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Computer Programming – From Basics to Real-World Practice

From 19.23 £ /h

This programming course is intended for beginners as well as people who already have a foundation and wish to improve their skills.
We will cover programming logic, the basics of algorithms and practice through concrete examples.

Depending on your level and objectives, the course may include:

Introduction to programming

HTML, CSS, JavaScript

PHP / Node.js

Databases (MySQL, PostgreSQL)

Understanding and correcting errors in the code

Completion of small practical projects

The approach is progressive, clear, and practice-oriented.

Extra information

Have a laptop

No prerequisites for beginners

Opportunity to work on your own projects

Location

Online from Morocco

About Me

I am a full stack web and mobile developer and hold a Master’s degree in ISI (Information Systems Engineering). I have extensive experience in designing, developing, and deploying web and mobile applications, and I teach students how to build real-world projects from scratch.

Skills and Competencies:

Front-End Development:

HTML5, CSS3, JavaScript, TypeScript

Responsive Web Design, Bootstrap, Tailwind CSS

Frameworks: Angular, React.js, Vue.js

UI/UX design principles, interactive web interfaces, single-page applications (SPA)

Back-End Development:

PHP programming, Symfony framework

Node.js & Express.js

RESTful API development and integration

Database management: MySQL, PostgreSQL, Firebase

Mobile Development:

Flutter (front-end), Dart programming

Mobile apps connected to APIs and databases

Firebase integration (authentication, storage, real-time data)

Additional Skills:

Git/GitHub for version control

Deployment: Heroku, Firebase Hosting, cPanel

Debugging, optimization, and error correction

Project architecture (MVC, modular code)

Agile methodology and project management basics

What I offer:
I guide students step by step, provide personalized advice, mentorship, and code review. I help apprentices and beginners complete their web or mobile projects successfully.

Education

Master’s Degree in ISI (Information Systems Engineering), Faculty of Sciences, Qadi Ayyad

Professional Bachelor’s Degree in Web Technology and Programming, Faculty of Sciences, Qadi Ayyad

DEUG in Mathematical and Computer Sciences, Faculty of Sciences, Qadi Ayyad

Experience / Qualifications

Full Stack Mobile Develope

Full Stack Web Developer

Experience in building real-world applications for apprentices, students, and beginners

Mentoring and supporting students in projects, debugging, and best practices

Age

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

French

English

Arabic

Skills

Computer programming

Web development

Reviews

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

IT Project Assistance & Support

21.37 £ /h

Personalized support for students, freelancers and entrepreneurs wishing to succeed in their IT projects.

Help with:

Project structuring

Technology choices

Specifications

Code correction and improvement

University projects (final year projects, final year projects, dissertations)

Finalization and delivery of the project

Flutter for developing web and mobile apps

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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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doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

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Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

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* This digital training aims to introduce you to the Scratch tool and through the game world, and gradually, to discover programming concepts such as loops, conditions or variables. It is aimed at anyone who is new to Scratch and who wants to create games and animations.

* Learning programming will allow students to develop their skills and will certainly allow them to meet the expectations of the future working world and emerging careers.

* In addition, learning programming allows the development of algebraic, algorithmic and computational thinking. Programming also helps to improve and develop students' sequencing ability, as well as their communication skills. Thus, there are several advantages to teaching programming, but the important thing is to remember that this learning teaches students that digital is not only for entertainment, but that it is possible to become creators. active and creative content.

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Master Python with Personalized Courses

Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels.

Why Choose My Courses?

Personalized Teaching Approach: Each course is tailored to your skill level and individual goals.

Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

Ongoing Support: Get unlimited email support for any questions you have between sessions.

As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey.

Book Your First Lesson:

Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

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In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments.

Contact me if you want to have more information about the course!

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💻 Computer skills: an essential 21st-century skill

Today, mastering computer skills is no longer a luxury, it is a necessity.
Not having the basics can quickly become a hindrance to school, academics or career.

👉 Contact me now to:

• acquire a solid foundation in computer science
• deepen the fundamentals of programming (for advanced levels)
• Strengthen your skills in a clear, structured and sustainable way

📘 Mathematics – Secondary Level
Are you experiencing difficulties? I will guide you step by step to raise your level, understand and progress methodically.

📍 Lessons at home or remotely (video conference)
🎯 Objective: to understand, reason, and succeed
📞 Available for customized support.

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This course is designed for beginners, students, and future developers who want to build real Python projects while learning programming step by step.
Instead of only learning theory, we focus on hands-on practice and real applications of Python.

Topics may include:
- Python fundamentals
- Automation projects
- AI-related tools and workflows
- finance and data projects
- beginner web development
- problem solving and coding logic

No previous programming experience is required.

Students can also receive help with:
- university assignments
- coding projects
- beginner portfolios
- internship preparation

Lessons are adapted to the student’s level and goals.

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This fun and interactive course introduces kids and teens to the fundamentals of coding using Scratch, a visual programming language developed by MIT. Students will learn to create games, animations, and interactive stories while developing problem-solving, logical thinking, and creativity skills—all in a playful, drag-and-drop environment!
Who Should Join?
✔ Kids & teens curious about coding and game design
✔ Young learners who enjoy storytelling, art, or technology
✔ Future coders looking for a fun introduction to programming

Yassine

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How Our Courses Work: Beyond the Surface
What my working method brings you:

--> a deep understanding that lasts long after the exam. With me, we'll transform passive learning into engineering mastery.

1. Revelation of the Implicit and Active Construction
Decoding the Invisible: I don't just give you the answer; I help you decipher what's hidden and implicit behind the formulas and lines of code. Together, we'll dissect the concepts to understand their true origins and usefulness.

Build and Analyze: Each session is a workshop. We will build solutions and analyze problems in pairs, allowing you to develop independent reasoning, essential for higher education.

2. The Art of Lasting Memorization
Analogies and Anchors: I use concrete analogies and vivid examples to explain the subtle differences between two related concepts. The goal? To create strong mental anchors so you never forget the fundamental concepts.

From Confidence to Excellence: I'll share with you the work methods and organizational skills that allowed me to excel in my academic career and engineering career. You'll leave not only with knowledge, but also with a strategy for success.

My commitment: To make you see Mathematics and Computer Science no longer as subjects to be learned, but as a single logic to be mastered.

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🐍 Python Course – Learn to code and create your projects!

This course is for anyone who wants to:

✅ Learn Python from the beginning
✅ Strengthen their programming skills

📚 On the program:

Variables

Loops

Functions

Data structures

Practical projects for implementation

💡 How does the course work?

Clear explanations to understand the programming logic

Targeted exercises adapted to your level

Concrete projects to create your own applications

🎯 My goal:

Helping you understand the logic behind the code

Progress at your own pace

Create your own projects in Python and gain independence

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Course Topics Include:

Network architecture and reference models (OSI and TCP/IP)

IPv4 addressing, subnetting, CIDR, and basic IPv6 concepts

Switching fundamentals (MAC address tables, VLANs, trunking)

Routing principles and static routing configuration

TCP and UDP protocols, ports, and socket communication

Core network protocols (ARP, ICMP, DNS, DHCP, HTTP/HTTPS, FTP)

Network infrastructure devices (routers, switches, firewalls, wireless access points)

Introduction to network security fundamentals

Basic network troubleshooting methodologies and CLI analysis

The teaching methodology combines structured theoretical explanation with practical examples to ensure students understand how real-world networks operate in enterprise and campus environments. Packet flow analysis and scenario-based exercises help bridge theory with practical implementation.

Target Audience:

High school and university students in Computer Science, Information Technology, or Engineering

Beginners preparing for CCNA certification

Individuals seeking a strong networking foundation before advancing to cybersecurity, cloud computing, or advanced infrastructure studies

By the end of the course, students will confidently understand how data travels across networks, how routing and switching function, and how modern network infrastructures are designed, implemented, and managed.

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Learn to create websites from scratch with practical online classes tailored to your skill level. I offer training in HTML, CSS, JavaScript, PHP, databases, WordPress, and e-commerce.

The classes are designed for both beginners and students who need support with their studies, projects, or professional certifications. We'll work with real-world exercises and step-by-step explanations so you can understand the material and apply it independently.

I can also help you with the installation and use of Visual Studio Code, XAMPP, MySQL, phpMyAdmin, Moodle, WooCommerce, and other digital tools.

I'm a computer science and new technologies teacher with experience in face-to-face training, virtual classrooms, and online learning. Classes are personalized to your knowledge, goals, and learning pace. 💻

Ammar

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Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box.

I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.

This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.

PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices

SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
• Introduction to APIs when relevant
• Python and SQL workflows
• Research and quantitative applications
• Project development from idea to working solution

MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
• Predictive modelling and data mining
• Neural-network foundations

ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making

Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.

My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.

We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.

Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.