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Private lessonsComputer ScienceOnline Computer Science lessons

1369 online computer science teachers

1369 online computer science teachers

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(8 reviews)
Oussama - Soest, Netherlands24Fr
24FrPython Programming & AI Integration for Web Developers: ChatGPT API, Prompt Engineering & AI Features
Trusted teacher: Learn to add AI features to your applications using ChatGPT API. Taught by a Full-Stack Engineer who's integrated AI into real client projects. What You'll Learn: ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app Prompt Engineering: Write effective prompts that give consistent, quality results Production Implementation: Rate limiting, cost management, error handling, security Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging Technologies: OpenAI API (ChatGPT-4) React/Next.js frontend integration Node.js/NestJS backend Secure API key management Cost optimization (don't waste money on API calls) Perfect For: Developers: Add AI to your portfolio (instant differentiation from other candidates) Freelancers: Offer AI integration services Students: Build an AI-powered projects that stands out Entrepreneurs: Add AI features to your product without hiring an AI engineer What We'll Build: AI chatbot for your website (customer support, FAQ assistant) Content generation tool (blog posts, product descriptions, social media) Text analysis features (summarization, sentiment, keyword extraction) Custom AI assistant for your specific use case Real Examples: E-commerce: AI product description generator Real estate: AI property listing writer Marketing: AI social media content creator Education: AI study assistant What's Included: Working code you can deploy immediately Cost management strategies (API calls can get expensive!) Error handling and fallback strategies Production deployment checklist No AI experience needed - just basic JavaScript/React knowledge.
Python · Computer programming · Computer science
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(2 reviews)
Amr - New Cairo, Egypt11Fr
11FrPython 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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(1 review)
Ioannis - Géri, Cyprus24Fr
24FrPrivate 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, Pakistan11Fr
11FrProfessional 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, Belgium31Fr
31FrMaster Microsoft Excel (Beginner - Intermediate - Advanced)
Trusted teacher: >>> What is Excel? Microsoft Excel is a spreadsheet that allows you to do calculations, analyze data with formulas, tables and graphs. >>> What about pedagogy? I favor the learning by doing method >>> Who am I? For information, I am consultant / trainer and certified Microsoft Excel Expert. I have considerable experience in training. Indeed, I have trained hundreds of people whether in groups, or in private. >>> Location of the training? The place is to be agreed with the apprentice. Training can also be organized remotely (Teams, Zoom, Google Meet, Skype...) >>> Content of the training I can adapt to your level and your needs in terms of content. Here is a non-exhaustive example of the subjects taught. **** Excel Training (Beginner and Intermediate) **** Part I: Basic Concepts What is Excel? Discover the Excel window. Workbooks, spreadsheets, cells. Use the toolbars, the menu, the help. Part II: Working in a spreadsheet Identify basic concepts Manage cells: capture and copy Set up formulas. Master the modes of referencing cells: absolute, relative. Insert, delete rows or columns, move fields. Part III: Formatting a spreadsheet Format cells: present numbers, text, titles. Define conditional formatting. Print the entire sheet or part. Build the layout: titles, pagination Part IV: Workbook Management Save, edit a workbook. Divide your data over several sheets. Insert, delete, move, copy a sheet. Edit multiple sheets simultaneously Part V: Data Analysis Using Functions Calculate percentages, establish ratios. Perform statistics: AVERAGE, MAX, MIN Apply conditions: SI. Use functions: NOW, TODAY. Consolidate multiple sheets of a workbook with the SUM function. Part VI: Linking spreadsheets Transfer data from one table to another Copy / paste with link. Create summary tables. Part VII: Illustrate with graphics Create a chart from a table Change the type: histogram, curve, sector. Add or delete a series. **** Excel Training (Advanced) **** Part I: Configure Excel Options Set up Excel options. Customize the interface. Part II: Gaining time to present his paintings Define styles, use themes. Define conditional formats. Insert Sparklines charts. Part III: Creating simple and complex calculation formulas Master the various modes of referencing: relative, absolute, mixed. Name cells. Set up simple and complex conditions: IF, OR, AND. Calculate statistics: NBVAL, NB, NB.SI. Use mathematical functions: Sum and SUM. Retrieve data with search functions: VLOOKUP Calculate dates, times: DATE(), DAY() and MONTH() ... Manipulate text: CAPITAL, MINISCULE and CONCATENATE. Protect formulas, sheets or binders. Part IV: Consolidation of data Link multiple cells in a workbook. Manage connections between workbooks. Consolidate tables in a workbook. Consolidate data from multiple workbooks. Part V: Exploiting Data Lists Tris multicriteria. Custom sorting: Numeric, Textual and Chronological. Extract data: advanced filters. Delete duplicates. Part VI: Implementing Pivot Tables / Charts Create charts / pivot tables Group the information by period and by slice. Filter and sort Segment filters Show / hide data. Add ratios and percentages.
Computer science · Microsoft excel
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(2 reviews)
Abdelali - Tangier, Morocco30Fr
30FrMatlab 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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(4 reviews)
Bozhidar - Zürich (Kreis 6), Switzerland36Fr
36FrMath/Computer Science Tutoring for high-school and BSc Computer Science students
Trusted teacher: Hey! Are you looking for a young, approachable yet meticulous tutor in Computer Science or Mathematics? Then I believe I might be the tutor for you! I offer lessons in the aforementioned subjects (English only) for high-school and bachelor students at the start of their studies. A little bit about me: My name is Bozhidar and I am a MSc Data Science student at ETH Zuerich. Last year, I completed my bachelor's in Computer Science at TU Delft (the #1 technical university in the Netherlands) with distinction. I was a teaching assistant for 10 courses during my stay at the university. Additionally, I have given private lessons to a few high school and bachelor's students, so I believe I have accumulated enough experience with guiding and tutoring students across different disciplines. I have found out that I enjoy teaching a lot, so that is why I am here - to help you and myself! My expertise: During my high school years, I won tens of awards and scholarships for achievements in Mathematics and Computer Science. I also won my high school's recognition award which is given to one student every year for distinctive results. I've helped high-school and university peers with exam preparation, taught whole courses privately, prepared sample exams, and reviewed and graded real ones. Regarding the university courses I have experience in, I have taught: - Object-Oriented Programming - Reasoning & Logic - Computer Organisation - Algorithms and Data Structures - Web and Database Technologies - Calculus - Information & Data Management - Automata, Computability and Complexity - Concepts of Programming Languages - Computational Intelligence Here are some of the reviews I have received as a teaching assistant: Overall: 4.97/5 (70 reviews) 5/5 - "Great job! Did far more than just explaining this example and went far deeper into the material, helping me to understand it." 5/5 - "Favourite TA. Always there for the difficult questions. Never leaves anything unanswered no matter how long it takes." 5/5 - "Delightful person with an insightful way of thought! Brilliant TA!" 5/5 - "Clear explanations and expert in the material" So, what are you waiting for? Write me a message and let's get the knowledge train running.
Math · Computer science
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 152 reviews.

Professional Full-Stack Web Development: React, Node.js, AWS & Production Deployment (Les Bons Villers)
Oussama
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I have no prior experience in this area and I took lessons with Ousamma. He has enough patience and a knack in guiding you step by step through the lessons and exercises in a very simple way to understand them well. He is an invested teacher that is kind and polite. He will help you to develop your abilities and to feel confident in order to achieve your goals. I warmly recommend him and extend my gratitude his great support throughout my learning journey.
Review by BEN
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
Math/Computer Science Tutoring for high-school and BSc Computer Science students (Zurich)
Bozhidar
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Mr. Bozhidar is really knowledgable and teaches really well. Even if the topic is a little confusing, he breaks it down and explains things in simple terms. He encourages students to try solving things by themselves first to improve logic and problem solving skills. Every question I had was answered and explained easily. Highly recommend!
Review by KIA

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