer and manage a site database - Contribute to the good natural referencing (SEO) of your site - Use WP-Cli to speed up the maintenance of your sites - Use Docker to containerize your local/prod projects and facilitate their management - Administer your WP sites the right way - And much more... For any questions, you can contact me by PM. See you soon, Matthew

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11Students

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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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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I created this course especially for students having difficulty progressing in their computer programming courses/projects. I support students of all university levels. My help covers many others: - Analysis and planning of projects - Technological choice in languages and tools/framework - Algorithmic and programming support - Assistance with debugging and code correction - Data modeling (MCD/MLD diagram, UML diagrams) Why choose my courses? My method is different and more adapted than that of traditional teachers because it is: * Personalized: Adapted to your level and your specific needs. * Interactive: Promotes interaction and visualization of concepts. * Practical: Oriented towards practice with concrete exercises and projects. * Proven: I have already managed to help more than 200 students in the space of 2 years.