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-Best Ever Computer (ICT) Class -Best Ever Proper Guidance -Best Ever Best Results Edexcel/Cambridge/IB/any other school syllabus (curriculum) (O/L)/(AL)/Any other grade(year) -Online Classes Weekdays (2 pm - 10 pm) Weekends (6 am - 10 pm)

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This course provides a hands-on approach to mastering Apache Airflow, a powerful open-source workflow automation tool widely used in ETL (Extract, Transform, Load) processes. You will learn how to build, schedule, monitor, and optimize data pipelines, ensuring data reliability and efficiency in production environments. Through real-world examples and projects, you will gain the skills required to become a proficient Data Engineer capable of handling complex workflows in modern data ecosystems. This course will allow you to build multiple real-world ETL workflows using Apache Airflow. Let me know if you would like additional information! 🚀

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This course offers a complete immersion into the world of artificial intelligence, exploring the mathematical foundations through to their concrete implementation in Python. You'll discover the key principles of AI, from machine learning algorithms to statistical modeling, with a focus on modern techniques used in the field. In addition, we'll cover advanced language models, such as ChatGPT and other LLMs, to understand how they work and how to integrate them into your own projects. This course is ideal for those looking to gain practical AI skills, from theory to practice.

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I teach Python programming to students of all levels, tailoring the curriculum to meet each student's unique needs and interests. By incorporating engaging projects, I make the learning experience enjoyable and practical. In addition to teaching Python to GCSE and college students, I also provide support for beginners and young learners.

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In today’s world, the ability to code continues to grow in importance. Coding is no longer the sole domain of computer scientists and programmers, but rather a useful skill to have in any career. Students with an eye to their future know that learning to code is important, but figuring out which one to learn can be an intimidating task. Some languages are easier to learn, while others have a wider application. But one language sits right in the sweet spot. With a balance of being both easy to learn and widely used in the real world, we suggest learning Python. =>Python Introduction Introduction to Python Interpreter and program execution, Using Comments, Literals, Constants, =>Python’s Built-in Data types, Numbers (Integers, Floats, Complex Numbers, Real, Sets), Strings (Slicing, Indexing, Concatenation, other operations on Strings), Accepting input from Console, printing statements, Simple ‘Python’ programs. =>Operators, Expressions, and Python Statements Assignment statement, expressions, Arithmetic, Relational, Logical, Bitwise operators and their precedence, Conditional statements: if, if-else, if-elif-else; simple programs, Notion of iterative computation and control flow –range function, While Statement, For loop, break statement, Continue Statement, Pass statement, else, assert. => Sequence Data Types Lists, tuples, sets, and dictionary, (Slicing, Indexing, Concatenation, other operations on Sequence data type), the concept of mutability, =>Functions Top-down approach of problem-solving, Modular programming and functions, Function parameters, Local variables, the Return statement, DocStrings, global statement, Default argument values, keyword arguments, var args parameters. Library functions => Object-Oriented Programming Classes, Objects, methods, Inheritance, Encapsulation => Final Project- A GUI Game Application in Python

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Approach based on putting into practice with TPs, while explaining the fundamental concepts and the specificities of the algorithms used. Sharing the methodology around a data project to apply your skills in a professional environment. Setting up Tps is forming competitions on the platforms kaggle, zindi, trustii... Examples of topics covered: - Supervised and unsupervised machine learning. - Classification, regression, dimension reduction, clustering. - Time series, Computer Vision, NLP.

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🐍 Python Course – Learn to code and create your projects! This course is for anyone who wants to: ✅ Learn Python from the beginning ✅ Strengthen their programming skills 📚 On the program: Variables Loops Functions Data structures Practical projects for implementation 💡 How does the course work? Clear explanations to understand the programming logic Targeted exercises adapted to your level Concrete projects to create your own applications 🎯 My goal: Helping you understand the logic behind the code Progress at your own pace Create your own projects in Python and gain independence

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💻 Introduction to Python and Algorithmic Programming Full title: Python programming and introduction to algorithms for beginners and high school students (high school & university level) (100% distance learning — for high school students, college students, beginners or adults retraining) Programming is an essential skill today, whether for studies, personal projects, or the professional world. But when you're just starting out, it's easy to feel lost when faced with seemingly complex lines of code or computer logic. That's where I come in! With a progressive, caring, and structured approach, I help students get to grips with Python—one of the most accessible and powerful languages—while discovering the basics of algorithms in a simple and concrete way. My goal is to transform the apprehension of coding into curiosity and joy of learning, and to lay solid foundations so that each student progresses with confidence. 🎯 Course objectives Learn the fundamentals of Python programming from scratch. Develop logical and algorithmic reflexes. Understand and build simple but useful programs. Inspire a taste for programming through accessible and concrete projects. 📚 Course content ✔ Python Basics – Syntax, indentation, comments – Variables, data types (numbers, strings, lists...) – Conditions (if, elif, else) – Loops (for, while) – Simple functions – Notions of modules and libraries ✔ Algorithms for beginners – Understand what an algorithm is – Writing in pseudo-code and Python – Sorting algorithms (bubble sort, insertion sort, etc.) – Searching for items in a list – Getting Started with Recursion – Simple optimization and complexity ✔ First practical projects – Creation of mini-games (e.g.: guess the number, rock-paper-scissors) – Simple calculator or unit converter – Automation of basic tasks (for example: automatic sorting of a list of students) – Small personalized projects based on the student’s interests 🧭 How the sessions work 1️⃣ Assessment of level and objectives (complete initiation, reinforcement, preparation for a competition or a project). 2️⃣ Tailor-made progression plan, with concepts covered step by step. 3️⃣ Alternating theory/practice to quickly develop autonomy. 4️⃣ Exercises, mini-challenges and projects to apply each concept learned. 5️⃣ Corrections and detailed explanations for each difficulty encountered. 6️⃣ Personalized monitoring, with regular assessments and continuous adaptation of the pace. 🌍 100% online courses – modern and adapted teaching methods Sessions via Zoom, Google Meet, or any other tool of your choice Interactive materials provided after each session: annotated codes, PDF files, exercises, tutorials Flexible hours, compatible with busy schedules and time differences (ideal for students living in the Gulf countries or elsewhere) Possibility of individual or small group lessons (siblings, classmates, etc.) 👨‍🎓 For whom? High school students or students in a technology/science stream wishing to prepare for higher education Students at the beginning of a computer science or science course Adults in professional retraining, curious to learn to code Complete beginners wishing to develop their digital skills With me, you'll learn to think like a programmer, not just copy code. You'll gain logic, rigor, and autonomy—valuable assets for the future. If you have any questions or would like to discuss the most suitable path, please do not hesitate to contact me. I am here to guide you with enthusiasm and kindness.

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Hello! My name is Ethan, and I am a tutor with a passion for finance and mathematics. I have a solid educational background, having studied both finance and mathematics extensively. Through my studies, I have developed a strong foundation in mathematics and I am excited to share my knowledge and help others excel in their learning journey. As a tutor, my goal is to create a supportive and engaging environment where students can thrive. I strive to understand each student's unique learning style and adapt my teaching methods accordingly. I believe in the power of active learning, encouraging students to ask questions, participate in discussions, and tackle problems collaboratively. Together, we can unlock your full potential and achieve academic success in mathematics. Whether you need help with understanding complex mathematical concepts or any other maths problem, I am here to guide you every step of the way. Let's embark on this exciting learning journey together!

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Python is a relatively easy programming language to learn and accessible to all, it allows learning to program in a structured way, with a simple syntax. I suggest you learn all the basics for a good beginner in Python, from simple variable declaration, to loops and functions for example.

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I can teach Mathematics from High School level up to Master's level (Linear Algebra and Statistics). I can also teach programming in Python. I believe in explaining Mathematics by giving practical examples rather than bookish knowledge. In order to understand Mathematics it is important to understand the underlying concepts and transfer that knowledge to problem solving techniques. I give two types of lesson: - Regular Classes: Classes on regular basis as you move through a course in university or school. - Intense Classes: A longer intense class session spanning several hours in order to prepare for an exam.

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This class is designed to introduce students aged 8–17 to the world of coding using Python in a fun, interactive, and easy-to-understand way. No prior coding experience is required. Students will learn the fundamentals of Python programming, including variables, data types, loops, conditionals, and basic problem-solving techniques. As the course progresses, students will apply their knowledge through hands-on exercises, small projects, and real-life examples to strengthen logical thinking and creativity. Students will be able to write simple Python programs and understand how coding can be used to solve everyday problems.

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Learn to add AI features to your applications using ChatGPT API. Taught by a Full-Stack Engineer who's integrated AI into real client projects. What You'll Learn: ChatGPT API Integration: Add AI chat, content generation, or text analysis to any web app Prompt Engineering: Write effective prompts that give consistent, quality results Production Implementation: Rate limiting, cost management, error handling, security Real-World Deployment: Deploy AI features to AWS with proper monitoring and logging Technologies: OpenAI API (ChatGPT-4) React/Next.js frontend integration Node.js/NestJS backend Secure API key management Cost optimization (don't waste money on API calls) Perfect For: Developers: Add AI to your portfolio (instant differentiation from other candidates) Freelancers: Offer AI integration services Students: Build an AI-powered projects that stands out Entrepreneurs: Add AI features to your product without hiring an AI engineer What We'll Build: AI chatbot for your website (customer support, FAQ assistant) Content generation tool (blog posts, product descriptions, social media) Text analysis features (summarization, sentiment, keyword extraction) Custom AI assistant for your specific use case Real Examples: E-commerce: AI product description generator Real estate: AI property listing writer Marketing: AI social media content creator Education: AI study assistant What's Included: Working code you can deploy immediately Cost management strategies (API calls can get expensive!) Error handling and fallback strategies Production deployment checklist No AI experience needed - just basic JavaScript/React knowledge.

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I can help you with your python project works. With live coding sessions, tips, and tricks you will have a chance to improve your knowledge or complete your coding project/assignments with great insight into the code. I am working with the following libraries in my everyday work AI developer: Numpy Pandas Scipy Scikit-learn Tensorflow / Keras Pytorch OpenCV Tesseract Pillow Tkinter Flask selenium Matplotlib and many more...

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I teach Python classes , both in English, French and Dutch. I am a trained teacher, have been tutoring for several years, and have years of professional experience as Analytics Consultant. My goal is to teach at your level, making you as independent as possible, as quickly as possible. I can help both with solving concrete problems, and learning Python in general. While I have used many different libraries the past few years, I have specialised knowledge regarding data analysis, visualisation and data science (Numpy, Pandas, Scikitlearn, Seaborn, Scikitlearn ...)

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“AI is the future.” You’ve heard it before, but what does it actually mean? Facial recognition, recommendation systems, self-driving cars—it all starts with data, algorithms, and code. The best part? You can learn it too. Whether you're a curious beginner or someone already dabbling with machine learning, I offer hands-on guidance through the AI jungle. Using libraries like Pandas, Scikit-learn, TensorFlow, and OpenCV, I’ve built projects ranging from eye-tracking systems to classification models. I know how to explain complex concepts in simple terms—and help you build real, working prototypes. From your first regression model to deploying your neural network, I’ll be your guide. Whether you want to understand the math behind it or just want results, we’ll move at your pace. available remotely across Europe.

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Support, school and university level: Areas covered: 1. Introduction to Python Programming Language basics, best practices, problem-solving. 2. Data Structures and Algorithms Lists, dictionaries, trees, complexity and performance. 3. Computational Mathematics Linear algebra, probability, numerical optimization. 4. Data Visualization Exploratory analysis and visual communication of results. 5. Machine Learning Supervised and unsupervised models, validation and interpretation. 6. Neural Networks and Deep Learning Theoretical fundamentals and practical implementations. 7. Databases and SQL Modeling, querying, manipulating and analyzing data.

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Hello there, I am a Software Engineer studying master’s degree who has experience in Java, Python, C, Linux, Kubernetes, Docker, Web Development and App Development. I am looking for people who is willing to learn about the aforementioned technologies. Hope to hear from you soon!

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SERVICES I can offer my assistance with Data Analysis, Data Science, Quantitative Methods, Analysis, Statistical Modelling, Forecast, Regression, Coding, Python, Matlab, Excel statistical software and packages such as Stata, R and Database languages such as SQL, Oracle, MySql and other Business-related subjects (with coding and programming if you are interested in it). I understand that there are different kinds of learning methods, so as long as you can find your style and the appropriate method, I believe that you can get twice the result with half the effort. I have been told to be good at breaking down complex statistical and modelling concepts, explaining them in diagrams, and also relating them to their uses in our daily lives. I can help you to understand statistics, econometrics, linear regression, forecast modelling, statistical modelling, quantitative methods, as well as introducing you to the fast-growing field of Data Analysis and Data Science. I can teach how to use Python, Matlab, Stata, R, Sas, R, Excel, SQL, Oracle, MySql and many more. - Statistics - Machine Learning - Deep Learning - Probability - Linear Regression - Statistical Modelling - Analysis - Data Analysis/Science - Modelling - Forecasting model - Time Series Analysis - Quantitative Methods - Python - Matlab - Stata - R - Sas - Excel EXPERIENCE AND EDUCATION - PhD graduate in Finance, with 5 years of research experience and scientific contribution in the field of empirical asset pricing with focus on equity factor models, machine learning for asset pricing, regime switching models, sentiment analysis, and portfolio construction - Freelance tutor and consultant in Finance, Data Science, Python, Statistics, and Econometrics for 3 years with 1500+ hours delivered to 150+ students and customers internationally - Former financial analyst with 4 years of experience in design and realization of prototypes of several financial algorithms of a proprietary software for portfolio management, analysis, and consulting - Experienced in written and oral communication to various audiences, from academic students to financial industry leaders and professionals through reviewing, editing, teaching, consulting, and oral presentations - Former University Teaching Assistant, strong analytical background with extensive classroom and online teaching experience, MSc in Quantitative Finance, Bachelor of Science in Economics and Finance - Excellent material available including slides, videos, tutorials and reading material. Extensive experience in research methods and software including Python, Jupyter notebook, Matlab, Sas, Stata, R, SQl/Oracle and Excel. - I thoroughly enjoy helping others, as my patience and friendly nature makes it easier to be in an educational environment. - I have learnt to adapt to different needs and learning styles according to the student, in order to optimise their success in turning their weaknesses into strengths. - I'm patient, friendly and understanding. I am proficient in research and development and it’s my day to day work. I am a photography enthusiast and an insatiable learner. GREETINGS My goal is also to inspire further study that will lead to an interesting and successful career. If you need further information about myself or my services, please do not hesitate to contact me. Feel free to send me a message and I'd be happy to give you an informal consultation. Thank you for looking at my profile and hope to hear from you soon, Andrea

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This comprehensive program offers a deep dive into the world of computer science and programming, covering two essential areas: algorithms and Python. It is designed for beginners, as well as those looking to strengthen their skills in these areas. Part 1: Fundamentals of Algorithms In this first section, we'll explore the fundamental concepts of algorithms, including data structures, sorting techniques, searching, algorithmic complexity, and more. You will develop the ability to design, analyze and optimize algorithms to solve a variety of problems. Part 2: Programming in Python The second part of the course focuses on programming in Python, a language prized for its simplicity and versatility. You'll learn the basics of Python, including commonly used variables, loops, functions, and libraries. You will put your knowledge into practice by automating tasks, developing web applications, and performing data analysis. This comprehensive course is ideal for those who want to gain a solid foundation in computer science, from theory to practice. Whether you're an absolute beginner or looking to expand your programming skills, this program will help you achieve your goals

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Discover "Professional Computing for Adults", a course specially designed to help you master the essential digital tools in the modern workplace. Whether you are a beginner or want to deepen your knowledge, I guide you through the basics of office automation, mastery of Office, Excel, database management, as well as an introduction to programming languages such as SQL and Python. With more than 7 years of experience as a private tutor and a solid background in computer engineering, I adapt each course to your specific needs to guarantee practical, effective learning that is directly applicable in your professional life.

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I help you master statistical analysis and become self-sufficient with the reference tools: Python, R and SPSS. Whether it is for a course, a thesis or a professional project, we will work practically on the concepts you need: descriptive statistics, hypothesis tests (ANOVA, Chi-2), regressions, etc. My method is simple: 100% personalized support focused on your objectives and your own data. Contact me to discuss your project!

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Python is the most widely used programming language today. For high school students, it is the first approach to the world of computing. I offer python lessons at all levels, based on my multi-year professional experience.

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Want to learn how to tell the computer to solve scientific problems, homeworks, create a basic AI (artificial intelligence), simplify your life by quickly processing thousands of files (text, web, Excel etc.), cook belgian fries, create your own game, prepare for a potential IT career or simply learn a different way of logical thinking ("algorithmic")? Then we are on the same page! This class does not have a predefined goal. You set the goal. Don't know it yet? No problem, I'm here to help. :) We can arrange a lesson, goal-setting, Q&A virtual meeting. The programming language of choice for this class is Python.