Computer science courses (Algorithms, Python, SQL, Power BI and MS office)

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.

What You Will Learn: Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation. Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis. Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio. How You Will Benefit: Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career. Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance. Professionals: Enhance your skill set to meet industry demands and open up new career opportunities. Why Choose My Courses?: Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support. Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding. Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.

Want to crack coding interviews, ace your exams, or build strong logic skills? My DSA classes are designed to make you think like a programmer — whether you prefer Python, Java, or C++. Choose the language you're most comfortable with — Python, Java, or C++. I adapt the lessons to suit your choice without compromising on concepts. From arrays and linked lists to trees, graphs, recursion, and dynamic programming — I break it all down with simple explanations and visual thinking so you actually understand, not just memorize. We focus on solving problems — not just writing code. You’ll build real problem-solving intuition to tackle any question with confidence. New to DSA? No problem. Already have some experience? We’ll push further. I tailor every class to your pace and goals. Ask questions freely, revisit concepts, and practice with guidance. I’m here to make DSA feel less like a struggle and more like a skill you’re proud of.

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!

Learn Data Communication & Networking!🌐 Are you interested in understanding how data moves across networks, how the internet works, and how to build efficient communication systems? I’m excited to announce that I will be offering Data Communication and Networking classes! 📌 What You’ll Learn: ✅ Networking fundamentals and protocols ✅ OSI and TCP/IP models explained ✅ Wired vs. wireless communication ✅ IP addressing and subnetting ✅ Network security basics ✅ Real-world applications and hands-on practice 📌 Who Is This For? 🔹 Students, tech enthusiasts, and IT professionals 🔹 Anyone looking to improve their networking skills 🔹 Those preparing for networking certifications 📌 Why Join? ✔️ Practical, easy-to-understand lessons ✔️ Hands-on exercises and real-world examples ✔️ Learn from an experienced instructor If you’re interested, feel free to reach out for more details. Let’s dive into the world of networking together! 🚀

💻 Introduction to Python and Algorithmic Programming Full title: Python programming and introduction to algorithms for beginners and high school students (high school & university level) (100% distance learning — for high school students, college students, beginners or adults retraining) Programming is an essential skill today, whether for studies, personal projects, or the professional world. But when you're just starting out, it's easy to feel lost when faced with seemingly complex lines of code or computer logic. That's where I come in! With a progressive, caring, and structured approach, I help students get to grips with Python—one of the most accessible and powerful languages—while discovering the basics of algorithms in a simple and concrete way. My goal is to transform the apprehension of coding into curiosity and joy of learning, and to lay solid foundations so that each student progresses with confidence. 🎯 Course objectives Learn the fundamentals of Python programming from scratch. Develop logical and algorithmic reflexes. Understand and build simple but useful programs. Inspire a taste for programming through accessible and concrete projects. 📚 Course content ✔ Python Basics – Syntax, indentation, comments – Variables, data types (numbers, strings, lists...) – Conditions (if, elif, else) – Loops (for, while) – Simple functions – Notions of modules and libraries ✔ Algorithms for beginners – Understand what an algorithm is – Writing in pseudo-code and Python – Sorting algorithms (bubble sort, insertion sort, etc.) – Searching for items in a list – Getting Started with Recursion – Simple optimization and complexity ✔ First practical projects – Creation of mini-games (e.g.: guess the number, rock-paper-scissors) – Simple calculator or unit converter – Automation of basic tasks (for example: automatic sorting of a list of students) – Small personalized projects based on the student’s interests 🧭 How the sessions work 1️⃣ Assessment of level and objectives (complete initiation, reinforcement, preparation for a competition or a project). 2️⃣ Tailor-made progression plan, with concepts covered step by step. 3️⃣ Alternating theory/practice to quickly develop autonomy. 4️⃣ Exercises, mini-challenges and projects to apply each concept learned. 5️⃣ Corrections and detailed explanations for each difficulty encountered. 6️⃣ Personalized monitoring, with regular assessments and continuous adaptation of the pace. 🌍 100% online courses – modern and adapted teaching methods Sessions via Zoom, Google Meet, or any other tool of your choice Interactive materials provided after each session: annotated codes, PDF files, exercises, tutorials Flexible hours, compatible with busy schedules and time differences (ideal for students living in the Gulf countries or elsewhere) Possibility of individual or small group lessons (siblings, classmates, etc.) 👨‍🎓 For whom? High school students or students in a technology/science stream wishing to prepare for higher education Students at the beginning of a computer science or science course Adults in professional retraining, curious to learn to code Complete beginners wishing to develop their digital skills With me, you'll learn to think like a programmer, not just copy code. You'll gain logic, rigor, and autonomy—valuable assets for the future. If you have any questions or would like to discuss the most suitable path, please do not hesitate to contact me. I am here to guide you with enthusiasm and kindness.

Computer Science is more than just code—it's the foundation of innovation in today's world. In this comprehensive live class, I’ll guide you through everything from the basics of Computer Science to Object Oriented Programming (OOP), Data Structures & Algorithms (DSA), and advanced computing concepts. We’ll cover: Core Programming Languages: Python, C, C++, Java, JavaScript, and more AP Computer Science Preparation Hands-on Project Development Artificial Intelligence, Data Science & Machine Learning I can teach in my own structured style or fully adapt to your preferred curriculum, pace, and goals—whatever helps you learn best. Whether it’s exam prep or real-world projects, we’ll build your Computer Science skills your way.

In this course, you'll learn Python from the ground up, starting with the basics and progressing to more advanced concepts. You'll gain hands-on experience writing Python code, working with data structures, and using libraries to solve real-world problems. By the end of the course, you'll be confident in your ability to write Python programs, automate tasks, and tackle challenges in various domains.

Are you interested in learning to program from scratch or improving your current skills? I offer private programming classes tailored to your level and goals. What will you learn? - Programming fundamentals (variables, control structures, functions, logic, etc.) - Languages like Python (ideal for beginners, automation, data science) and JavaScript (key for web development). - Good practices and logical thinking. - Practical projects to reinforce what has been learned. Mode - Flexible schedules - Support material included - Guided exercises and personalized follow-up Who is this for: - Students, professionals from other fields, or anyone who wants to get started or delve deeper into the world of programming. Learn to program in a clear, practical way, focused on your goals.

Master pseudo-code algorithms in this hands-on course with dozens of different algorithms In this course, you will learn the basics of computer programming through the fundamental subject taught in all higher schools of computer science: algorithms. This is the initial stage of your learning to become a computer scientist (programming) First we will see a broad introduction to computer programming, and we will explain what algorithms are. Then, you will learn the language of computer scientists by studying "pseudo-code", and you will learn all the concepts of computer science through a multitude of practical exercises. The topics covered are very broad and comprehensive: Introduction - Algorithm Syntax - data type and Variables - The operators - The instructions - Conditions - The repetitive structure (loops) - The tables - Research techniques - Sorting algorithms - dichotomous search - Functions - The procedures - Recursion -complexity - Introduction to the C language - ... Your first programs... Finally, you will start programming by creating several algorithms in a specific programming language (here, C language). These algorithms are applicable in all programming languages. The goal... With more than 8 hours of e-courses, quizzes, and an assessment, you will have what you need to continue your learning of computer programming and advance towards your future profession. Who is this course for? Beginner in programming Retraining Computer science students or future students Thanks and see you soon ! IMAD

I am currently working as an independent consultant, technical writer, online teacher 🧑‍🏫 and course content developer in Python, and a wide range of Machine/Deep Learning topics 🧑‍💻. My experience enables me to offer lessons ranging from beginner to advanced levels. I can tailor the classes to your specific needs and schedule, providing a well-structured learning path 🚀. What do you get from me? 👉 Learn at your own pace without any pressure 👉 Well-documented tutorials What topics do I usually cover at the beginning for people without Python experience? ✔️ Understanding the basic concepts (variables & types) ✔️ Math & Statistics (explained easily) ✔️ Data Manipulation (data cleaning, preprocessing...) What topics do I cover for people with Python experience? ✅ Classic libraries: Pandas, NumPy, Scikit-learn, TensorFlow ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Neural Networks, Ensemble Methods, Clustering, Dimensionality Reduction ✅ MLOps: MLflow, Prefect, GCP, AWS Whether you are new to the field, seeking to enhance your skills, or require assistance with a work/school project, feel free to reach out to me! 😉

This course offers a progressive introduction to algorithmic thinking and Python programming. Through clear explanations, concrete examples, and practical exercises, learners will discover how to analyze a problem, design an efficient algorithm, and then translate it into Python code. No prior programming experience is required: this course is aimed at beginners who are curious to learn to code by solving problems in a logical and structured way.

Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

Looking to master programming and become a skilled developer? In this course, you'll learn the basics of Python and other programming languages, as well as how to use them to build machine learning models. We also offer specialized assistance for students in programming and database management using SQL (CPGE students). Python is a powerful general-purpose language used in web development, data science, software prototyping, and more. Its simple and easy-to-use syntax makes it an excellent choice for beginners learning to program. Additionally, upon request, we offer courses in other programming languages such as C, R, and MATLAB. Classes can be conducted remotely or in person, and we tailor our instruction to meet individual or group needs. If you have any questions, feel free to contact us.

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! ---