Basic computer studies, computer programming and computer networking

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.

This course offers a holistic approach to learning by combining the crucial areas of mathematics, physics and computer science. Suitable for all levels, from beginner to advanced, it aims to provide a solid foundation in these interconnected disciplines. Course content : 1. Mathematics: - Algebra, geometry, differential and integral calculus. - Solving complex mathematical problems. - Application of mathematics to concrete concepts. 2. Physics: - Classical mechanics, electromagnetism, thermodynamics. - Experiments and resolution of physical problems. - Practical applications of physical principles. 3. IT: - Programming languages (Python, Java, etc.). - Algorithms, data structures, and software development. - Practical projects to strengthen programming skills. Educational goals : - Provide an in-depth understanding of fundamental concepts in each discipline. - Encourage problem solving using integrated approaches. - Stimulate critical thinking and creative solving of challenges related to mathematics, physics and computer science. - Adapt the course according to the experience level of each learner. Methodology : - Interactive lectures. - Group problem solving sessions. - Practical projects to apply the concepts learned. - Individualized monitoring according to the needs of each learner. Target audience : - Secondary and higher education students. - Professionals seeking to deepen their knowledge in these disciplines. Prerequisite: No specific prerequisites. The course is designed to accommodate all experience levels. Terms: - Online courses with synchronous sessions. - Course materials and resources available online. - Regular assessments to measure understanding and progress.

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I am a graduate in data science with R programming skills. I am able to help the students with assignments, and analysis with their master thesis. My approach is very student-oriented and I explain the subjects in a detailed way so that the students understand the main idea.

As an experienced computer trainer, I offer personalized courses in the field of computer science in general, as well as in algorithms and programming. My goal is to help students progress without overburdening them. After each lesson, homework will be assigned and progress reports will be provided periodically. This course is intended for beginners as well as intermediate level students. The objective is to learn how to program functions and to develop professional thinking in this area.

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.

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This Python course teaches you the basics of programming in Python, including variables, data types, operators, control structures (if, for, while), functions, and lists. You will also learn how to manipulate data with libraries such as Pandas and NumPy, create graphs and visualizations with Matplotlib and Seaborn, and even develop simple web applications with Flask or Django.

I am currently working as an online teacher 🧑‍🏫 and course content developer in Python, SQL 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/SQL experience? ✔️ Understanding the basic concepts (variables & types) --> Python/SQL ✔️ Math & Statistics (explained easily) --> Python ✔️ Data Manipulation (tables, dataframes, joins,...) --> Python/SQL What topics do I cover for people with Python/SQL experience? ✅ Classic libraries: Pandas, Numpy, Scikit-learn, Tensorflow, Pytorch ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, Computer Vision, Generative AI, Time Series, Neural Networks, Ensemble Methods ✅ MLOps: MLflow, Prefect, Mage, 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!😉

The course module is adapted to the student. You will earn: ▪️ An integrated digital marketing strategy based on your own organizational context. ▪️ Skills to effectively analyze and leverage data to make breakthrough data-driven decisions. ▪️ A future perspective on marketing and an overview of how to use emerging digital channels and technologies, such as artificial intelligence (AI) and chatbots, within your organization. ▪️ Accept the challenges and opportunities of disruptive technology in your digital marketing strategy.

The course will cover the following points: - Office automation (Word, Excel) - Network administration - CCNA Training (This program provides the foundation for IT professionals who are familiar with the Cisco networks and operating systems) - Teaching network courses (LAN, MAN, WAN, TCP/IP protocols) - Practical work (Packet tracer) - Some notions on computer security