Mastering Scala and Java For Scalable Tech Systems.

You will learn the fundamentals of computer science and computer programming through proven computational thinking steps which are decomposition, pattern recognition, abstraction and Algorithms. Expect very interactive lessons and challenges to stimulate creativity with in You. Thank You.

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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doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

🚀 Learn Python and Django to Build Powerful Applications 🚀 Want to master Python and develop real-world web applications with Django? Whether you're a beginner or looking to enhance your coding skills, this course will guide you step by step! What You’ll Learn: ✅ Python Basics & Advanced Concepts – Learn syntax, data structures, OOP, and algorithms ✅ Django Framework – Build dynamic and scalable web applications ✅ Databases & APIs – Work with PostgreSQL, SQLite, and REST APIs ✅ Project-Based Learning – Apply concepts through hands-on coding and real projects ✅ Debugging & Best Practices – Learn clean coding principles and error handling 🔹 Who is this course for? Complete beginners who want to start coding with Python Developers looking to transition into backend or full-stack development Students and professionals who want to build their own web applications 💻 Class Format: - Live online sessions via Google Meet - Interactive coding exercises & projects - Personalized guidance based on your level 📩 Contact me to start your Python & Django journey today!

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.

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Empower young minds to create their own mobile apps with this fun and interactive course! Designed for children aged 9 to 13, this course introduces app development using MIT App Inventor, a beginner-friendly platform that makes coding easy and exciting. Students will learn the basics of programming, user interface design, and problem-solving as they build their own functional Android apps. Through hands-on projects and creative challenges, they will develop logical thinking and digital skills while bringing their ideas to life. No prior experience is needed—just curiosity and a passion for technology!

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Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Digital electronics Analog electronic electromagnetism (propagation of high frequency waves) Automatic (continuous, sampled) electrical engineering (transformers, electrical machines, switching power supply) C / c ++ programming, Assembler, ARM, STM32 renewable energy (wind, PV) engineering Sciences RDM Python,VHDL PIC Microprocessor and Microcontroller Signal processing and data acquisition Engineering Sciences These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes. COURSE OBJECTIVES AND PEDAGOGICAL APPROACH Resumption and deepening of fundamental concepts through exercises with course reminders. Put the student in a situation of questioning and research. Respond to individual issues and questions Exercise training in order to achieve real mastery of the content. Learn to build theoretical reasoning from observable facts or hypotheses. Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background) This educational approach is effective since it has often led me to interesting results with my students. Associate professor provides support courses in electrical engineering

I am currently working as an independent consultant, technical writer, online teacher 🧑‍🏫 and course content developer in Python, 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 experience? ✔️ Understanding the basic concepts (variables & types) ✔️ Math & Statistics (explained easily) ✔️ Data Manipulation (data cleaning, preprocessing...) What topics do I cover for people with Python experience? ✅ Classic libraries: Pandas, NumPy, Scikit-learn, TensorFlow ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Neural Networks, Ensemble Methods, Clustering, Dimensionality Reduction ✅ MLOps: MLflow, Prefect, 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! 😉

Neural Network is a powerful machine learning tool used for classification & prediction. It works as function approximation from experienced data of inputs and outputs entered to the training process to create the model. The concept of neural network can be thought theoretically by mathematics, but the course will include also a practical coding using Matlab Software.

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Excel in AS-Level Computer Science with a Complete, Exam-Focused Course Set yourself up for success in your AS-Level Computer Science journey with a comprehensive class aligned with the Cambridge International (CIE) 9618 syllabus. From algorithm design to data representation, this course empowers you with the theoretical understanding and practical skills needed to master your exams and thrive in the digital age. What You’ll Learn: 1. Information Representation: Binary systems, data types, and number bases (binary, hexadecimal, denary). Data storage, sound, images, and text encoding. 2. Communication and Internet Technologies: Network concepts: LAN, WAN, protocols, and transmission methods. Internet structure, IP addressing, and security measures. 3. Hardware and Software: Internal computer architecture, logic gates, and Boolean algebra. Types of software, system software vs. application software, and operating systems. 4. Algorithm Design and Problem-Solving: Pseudocode, flowcharts, tracing algorithms, and developing logical solutions. Step-by-step strategies to solve computational problems. 5. Programming: Fundamental programming constructs (variables, loops, selection, arrays). Introduction to object-oriented programming (OOP) and subroutines. 6. Databases and Data Modeling: Relational databases, primary/foreign keys, SQL basics, and normalization.