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As a Data Engineer with 9 years of experience, I am passionate about teaching and sharing knowledge. I work with students of all levels (middle school, high school, and higher education) and adults in training or retraining. My strength: combining solid technical mastery and clear teaching to make the most complex concepts simple and accessible. 🔹 What I offer Mathematics: homework help, refresher courses, exam/baccalaureate preparation, in-depth study (up to high school level). SQL & Data: simple to advanced queries, optimization, concrete projects Power BI: interactive dashboard design, modeling, custom indicators Methodology & logic: work organization, reasoning, problem solving 🔹 My method Courses 100% adapted to your level and your objectives Clear explanations, concrete examples and immediate practical application Visual aids and personalized exercises Regular monitoring of progress 🔹 For whom? Middle and high school students wishing to consolidate their skills Higher education students (BTS, DUT, bachelor's, master's) Professionals retraining or wishing to improve their skills in data 📍 Online or home courses (depending on location) 🕒 Flexible – available evenings and weekends

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I have a Master’s degree in Data Science from a UK university and a background in working with students and professionals who want to improve their skills in Python, SQL, or data analysis. I enjoy teaching in a practical, supportive way and always try to explain complex topics in simple terms. I also work on small real-world projects and guide learners through the logic behind every task. My goal is to help you feel confident and make steady progress.

Do not deal with the manual with terms of reference statements and basic documents that cannot be obtained in order to avoid the MongoDB problem. Please include the connection to one of the MongoDB données base, comment on simple CRUD operations and sujets clés que l'agrégation, l'indexation, la mode des données et les Transaction. 1- Install MongoDB 2- Implement MongoDB 3- Use of documents and collectibles 4 - Leadership Committee 5- Execute CRUD commands (create, read, update, delete) avec mongo shell 6- Type the register in a MongoDB database 7- Reset the base to remonter specific documents depuis mongo shell. 8- Lagrégation 9- Indexing 10- Amending institutions and transactions

This course is designed for anyone who wants to learn practical data skills using Python, SQL, and Oracle databases. Whether you're a complete beginner or looking to strengthen your data handling skills, I’ll guide you step-by-step through core concepts and real-world projects. You'll learn: Python programming basics and data analysis tools for data science, data engineering and data analytics SQL queries: SELECT, JOIN, GROUP BY, procedures, Functions and subqueries How to work with Oracle Database: tables, indexes, stored procedures Real-world use cases from business and data science Best practices for clean, efficient, and scalable code Lessons are project-based and tailored to your skill level, whether you're in school, switching careers, or preparing for a job in data or IT.

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