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Private lessonsComputer ScienceOnline Computer Science lessons

1365 online computer science teachers

1365 online computer science teachers

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(2 reviews)
Amr - New Cairo, Egypt13€
13€Python 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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(25 reviews)
Adam - Paris, France26€
26€Basic concepts of algorithms and data structures in computer science
Trusted teacher: Online Course: Basic Concepts of Algorithms and Data Structures Duration : - 60 minutes: condensed format to introduce fundamental concepts with targeted exercises. - 90 minutes: extended format to explore concepts in depth, solve complex problems, and include an interactive question-and-answer session. --- General description This course is designed for students and professionals who are new to computer science, as well as those who want to solidify their foundation in algorithms and data structures. It provides a clear and practical introduction to the essential tools for solving problems effectively, by learning how to design and analyze algorithms. Whether you are preparing for an exam, a technical interview, or want to improve your programming skills, this course will guide you in understanding theoretical concepts and their practical application. --- Educational objectives At the end of the course, participants will be able to: 1. Understand the fundamental concepts of algorithms: sorting, searching, time complexity. 2. Master key data structures: arrays, lists, stacks, queues, trees, and graphs. 3. Solve problems by choosing appropriate data structures and algorithms. 4. Analyze and optimize the performance of algorithms. --- Course syllabus 1. Introduction (5-10 min) - Presentation of the objectives and concepts covered. - Importance of algorithms and data structures in computer science. 2. Fundamental concepts (20-30 min) - Definitions and roles of algorithms and data structures. - Temporal and spatial complexity: basic notions (Big O). - Basic data structures: arrays, lists, and dictionaries. 3. Practical application and examples (30-40 min) - Simple sorting implementation (insertion sort, bubble sort). - Search example (linear search, binary search). - Manipulation of stacks and queues through practical exercises. - Bonus for the 90 min format: Exploration of trees and graphs (simple example of a route). 4. Q&A and conclusion (5-10 min) - Review of the concepts covered. - Tips for continuing to practice and progress. - Suggestions for personal projects to apply the knowledge acquired. --- Teaching methodology - Interactive learning: a combination of theoretical explanations and practical applications. - Concrete examples: each concept is illustrated by practical cases and guided exercises. - Adaptation to needs: the courses are adjusted to the level and objectives of each participant, with a focus on the most relevant aspects. --- Target audience This course is aimed at: - Computer science students wishing to strengthen their mastery of the basics before exams or projects. - Programming beginners who want to understand the essential mechanisms behind problem solving. - Professionals preparing for technical interviews or seeking to improve their understanding of algorithms. --- Benefits of this online course - Personalized support from an experienced trainer. - Educational materials and practical exercises accessible after the session. - Flexible hours to fit your schedule. - Progressive approach to facilitate learning, even for beginners. Develop your skills in algorithms and data structures today to efficiently solve the complex problems of tomorrow! ---
Tutoring · Computer science · Algorithms
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(1 review)
Ioannis - Géri, Cyprus26€
26€Private Computer Science Courses & Pancyprian Exam Preparation - Doctoral Student in Computer Science
Trusted teacher: PhD Candidate in Informatics – Private Lessons & Pancyprian Exams I am a PhD Candidate in Informatics and I offer private lessons in Informatics to High School students (Pancyprian Exams) as well as to University students, with an emphasis on correct understanding and methodical thinking. Pancyprian Exams – Informatics Systematic preparation with an emphasis on: • understanding of the material • correct algorithmic thinking • methodology for solving problems • analysis of old Pancyprian exam questions We cover, for example: pseudocode, tables, repetitions, control structures and common exam errors. Students & General Computing Support in: • Programming (C / C++ / Python) • Operating Systems • Computer Architecture • Code Understanding & Debugging In-person or online courses, with emphasis on understanding and proper study organization. English text below PhD Candidate in Computer Science – Private Tutoring & Pancyprian Exams I am a PhD candidate in Computer Science offering private tutoring for high school students (Pancyprian Exams – Computer Science) and university students. Pancyprian Exams – Computer Science Structured exam preparation focusing on: • understanding the syllabus • correct algorithmic thinking • exam-oriented problem-solving • analysis of past Pancyprian exams Topics include pseudocode, arrays, loops, control structures, and common exam mistakes. University & General Computer Science Support in: Programming (C/C++/Python) • Operating Systems • Computer Architecture • Code understanding and debugging Lessons are available in person or online, with emphasis on understanding concepts rather than memorization.
Computer programming · C - c++ · Computer science
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(1 review)
Hammad - Karachi, Pakistan12€
12€Professional Python Tutor with immense Interest in Data Science and Deep Learning
Trusted teacher: Hey, This is Hammad, I'm a Python Developer and I am working on Python for almost 2 years😇. I will teach you a Full Beginner's Computer Science: Python Course covering from the basics to advanced level programming. My bachelor's in Computer Science is in progress and use python on a regular basis in Data Science, Deep Learning Programming. Teaching Methodology I also give online tuition, my teaching methodology mainly involves explaining concepts with examples by using Jupyter Notebooks. Then I practice one or two questions with the student. Then I give questions to students through sharing Notebooks on screen and ask them to solve on their own. I help them out if they are stuck and then we discuss the answers. This helps in having an interactive class and you will surely not be bored with me and will start liking Python even more😊. General Course Outline: //Python 1 // Print Variables. Logical Operators. Comparison Operators. Comparison Operators If/Else Statements Comments. User Input. List and List’s Functions. List Slicing. Tuples. //Python 2 // For Loops. Nested For Loop. Break, Continue, Pass. Type Casting. Sets. Dictionary. //Python 3// Functions While Loops. Exceptions. File I/O. CSV file. JSON File. Learning Python has never been so easy, enjoyable, and affordable! Don’t lose one more second when you can start learning Python right now! More and More people are doing it. Are you ready to embrace this wonderful experience? Get Access Now! Best Regards, Hammad
Computer programming · Computer science · Python
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(12 reviews)
Anas - Brussels, Belgium33€
33€Master Microsoft Access software (Beginner / Advanced)
Trusted teacher: I will help you master all the features of Microsoft Access software. objectives: --------------- Acquire the essential bases of Microsoft Access software. Structure a relational database. Define queries. Build forms and reports. Create simple macros. Acquire a methodology to design and manage a database. Whatever your basic level, I will adapt to it in order to help you progress. Program ------------------- Module 1: Presentation of Access software Familiarize yourself with Access Find your way around the screen: toolbar, status bar, menus, ruler Methodology for building a database Creation of a database and DBMS Importing data from Excel into Access *** Module 2: Design and organize your database Organize and distribute your data between different tables Create tables, define fields Identify the index primary key Define relationships, ensure referential integrity Import, export and link data. *** Module 3: Relationships Link tables The different types of relationships (one to one, one to many) Referential integrity Join types Create a drop-down list Complex relational schemas: relay tables, star schemas, etc. *** Module 4: Query your database with queries Selection queries: choice of fields, sort order, definition of selection criteria Extract data by setting criteria Grouping on a field, on an expression Multitable and cross-analysis queries Action requests: update, add, delete, create a table. *** Module 5: Calculated queries Column calculations Online calculations: formula syntax, use the expression generator Some calculation functions: (True false, Extraction of strings, Upper case, Lower case) *** Module 6: Creating Forms and Entering Data Create an instant form Create an instant table form Manage data: add, delete, modify, search, filter records Modify the form Subforms: creation, integration into a form Editable drop-down lists. *** Module 7: Creating Reports Create a label report Create a report using the wizard Change state Creation of column or tabular reports Sorting and grouping Direct mail report. Printing a report. *** Module 8: Creating Complex Forms Hierarchical organization of forms Create a form and a subform Insert action buttons: search list, command buttons Insert calculations
Computer science · Microsoft access
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(2 reviews)
Abdelali - Tangier, Morocco33€
33€Matlab Simulink: Software and Programming Language
Trusted teacher: Hello, I am an electrical and electronic engineer with extensive experience as a professor in higher education in engineering sciences and electrical engineering, as well as a rich experience as an embedded systems engineer, in EE architecture, ADAS, Testing and validation in the automotive sector. I offer support courses and training in engineering science subjects for graduate students, particularly in Matlab Simulink programming. My methodology is based on the acquisition of knowledge and course concepts in a very simple way and also on practice using the most widely used software on the market. Matlab is both software and a scientific programming language developed by the American company MathWorks which allows various numerical calculation operations to be carried out. For example, manipulating algorithms, displaying data curves or even generating matrices. It is used in everything that is programming, signals and systems, signal processing... It contains another part of graphical programming called Simulink, dedicated to the programming and modeling of dynamic systems (Widely used in the discipline of automatic and industrial regulation). I also give courses and training in: Embedded systems, ADAS systems and automotive engineering Electrical and electronic circuits Automatic Industrial regulation Signal processing C Programming, Assembler, PIC, Arduino LabVIEW PIC microcontroller Microprocessor
Engineering · Computer programming · Computer science
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(1 review)
Vincent - La Celle-sous-Gouzon, France29€
29€Cambridge IGCSE / GCSE /A-Levels / O-Levels / Checkpoint in Computer Science & Information Technology (ICT)
Trusted teacher: 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.
Computer science · Information technology
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 168 reviews.

Learn the tools of InDesign CC 2020 software. (Saint-Gilles)
Renaud
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Renaud very quickly understood my initial knowledge (zero!) and also my reason and interest in the course. Renaud has a lot of knowledge to share and he very quickly assessed my level. He knew where to begin and stop in the session. He was very patient with me and I was completely comfortable with him. As a teacher myself, I can highly recommend him!
Review by CAROL
Private lessons in Mathematics and Science for school students (Delhi)
Tanu
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Tanu is an excellent math teacher who explains concepts clearly and makes learning enjoyable. She simplifies complex topics and ensures thorough understanding. Highly recommend her for improving math skills!
Review by DINESH
Introduction to Cybersecurity (Pentration Testing Tools) (Beirut)
Dr. Hani
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Dr. Hani is great at presenting. He makes the lecture clear and easy to understand. He knows exactly what your needs are and provides instructions accordingly. He very humble with a great accent.
Review by JAYCEE

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