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Private lessonsComputer ScienceOnline Computer Science lessons

1343 online computer science teachers

1343 online computer science teachers

Warda - Paris, France£154
£154Introductory Training in Generative AI and Data - Customizable
Take things to the next level with Artificial Intelligence! Do you want to understand the challenges of AI, master new generative tools (ChatGPT and others) and learn how to manipulate real data? Take advantage of a clear and accessible 4-hour training course, delivered by an industry expert. WHY THIS TRAINING? Unlike online tutorials, I offer a pedagogical approach based on concrete, field experience. As a speaker at international conferences (notably at UNESCO) and a developer of technological solutions with social impact, I will give you the tools to become self-reliant. PROGRAMME (4 HOURS): - Demystifying Data: Understanding what data is, Open Data and how it influences our daily lives. - Generative AI: How language models work, overview of tools and data security. - Practical "Prompt Engineering" Workshop: Learn how to write effective instructions to achieve immediate professional results. - Ethics & Sovereignty: Understanding the challenges of the GDPR and protecting your privacy. WHO IS THIS TRAINING FOR? - Independent professionals, freelancers or students wishing to boost their productivity. - Individuals curious to understand the current digital revolution. - No technical prerequisites are required. TERMS AND CONDITIONS: - Duration: to be agreed - Location: Via videoconference or in person in Paris (or internationally) - Guaranteed seriousness: A professional training contract will be drawn up for each participant.
Computer science · Information technology · Computer modeling
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Mohamed Nour - Saudi Arabia£28
£28Mathematics, Computer Science, Statistics, Calculus, English
With over 25 years of academic teaching experience in both Mathematics, Computer Science, and Statistics. I am confident in my ability to contribute meaningfully to teaching. I have taught a diverse range of courses within the Department of Mathematics – College of Science, including both Mathematics and Computer Science Courses, both in English as well as Arabic. Additionally, I have taught Mathematics in the Department of Basic Sciences – Preparatory Year Deanship, preparing students for academic success across scientific disciplines. Earlier in my career, I also taught at the University of Khartoum in Sudan, where I contributed to building foundational skills in both Mathematics and Computing among undergraduate students. I am fluent in English, highly skilled with LMS platforms such as Blackboard, Google Meet, Zoom, MS Teams and committed to student-centered teaching. My approach integrates digital tools, real world examples, and collaborative learning to help students bridge the gap between secondary and higher education. My philosophy of teaching evolved via my long teaching experience. As I reflect on my beliefs regarding teaching and learning, I find that my mission as a teacher is threefold: - To promote positive learning. - To spark the learner’s enthusiasm for learning. - and to provide a strong foundation for lifelong learning. I am an expert in teaching Calculus, Trigonometry, Algebra, Differential Equations, at all levels from school to university. In Computer Science I have been teaching Java Language for more than 24 years and also I teach Python and OUBuild which is a unique graphical Computer Language, MS Excel, MS Word, MS PowerPoint.
Algebra · Calculus · Computer science
Abdulrahman - Egypt£26
£26Top Grades Guaranteed: AP Computer Science (Java), C++/Python Development, Calculus, & Math Tutoring
Trusted teacher: Premium Tutoring in Computer Science: Go Beyond Coding to Deep Understanding. My method is rooted in the Feynman Technique: I don't just teach the material; I internalize concepts until I can explain them to anyone, intuitively connecting new knowledge to your existing foundations. This approach transforms complex topics like Object-Oriented Programming (OOP) and Data Structures into clear, actionable logic. I am committed to creating a comfortable, encouraging environment focused on active learning and real-world application. My goal is to equip you not just with code, but with the logical thinking and debugging prowess of a professional Software Engineer. Proven Credentials and Real-World Results: University-Grade Expertise: I served as a Teaching Assistant at Zewail University, specializing in Object-Oriented Programming (OOP) using C++. My role was to develop effective teaching methods, guide step-by-step project implementation, and coach students in advanced debugging and logical programming thinking. Advanced Curricula Mastery: I have successfully prepared students for high-stakes exams and competitions, including AP Computer Science (using Java) and USACO (Competitive Programming), helping them achieve excellent grades and proficiency in complex analysis and coding. Rapid Mastery Success: Recently, I helped a Master’s student with zero OOP knowledge successfully learn C++ foundations in less than four lessons to complete a complex Computer Vision project on time, guiding him through debugging and applying software design principles. My Student-Centered 4-Phase Learning System: Phase 1: Diagnostic Assessment: Our early sessions focus on identifying your current knowledge base and, crucially, your most effective individual learning style. Phase 2: Intuitive Linkage: We use the Feynman-style approach to link new programming concepts (OOP, Data Structures, Algorithms) to familiar knowledge, making the learning process intuitive and enjoyable. Phase 3: Practice & Debugging: I emphasize practice, error discovery, and best coding practices. I provide AP-style practice materials and competitive programming challenges to build proficiency in analysis and solution writing. Phase 4: Real-World Application & Review: We constantly search for the use cases of what you are learning to make the concepts meaningful. We conclude with exam revision and strategic preparation to ensure you are ready to achieve great grades.
Computer science · Math · C - c++
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(2 reviews)
Amr - New Cairo, Egypt£12
£12Python programming (Basic to Advanced) , Practical Course
Trusted teacher: In today's rapidly evolving technological landscape, **Python programming** has emerged as one of the most **critical skill sets** for professionals across industries. With applications spanning web development, data science, artificial intelligence, automation, and more, Python continues to dominate as the **language of choice** for developers and organizations worldwide. This proposal outlines a comprehensive Python course designed and delivered by **Amr**, a developer and instructor with over **20 years of experience** in the field. The course combines fundamental programming concepts with practical, real-world applications, ensuring students gain not just theoretical knowledge but **marketable skills** that align with current industry demands. By leveraging cutting-edge teaching methodologies and extensive professional experience, this course offers an unparalleled learning opportunity for aspiring programmers and experienced developers alike. ## 1 Introduction to Python Programming Python has established itself as a **powerhouse programming language** across various domains, from web development and data analysis to artificial intelligence and automation. As of 2025, the demand for Python skills continues to soar, with industry giants like Cisco, IBM, and Google leveraging its capabilities for their projects . Python's dominance in the technology sector is undeniable – it remains the **most requested programming language** in job postings across multiple industries, including finance, healthcare, technology, and entertainment. The language's popularity stems from several key factors: its **user-friendly syntax** that resembles natural English, making it exceptionally accessible for beginners; its **versatile nature** that supports multiple programming paradigms; and its **extensive ecosystem** of libraries and frameworks that simplify complex programming tasks. Python's cross-platform compatibility ensures code runs seamlessly on Windows, macOS, and Linux environments, while its open-source nature has fostered a massive community of contributors who continuously expand its capabilities . These attributes make Python not just a programming language but a **comprehensive toolset** for solving diverse computational problems. For professionals looking to future-proof their careers, Python offers **exceptional value**. According to industry data, Python developers in the United States earn an average of **$116,028 per year**, reflecting the high market demand for these skills . Beyond financial rewards, Python proficiency opens doors to cutting-edge fields like machine learning, natural language processing, and data analytics – domains that are shaping the future of technology across industries. ## 2 Course Overview & Learning Objectives ### 2.1 Course Philosophy This Python programming course is designed with a **practice-oriented approach** that emphasizes hands-on learning and real-world application. Unlike traditional programming courses that focus heavily on theory, this program balances conceptual understanding with **practical implementation**, ensuring students develop the skills needed to solve actual business problems. The curriculum is structured to build proficiency gradually, starting with fundamental concepts and progressing to advanced applications, with each module incorporating **project-based learning** components. ### 2.2 Key Learning Objectives Upon successful completion of this course, students will be able to: - **Demonstrate proficiency** in core Python programming concepts including data structures, control flow, functions, and file handling - **Develop functional applications** using Python for various domains including web development, data analysis, and automation - **Implement object-oriented programming** principles to create modular, maintainable code - **Utilize popular Python libraries** such as Pandas, NumPy, and BeautifulSoup for specialized tasks - **Integrate with databases** and web APIs to create full-stack applications - **Apply debugging and testing** techniques to ensure code quality and reliability - **Build portfolio-worthy projects** that demonstrate marketable skills to potential employers ## 3 Instructor Qualifications & Experience ### 3.1 Professional Background **Amr** brings an exceptional **twenty-year track record** of development and instruction experience to this Python course. His extensive background encompasses both corporate training and software development, providing a unique blend of pedagogical expertise and practical knowledge. With credentials including a **Bachelor of Computer Science and Management Technology** from Modern Academy and a **Computer Science Diploma** from Arab Academy for Science and Technology, Amr possesses the academic foundation to complement his extensive professional experience. His career demonstrates **progressive responsibility** and expertise across multiple programming languages and frameworks. Beginning as a technical instructor at renowned institutions including NewHorizons, Knowlogy, and Informatica, he quickly established himself as a developer at Microtech and ITS, where he worked on enterprise-level systems including **ERP and banking applications**. This combination of education and hands-on development experience creates an ideal foundation for teaching programming concepts with both theoretical rigor and practical relevance. ### 3.2 Industry Client Portfolio Amr's exceptional teaching credentials are further enhanced by his impressive roster of **corporate clients**, which includes some of the world's most recognized brands: - **Technology Leaders**: Microsoft, IBM, Siemens, Vodafone, and Telecom Egypt - **Financial Institutions**: National Bank of Egypt, NSGB, CIB, and Central Bank of Egypt - **Global Consumer Brands**: Pepsi, Coca-Cola, Nestlé, Cadbury, and Americana - **Industrial Conglomerates**: Chrysler, Valeo, 3M, ABB, and BP (British Petroleum) - **Government Entities**: Libya Government IT Department, Sudan Army Officers, Egyptian Airports Company This diverse client experience has provided Amr with **unparalleled insight** into how Python is applied across different industries and organizational contexts. His exposure to various business domains allows him to teach Python not as an abstract academic exercise but as a **practical tool** for solving real business problems. ### 3.3 Teaching Methodology Amr employs a **learner-centered approach** that emphasizes interactive engagement and practical application. His teaching philosophy is based on the principle that programming is best learned through doing, rather than passive listening. Each concept is introduced through **clear explanations** followed immediately by hands-on exercises that reinforce learning. He adapts his pace and approach based on student comprehension, ensuring no one is left behind while maintaining challenging content for advanced learners. *Table: Instructor's Recent Training Engagements (2023-2025)* | **Year** | **Corporate Clients** | **Training Centers** | **Technologies Covered** | |----------|-----------------------|----------------------|--------------------------| | **2023** | International Finance Corporation, Raya Integration | Raya Academy, IT-Egypt | VBA, Office Automation, Web Technologies, Software Fundamentals with C#, SQL Server Database Design and Querying, Introduction to .NET Core Framework, Building ASP.NET Core Web API, Front-End Development Basics (HTML, CSS, JavaScript, TypeScript), Advanced Front-End Development with Angular, Integration and Deployment | | **2024** | 3M, Pepsi | NewHorizons, Radio & Television Institute, Informatics (Lebanon), Total-Tech (KSA), Global Business Star (USA) | SQL Query (20761), SQL Development (20762), SQL Admin (20764,20765), Tabular, MQL5, ASP.NET Core MVC Web Applications (20486), Programming in C# (20483), Programming in HTML5 with JavaScript and CSS3 (20480), LINQ, EF (Entity Framework) | | **2025** | Siemens, Vodafone | YAT, Future University | Full Stack Development, Data Analysis | ## 4 Detailed Course Curriculum ### 4.1 Module Breakdown The Python course is structured into **eight comprehensive modules** that systematically build programming proficiency from foundation to advanced application: 1. **Python Fundamentals** (10 hours): Syntax, variables, data types, operators, and basic input/output operations. Students will write their first programs and understand how Python interprets and executes code. 2. **Control Structures & Functions** (15 hours): Conditional statements (if/elif/else), loops (for/while), function definition, parameters, return values, and scope. Emphasis on writing clean, reusable code. 3. **Data Structures** (20 hours): Lists, tuples, dictionaries, sets, and their appropriate applications. Includes comprehensive exercises on data manipulation and storage. 4. **Object-Oriented Programming** (20 hours): Classes, objects, inheritance, polymorphism, and encapsulation. Students will learn to structure code using OOP principles for better maintainability. 5. **File Handling & Modules** (10 hours): Reading/writing files, exception handling, importing modules, and creating custom modules. Practical applications for data persistence. 6. **Web Development with Python** (25 hours): Introduction to Flask/Django frameworks, REST APIs, and basic front-end integration. Students will build a functional web application. 7. **Data Analysis & Visualization** (25 hours): Using Pandas for data manipulation, NumPy for numerical computing, and Matplotlib/Seaborn for visualization. Real-world datasets will be used for analysis. 8. **Introduction to Automation & Scripting** (15 hours): Applying Python to automate repetitive tasks, web scraping with BeautifulSoup, and working with APIs. ### 4.2 Practical Projects The curriculum includes **five portfolio projects** that allow students to apply their learning: 1. **Data Analysis Project**: Analyzing real business data to extract insights and create visualizations 2. **Web Application Project**: Building a fully functional web application with database integration 3. **Automation Script**: Creating a practical tool to automate a repetitive computer task 4. **API Integration Project**: Connecting to external services and processing returned data 5. **Final Capstone Project**: A comprehensive application that demonstrates mastery of course concepts ### 4.3 Python in Marketing Analytics A special section of the course will focus on **Python applications in digital marketing**, covering how Python can be used for marketing automation, data analysis, and operations . Students will learn: - **Working with APIs** to connect different software tools and automate marketing workflows - **Web scraping** to gather data from web pages for content analysis and competitive intelligence - **Text analysis** for sentiment analysis, content optimization, and customer feedback processing - **Data analysis** for marketing analytics using Pandas and visualization libraries - **Technical SEO** applications using Python libraries like advertools and EcommerceTools This specialized content demonstrates Python's versatility beyond traditional programming roles, showing its value in business functions like marketing where data skills are increasingly crucial. ## 5 Training Methodology & Delivery ### 5.1 Interactive Learning Approach This Python course employs a **multimodal teaching methodology** that accommodates diverse learning styles while ensuring practical skill development. Each session follows a structured pattern: 1. **Concept Introduction**: Clear explanation of programming concepts with real-world analogies 2. **Live Coding Demonstration**: Step-by-step coding examples that students can follow along 3. **Guided Practice**: Structured exercises with instructor support and immediate feedback 4. **Independent Challenge**: Problem-solving activities that require applying concepts creatively 5. **Code Review**: Collaborative analysis of solutions to identify best practices and improvements This approach ensures that students not only understand theoretical concepts but develop the **problem-solving mindset** essential for effective programming. The emphasis is always on writing clean, efficient, and maintainable code following industry standards. ### 5.2 Hands-On Labs & Exercises A distinctive feature of this course is the extensive **hands-on programming practice** integrated throughout the curriculum. Students will spend approximately **60% of course time** actively writing code rather than passively listening to lectures. Practical components include: - **Coding exercises** for each new concept introduced - **Mini-projects** that combine multiple concepts into functional applications - **Debugging challenges** that develop problem-solving skills - **Code optimization** activities focusing on efficiency and performance - **Pair programming** sessions to foster collaboration and knowledge sharing ِSend me if you have any questions, Regars, Amr
Python · Computer programming · Computer science
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IGCSE ICT & CS, Programming/Information subjects for college students (New Cairo)
Amr
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Very helpful and effective tutor.!
Review by LEONIDAS ΛΕΩΝ

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