Introduction to programming and/or office software

I am a data expert, and I offer you a complete 8-hour training course in business intelligence (Data analyst). The training will be organized as follows: - Courses (summary slides) to master the life cycle of a business intelligence project (ETL, data integration, modeling, reporting) - Theoretical exercises on modeling business intelligence problems (star diagram, snowflake diagram). - practical case study using SQL server tools: SSIS, SSAS, SSRS - reports with QlikView

Good morning ! My name is Rida, and I am a freelance computer teacher. I have 4 years of experience teaching computer science to students of all levels and ages, from beginners to experts. My teaching method is interactive and personalized, which means that I adapt my lessons to the individual needs and objectives of each student. Whether you're looking to learn computer basics, brush up on programming, or prepare for an exam, I'm here to help you achieve your goals. During our lessons, we'll focus on all aspects of computing, including programming, databases, web development, networking, security and more. I will provide materials and resources tailored to your level and interests, and we will practice through a variety of activities, such as problem solving, hands-on projects, and discussions. My goal is to create a fun and supportive learning environment that motivates you to reach your full potential in IT. So, if you're ready to improve your computer skills, let's start now!

• Mathematics: Mathematics develops logical reasoning, quantitative analysis, and abstract thinking — essential tools for problem-solving in science, engineering, economics, and beyond. • Physics: Physics provides a fundamental understanding of the natural laws governing matter, energy, space, and time, forming the basis for technological innovation and scientific advancement. • Computer Science: Computer science equips students with algorithmic thinking and programming skills to design efficient solutions, drive automation, and innovate across digital systems and computational platforms.

I am an associate professor and state engineer from ENSEM, I offer courses in python programming and sql. I am friendly and motivated, with a good work methodology. A report will be given after each session to detail the concepts discussed. I spent 2 years in preparatory classes for engineering schools, then 3 years at the National School of Electricity and Mechanics to obtain a state engineer diploma in computer science. Then I did 2 years of training at the crmef to pass the aggregation competition. I am now an associate professor in computer science and I want to share my skills with students.

With the fast-changing connected world, computer science is a key area for future careers across the world, learning about computer science is indeed for everyone, not only for getting a job but also for understanding what happens in our world. Nowadays literacy is not about reading or writing, it is about how to use a computer, how to search... computer science is the future major, that everyone should learn or only have a little information about, it is indeed for everyone. The class is about everything in computer science, and it will be specialized for you considering your level and your interest too. From how the internet, how computers work to specific skills such as programming and networking and advanced stuff, that you will need in your daily life, your work or just your interests.

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.

Master pseudo-code algorithms in this hands-on course with dozens of algorithms What you will learn - The basics of computer programming - Algorithms - Pseudo code - Create your first programs

My goal is to help my students progress and succeed in their exams. So that they can overcome their difficulties, I provide them with effective educational support, on an ad hoc basis or throughout the school year. Concretely, I analyze my student's profile then identify their gaps and/or difficulties to finally implement tailor-made methodologies. My teaching is aimed at students from 6th to 12th grade, all sectors combined. I assure you that with weekly monitoring and the right methods you will make progress!

Unleash the thrill of numbers with vibrant, interactive lessons that transform math into an adventure! As your dedicated private tutor, I turn math and ICT into an exhilarating journey where every challenge becomes an opportunity to shine. Dive in with me and experience how solving problems can be both simple and electrifying.

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.

Use the Zoom or Google meet plateforms to view the distance from the tables and logic devices to present the courses and some basic methods to make the student feel satisfactory and the most important things about your son’s object..

This course is for those who want to take their first steps in computer programming. Together, we will discover the fundamentals of programming as well as the main elements that make up an algorithm: variables, conditions, functions, loops, arrays, and more. All courses are interactive, combining theory and practice. You'll write your first algorithms in pseudo-code, and we'll implement them together using a programming language to ensure you understand and assimilate the various concepts. The number of courses required to master the material is around ten. This number, however, varies depending on your level and the speed at which you wish to progress. The courses are accompanied by materials and practical exercises to do at home, to allow you to assimilate the material as best as possible.

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! ---

Are you ready to unlock the immense potential of Artificial Intelligence (AI) tools (ChatGPT, DallE, invideo etc.)? Join our tutoring class, "AI Tools Mastery: Harness the Power of Artificial Intelligence Tools," and dive deep into the world of AI technologies that are shaping the future to stay ahead of your competition. In today's fast-paced digital landscape, AI tools are revolutionizing how we approach problems, analyze data, and make decisions. This course is your key to mastering these AI tools and staying at the forefront of technological advancement. Throughout this course, we'll focus exclusively on AI tools, equipping you with the knowledge and practical skills needed to leverage these technologies effectively. Just as a photographer relies on Photoshop to enhance images, you'll learn to harness the power of AI tools to supercharge your projects and remain relevant in a rapidly evolving world.

The "Algorithms in Python" course is designed to teach you the fundamentals and advanced concepts of algorithms using the Python language. You will discover fundamental data structures, programming paradigms (iterative, recursive, divide and conquer, dynamic programming), and learn how to efficiently solve algorithmic problems. Through practical exercises and projects, you will develop essential skills for analyzing and optimizing algorithms, while improving your programming logic.