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💻 Computer Programming Classes – Learn to Code from Scratch! Description: Our computer programming classes are designed to introduce students of all levels to the world of coding. Whether you're a complete beginner or looking to improve your skills, our structured lessons will guide you through the core concepts of programming using popular languages such as Python, Java, or C++. In each class, students will learn: Fundamentals of programming (variables, loops, functions, conditionals) Problem-solving and logic building How to write, test, and debug code Real-world applications like web development, automation, and games By the end of the course, students will have built their own mini-projects and gained the confidence to continue exploring the world of technology.

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Algorithms, Databases, Office Automation EXCEL, ACCESS. SQL, MERISE MCD / MLD, VBA, SPSS Analysis, HTML-CSS Website Development, Wix, Word Press, (Courses intended for students: ENCG / UIR / HEM / EMSI / HEC / ISTA / EST / CPGE / FSJES Economics / Faculty of Sciences / Preparation for the CNAEM - BCE competition.)

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I am a Data Scientist / Statistical Engineer who specializes in machine learning and data mining services. I have a great experience in the analysis of données and the mise in place of predictive models for the enterprises at the beginning of the decisions. He proposed designing machine learning and data mining services for companies to help on an additional level of public life. Message domains included: Aggression styles: linéaire, logistique, multinomiale, poisson, etc. Classification patterns: arbres de decision, forêts aléatoires, SVM, etc. Clustering: k-means, DBSCAN, etc. Réseaux de neurons: Réseaux de neurones artificiels, Réseaux de neurones convolutifs, Réseaux de neurones récurrents, etc. Traitement du langage naturel: sentiment analysis, text classification, etc. Chronology analyzes of events: ARIMA, SARIMA, etc. I want you to help prepare your données, install models, improve performance and the developer. I use these tools to use Python, R, TensorFlow, Keras, PyTorch, scikit-learn, etc. Don't hesitate to contact me if you have something to do for your machine learning and data extraction projects. I am available for individual descriptions, formations or major projects.

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The Merise course is a methodology for the design and development of information systems, in particular databases. It is structured around different steps to analyze, design and implement a database in an IT environment. Here is a general description of the main elements of the Merise Database Management course: When using the Merise methodology for database design, one generally works with three main types of models: MCD - Conceptual Data Model: The Conceptual Data Model is a representation of entities, their attributes and the relationships between them, independent of any technical aspect. It is often developed using Entity-Relationship (ER) diagrams. MCD focuses on representing business concepts and the relationships between them. It allows you to visualize the major entities of the organization and their interactions. MMD - Multidimensional Model: The Multidimensional Model is particularly used in the field of data warehousing. Unlike the traditional relational model (used in operational databases), the multidimensional model is designed to analyze data along different dimensions. It is based on data cubes containing measurements and axes (dimensions) to analyze these measurements. This model is more suitable for decision analysis. MPD - Physical Data Model: The Physical Data Model is a concrete and technical representation of the structure of the database. It takes into account the specificities of the database management system (DBMS) chosen for implementation. MPD focuses on implementation details such as tables, columns, data types, indexes, constraints, etc. These three models are generally used as part of the Merise methodology to gradually move from an abstract and conceptual representation of data (MCD) to a more concrete and technical representation (MPD) while taking into account the specific needs of the organization or the project. MMD, on the other hand, is more oriented towards data analysis for decision-making processes and is not directly linked to the physical structure of the database.

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Graduate Engineer in Computer Science offers an individualized pedagogy on computer science in general or in Algorithms and programming also on tools and computer software and databases, My goal is to advance the student without overloading. I give homework after each lesson and periodically provide progress reports. This course is for beginners and intermediate level students. The goal is to learn to programmed functions and think like a professional in the field.

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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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Dive into the world of SQL databases with this comprehensive course designed for learners of all levels. Whether you are new to databases or seeking to expand your expertise to advanced concepts like distributed systems, this course has you covered. What You can Learn: - Fundamentals of relational databases and SQL syntax. - Designing robust databases using normalization and entity relationships. - Writing complex queries, joins, and subqueries. - Database optimization techniques for performance tuning. - Implementing stored procedures, triggers, and views. - Managing transactions and ensuring data integrity. - Understanding and working with distributed database systems like Distributed PostgreSQL

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Description: This course is a comprehensive introduction to database management, including design, administration, and integration into applications. Goals : Understand relational models and the use of the SQL language. Create and administer efficient and secure databases. Integrating foundations into modern applications. Course methods and format: Video courses: Guided practice on tools like MySQL or PostgreSQL. Flexibility: Exercises adapted to your specific projects. For who ? Students, developers or professionals wishing to master databases.

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I offer professional support in sampling, surveying, data collection, and quantitative data management. This service is designed for organizations, researchers, students, NGOs, and businesses seeking to design reliable surveys and effectively utilize their data. My services include defining appropriate methodologies, designing data collection tools, fieldwork supervision, quality control, and database organization and structuring. Support is also available for analyzing and interpreting results. My services are flexible and tailored to specific needs.