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Are you preparing for your Digital and Computer Science (NSI) exams and want to maximize your chances of success? "NSI Booster: Intensive Preparation to Shine in Your Exams!" is the course you need to revise effectively, fill in your gaps, and excel on the big day! This comprehensive and intensive program is specially designed for students in Première and Terminale to master all the key concepts of the NSI program and pass with flying colors. Why choose this NSI preparation course? Optimize revision time: Focus on the essential concepts to save time and revise efficiently. Deep understanding of concepts: Don't just memorize, really understand the basics of computing to succeed in the most complex exercises. Intensive practice: Practice with corrected exercises, exam questions and past papers to be fully prepared. Exam Methodology: Learn how to manage your time, structure your answers, and avoid common NSI question pitfalls. Confidence and serenity: Work in a progressive and structured manner to arrive calm on the day of the exam. What you will learn: This course covers the entire NSI program for Première and Terminale, focusing on the concepts most often covered in exams: 1. Algorithms and Programming: Advanced algorithms: Algorithmic complexity, recursion, sorting and searching (quick sort, dichotomous sort). Programming in Python: Advanced syntax: list comprehension, lambda, decorators. Data structures: lists, tuples, dictionaries, sets. Functions and modularity: Decomposition of the problem, reuse of code. File Management: Reading and writing files to process real data. Object-oriented programming: Classes, objects, inheritance, polymorphism in Python. Practical projects: Development of complete programs to apply the concepts covered. 2. Data Structures and Algorithms: Lists, Stacks, Queues, and Trees: Implementation, Manipulation, and Use in Problem Solving. Graphs: Representation (adjacency matrix, neighbor list), breadth-first (BFS) and depth-first (DFS) traversal. Sorting and searching algorithms: Merge sort, quick sort, binary search. Algorithmic complexity: Big-O notation, analysis of algorithm performance. 3. Databases and SQL: Data modeling: Relational model, database design with the Entity-Relationship model. SQL: Select, insert, update and delete queries. Joins (INNER JOIN, LEFT JOIN, RIGHT JOIN). Aggregate functions and subqueries. Optimizing queries for better performance. Practical projects: Creation and management of databases for concrete applications. 4. Computer and Network Architecture: Hardware architecture: Processor, memory (RAM, cache), input/output devices. Computer operation: Instruction cycle, execution of programs in memory. Computer networks: OSI model and TCP/IP. IP addressing, routing, protocols (HTTP, FTP, SMTP). Network security: firewall, encryption, VPN. 5. Web and Front-End Development: HTML/CSS: Structure and formatting of web pages. JavaScript: Dynamics of web pages, manipulation of the DOM, events. Practical projects: Creation of interactive websites to apply the skills acquired. Methodology and educational approach: Targeted and structured revisions: Each module is designed to cover the key concepts of the NSI program while adapting to your level and your needs. Practical exercises and exam questions: Practice with targeted exercises and past exam questions to familiarize yourself with the exam format. Detailed correction and personalized feedback: Each exercise is corrected in detail with a thorough explanation of the solutions. Exam methodology: Advice on how to read and understand the statements, structure your answers and manage your time on the day of the test. Interactive Online Classes: Classes are conducted online with the use of audio and screen sharing, ensuring seamless communication and interactive learning. For who ? This course is aimed at: NSI students in their first and final year of high school who want to pass their exams with intensive and targeted preparation. Computer science students wanting to strengthen their foundations in programming and algorithms. Self-taught people passionate about programming and computer science looking to deepen their knowledge. Parents who wish to support their children in their academic success in computer science. Why choose this course? An experienced teacher: The course is led by a computer engineer with a perfect command of the NSI program, with a clear and motivating teaching approach. An intensive and comprehensive program: Each concept is covered in depth, with varied exercises to practice all types of questions. Personalized support: The content and pace of the course are adapted to your level and your objectives. Flexibility and accessibility: Learn from home at your own pace, with additional resources to deepen your knowledge. How does it work? Initial assessment: A personalized assessment to identify your objectives and your starting level. Interactive online courses: Learn from home with live explanations, demonstrations and practical exercises. Intensive training: Series of exercises and past papers to prepare you for written and practical tests. Personalized monitoring: Receive regular feedback on your progress and advice to continuously improve. Register now ! Don't leave anything to chance when it comes to your NSI exams. Join "NSI Booster" for intensive and targeted preparation, and give yourself every chance of excelling in your exams!

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Algorithmic and programming course for students or professionals of any level. Possible themes (not exhaustive): - Data structures - Advanced algorithms - Data analysis. Pandas / Numpy / Matplotlib - Using API - Creation of web applications in Python with Flask) + Javascript / CSS / HTML / Jquery initiation etc ... - Performance search, Python code compilation in C, code optimization - Monte Carlo simulations - Using an Azure environment (Databases, azure functions, virtual machine, etc ...) Possibility of giving more intensive courses to prepare exams.

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I am a Java/Scala/Javascript developer with 7 years of experience in the professional world, I like teaching and sharing my knowledge. I can travel or do online courses (given the context of covid19). I am punctual and a teacher.

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23Students

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work. Topics include: Python fundamentals through a finance lens (data structures, functions, control flow). Working with financial data and datasets. Performance benchmarking and writing efficient code. Applying concepts from Hilpisch's Python for Finance.

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15Students

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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7Students

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.

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6Students

Learn Python by building something you’ll actually use Ever wanted to code but had no idea where to begin? You’re in the right place. In these relaxed, one-on-one lessons, you’ll go from zero to writing real programs, with no experience required. Together, we’ll choose a project that fits your interests. Maybe it’s a video game you want to build or a quiz to challenge your friends, a chart built from your own spreadsheet, or a script that takes over a boring, repetitive task. Along the way, you’ll pick up the essentials (variables, loops, functions) and learn to read error messages without panic, so you can change your code with confidence. Where you can go next AI-assisted coding: Use tools like ChatGPT to brainstorm, decode errors, and improve your code, while learning to test its suggestions and explain how the final result works. Machine learning: Train a simple model on a real dataset and see how well it predicts. Your own project: Bring an idea from school, work, or a hobby, and we’ll break it into steps you can build at your own pace. Your instructor I’m an engineer with a master’s degree from Nagoya University and research experience in applied AI and computer vision. I explain every concept in plain language, then give you time to try it yourself with live feedback, so you’re never stuck alone. Ready to start? Send me a quick message and let's do your first coding project together.

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6Students

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.