Introduction to Python for Quantitative finance and investing

From 78 C$ /h

Python is one of the most powerful programming/scripting tools of our times. However, learning from textbooks or online can become time consuming and inefficient, since we easily lose focus. In this class, we learn by doing. As you learn new techniques and concepts, you will immediately use them to build tools that will help you become a data-driven and informed investor or trader. At the end of the class, you are left with a basic understanding of what python can do, but also with a template code that you can later use to build you own strategies on top.

The class in a nutshell:

(1) How to extract market data with python, such as: OHLC quotes, volume, dividend history, financial history etc.
(2) How to store and handle data efficiently.
(3) How to build and group your own portfolio based on any custom metric (e.g. P/E ratio, Debt/Equity ratio, dividend etc)
(4) How to build future paths of a stock in our portfolio, via Monte Carlo simulations, based on your own beliefs (e.g. optimistic/pessimistic).

Extra information

A laptop with a connection to the internet is required. The rest can be worked out.

Location

Online from Netherlands

About Me

I come from Greece, but I moved in the Netherlands more than five years ago where I studied and obtained my PhD in High Energy Astrophysics. Since then, I have been working as a quantitative analyst for a big bank in the Netherlands. I have ample experience in building algorithms and quantitative tools for trading and investing using python. My main focus is derivative (option) trading and valuation, but that is a long discussion.The environment in my classes is very friendly and not formal at all, and I always welcome a nice conversation about the financial markets, philosophy or life in general.

Education

BSc, Physics ( Aristotle University of Thessaloniki, Greece)
MSc, Computational Physics ( Aristotle University of Thessaloniki, Greece)
PhD, Computational Astrophysics (University of Groningen & University of Southampton)

Experience / Qualifications

Blockchain application developer ( IT ), Groningen, the Netherlands
Quantitative analyst ( IT, Banking) , Utrecht, the Netherlands

Age

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Duration

60 minutes

The class is taught in

English

Greek

Skills

Finance

Investing

Python

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Matías

4.88

(85)

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.

Adam

4.88

(85)

Learn to code with method and logic
Whether it's to succeed in the NSI (Digital Sciences and Technology) specialization in high school, design personal projects, or prepare for higher scientific studies, mastering code relies on solid algorithmic thinking. I help students understand the structure of programming languages and the logic of data.

Subject areas and languages taught:

Algorithms & Logic: Designing data structures and solving problems.

Programming Languages: Python, C/C++, C# and Java.

Data Management: Analysis and SQL queries / databases.

Basic Web Development: HTML & CSS for creating structured pages.

The goal is to take the student from simply writing code to true autonomy in development.

Amin

4.88

(85)

Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

Salah

4.88

(85)

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.

Roger

4.88

(85)

Are you looking to deepen your knowledge of physics or master advanced techniques in Python programming? This course is designed to help you achieve a level of academic and technical excellence, whether you are a high school student, university student or professional looking to develop your skills.

With an interactive and effective teaching approach, you will benefit from personalized support to overcome obstacles, grasp complex concepts and improve your performance. Whether it is to succeed in difficult exams, high-level competitions or to create powerful applications in Python, this course will provide you with all the tools necessary to achieve your goals.

🎯 Why Choose This Course?
Advanced and Expertise Level: In-depth content and effective methodology to master complex topics in physics and programming.
Personalized Courses: Sessions adapted to your needs, your pace and your level.
Interactive Online Learning: Dynamic online courses with screen sharing and audio interaction for enjoyable and engaging learning.
Concrete Projects and Practical Applications: Development of practical projects to implement theoretical concepts.
Intensive Preparation for Exams and Competitions: Rigorous training with complex exercises and exam simulations to guarantee your success.
Flexibility and Comfort: Learn from home, according to your schedule, without having to travel.

🔬 Advanced Physics – From High School to University
This module offers a complete and in-depth program to prepare you for demanding secondary school exams, preparatory classes and scientific university courses:

1. Secondary Physics (High School and Preparatory Classes)
⚙️ Classical Mechanics: Kinematics, dynamics, Newton's laws, energy and work, oscillations.
🌊 Waves and Vibrations: Wave propagation, interference, diffraction, acoustics.
⚡ Electricity and Magnetism: Electric circuits, electrostatics, magnetostatics, electromagnetic induction.
🔦 Optics: Geometric optics (lenses, mirrors), wave optics (interference, diffraction).
🌡️ Thermodynamics: Laws of thermodynamics, thermodynamic cycles, entropy, changes of state.

2. University and Advanced Physics
🔄 Analytical Mechanics: Lagrangian, Hamiltonian, and generalized coordinates.
🌐 Advanced Electromagnetism: Maxwell's equations and the propagation of electromagnetic waves.
🧪 Quantum Physics: The postulates of quantum mechanics, the wave function, and the Schrödinger equation.
☢️ Nuclear and Particle Physics: The structure of the nucleus, radioactivity, and fundamental interactions.
🌌 Special Relativity: Lorentz transformations, time dilation, and length contraction.

3. Intensive Preparation for Exams and Competitions
📘 Scientific methodology: Learn to analyze statements, structure responses and write clearly and precisely.
📝 Application exercises and past papers: Intensive training to master the concepts and pass your exams.
🔎 Solve complex problems with detailed explanations and effective strategies.
⏰ Time management: Practical tips to improve your time management during exams.

🐍 Advanced Python Programming – Focused on Efficiency
This module will teach you how to program efficiently and effectively in Python, with an emphasis on best practices and advanced techniques:

1. Mastering Advanced Concepts in Python
🔠 Advanced Syntax and Best Practices: Deepening of Python concepts.
📦 Object-Oriented Programming (OOP): Abstract classes, interfaces, and design patterns in Python.
🔄 Functional Programming: Using lambda, map, filter, reduce, generators and iterators.
⚡ Asynchronous Programming: Implementing asyncio for fast and responsive applications.
🧪 Unit Testing and Code Quality: Use of pytest, code coverage, and CI/CD.

2. Performance Optimization
🚀 Algorithm Optimization: Analysis of algorithmic complexity and use of efficient data structures.
⚙️ Profiling and Debugging: Performance evaluation with cProfile and code improvement.
🔒 Security and Robustness: Writing secure code and handling exceptions appropriately.
3. Practical Projects and Advanced Applications
🌐 Web Applications: Building high-performance web applications using Flask and FastAPI.
📊 Data Science and Machine Learning: Exploitation of Pandas, NumPy, Scikit-learn and TensorFlow.
🕸️ Advanced Web Scraping: Complex data extraction using BeautifulSoup and Selenium.
🤖 Automation and Efficient Scripts: Automation of tasks and development of efficient scripts.

🧑‍🏫 Methodology and Pedagogical Approach:
Learning by doing: Each theoretical concept is directly implemented through practical exercises.
Interactive Online Teaching: Using audio and screen sharing for seamless communication and dynamic learning.
Personalized monitoring: Regular support to assess your progress and answer all your questions.
Concrete projects: Development of complete projects to apply your programming skills.
Motivation and Confidence: A positive and encouraging approach to build your confidence in your abilities.

🎓 For whom?
This course is intended for:

- High school and preparatory class students who aspire to academic excellence.
- University students in science and computer science wishing to deepen their knowledge.
- Candidates for scientific competitions who are preparing for physics and programming tests.
- Developers looking to improve their advanced Python skills.
- Researchers and engineers who use Python for complex scientific applications.

🔔 Register now! Don't miss the opportunity to master advanced physics while developing skills in optimized and efficient Python. Join our program "🚀 Advanced Courses - 🔬 Physics from High School to University & 🐍 Advanced Python Programming Focused on Efficiency!" and progress at your own pace with confidence and motivation!

Youssef

4.88

(85)

Welcome to this Masterclass in Market Finance!

You are about to dive into the exciting world of financial markets and discover the keys to successfully completing your Final Year Project (PFE) in this dynamic field.

This Masterclass is specifically designed for finance students who want to stand out by proposing a high-quality research project in the field of market finance. You will have the opportunity to master advanced concepts, understand current trends, and discover best practices in financial market analysis.

What you will learn:

The Fundamentals of Financial Markets: Understand the different types of markets (stocks, bonds, commodities, etc.) and the financial instruments used in these markets.

Advanced Data Analysis: Learn how to analyze financial data to identify opportunities and risks in the markets. Use modern tools and techniques to gain insights.

Portfolio Management Strategies: Discover best practices for building and managing an effective portfolio. Study strategies for diversification, asset allocation, and return optimization.

Financial Risk Management: Learn how to assess and manage risks associated with market fluctuations, as well as techniques for protecting your portfolio (hedging, options, etc.).

Designing a solid and innovative final year project: You will be guided through the practical steps of creating your final year project in market finance. We will cover research, data collection, analysis, and presentation of relevant results.

Why join this Masterclass?

Career in Market Finance: If you are considering a career in trading, portfolio management, financial analysis or other areas related to market finance, this Masterclass will provide you with the knowledge and skills you need to succeed.

Practical and theoretical learning: Combine theory and practice to obtain concrete results and skills directly applicable to your final year project.

Exclusive, high-quality content: Modern resources and powerful tools that will help you stand out among your peers.

Join us now and get a head start on your professional journey in market finance!

Hamza

4.88

(85)

Discover the power of Python with an experienced computer trainer!
I'm Hamza, a passionate developer and seasoned mentor with extensive experience teaching programming. My unique teaching approach will help you quickly acquire solid Python skills while discovering its real-world applications in the professional world.
What you will learn:

Python Fundamentals (variables, control structures, functions)
Advanced Object-Oriented Programming
Data Analysis and Visualization with Pandas and Matplotlib
Developing graphical interfaces with PyQt
Practical projects inspired by real business cases

Why choose me?

Over 10 years of experience in training and mentoring
Teaching method adapted to all levels
Hands-on approach based on concrete projects
Contagious passion for code and technological innovation

Whether you're a beginner looking to get started in programming or a professional looking to improve your skills, this course will open up exciting new opportunities in the world of software development and data science.
Join me for a captivating journey into the heart of the most versatile and in-demand programming language on the market!
Book now and take the first step towards mastering Python. Your career as a Python developer starts here!

Baia

4.88

(85)

I teach Python specifically for finance and data applications - the kind used in economics, business analytics, and quantitative programs. This isn't a general "learn to code" course; it's built around real financial data, benchmarking, and the workflows you'll actually use in coursework or early career work.

Topics include:
Python fundamentals through a finance lens (data structures, functions, control flow).
Working with financial data and datasets.
Performance benchmarking and writing efficient code.
Applying concepts from Hilpisch's Python for Finance.

Kevin

4.88

(85)

► EXPERT BUSINESS, ACCOUNTING, FINANCE & ECONOMICS TUTOR FROM SWITZERLAND
► IB, A-LEVEL, IGCSE & INTERNATIONAL SCHOOL SUPPORT

I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined business, finance, economics, mathematics, analytical thinking and problem-solving. This technical and business-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding.

For many years, I have successfully supported students in Business Studies, Accounting, Finance and Economics. As a tutor from Switzerland, I bring a structured, patient and highly individual teaching style to students who want to improve their grades, prepare for important exams and build real confidence in business-related subjects.

My lessons are designed for students who want more than just memorizing definitions and formulas. I focus on understanding business concepts, applying financial logic, interpreting economic relationships and solving accounting problems step by step.

► EXAM PREPARATION & ACADEMIC SUPPORT

► IGCSE BUSINESS, ACCOUNTING & ECONOMICS
I help students build a strong foundation in business concepts, financial calculations and economic thinking. My lessons include clear theory explanations, topic-by-topic revision and exam-style practice to prepare students confidently for their assessments.

► A-LEVEL BUSINESS, ACCOUNTING, ECONOMICS & FINANCE
A-Level subjects require strong analytical thinking, clear written arguments and confident application of theory to real business situations. I support students with structured revision, essay technique, calculation practice, case-study analysis and preparation for demanding exams.

► INTERNATIONAL BACCALAUREATE — IB BUSINESS MANAGEMENT & ECONOMICS
I provide structured support for IB students, focusing on deep understanding, strong terminology, analytical writing and exam technique. Students learn how to explain concepts clearly, analyse case studies, evaluate decisions and structure high-quality answers.

► INTERNATIONAL SCHOOL PROGRAMMES
I support students following international, bilingual and private school curricula in Business Studies, Economics, Accounting, Finance, Commerce and Management. Since every school can have different expectations, I adapt my teaching to the student’s syllabus, textbook, teacher requirements and exam format.

► UNIVERSITY & FOUNDATION COURSES
For older students, I offer support in Accounting, Corporate Finance, Economics, Business Administration, Financial Management, Statistics and quantitative business modules. I help students understand difficult theory, solve assignments, prepare for exams and develop strong analytical skills.

► HOW I TEACH

► I FOCUS ON REAL UNDERSTANDING, NOT MEMORISATION.
I explain business, accounting and economic concepts step by step so students understand the logic behind the theory and can apply it confidently in exams.

► I CONNECT THEORY WITH REAL BUSINESS EXAMPLES.
Business and economics become easier when students can see how concepts work in real life. I use practical examples to make topics clear, relevant and memorable.

► I SIMPLIFY COMPLEX CALCULATIONS.
In Accounting and Finance, I break calculations into clear steps so students understand what is given, which formula is needed and how to reach the final answer correctly.

► I TRAIN EXAM TECHNIQUE CAREFULLY.
Students learn how to structure answers, use key terminology, analyse case studies, justify decisions and manage time under exam conditions.

► I ADAPT EVERY LESSON TO THE STUDENT.
Every student learns differently, so I adjust my explanations, pace, examples and practice questions to match the student’s exact level and goals.

► YEARS OF EXPERIENCE WITH IB, A-LEVEL, IGCSE & INTERNATIONAL SCHOOL STUDENTS

Over the years, I have successfully supported students from prestigious schools and demanding academic programmes, helping them strengthen their understanding, master exam techniques and achieve excellent progress in Business Studies, Accounting, Finance and Economics.

► ONLINE LESSONS

► Interactive whiteboard
► Clear digital notes
► Personalised exercises
► Exam-style practice
► Flexible lesson structure
► Focused one-to-one support from Switzerland

Online lessons are structured, personal and highly effective. Students can ask questions directly, follow every step in real time and review the materials after the lesson.

► MY GOAL

My goal is not only to improve grades, but to help students become confident, independent and analytical thinkers. With the right guidance, Business, Accounting, Finance and Economics become logical, practical and much easier to master.

► SUBJECTS: Business Studies, Accounting, Finance, Economics, Business Administration, Management
► LEVELS: IGCSE, A-Level, IB, International School, Foundation Courses, University Modules
► FORMAT: Online tutoring from Switzerland
► FOCUS: Deep understanding, exam confidence, analytical thinking and long-term academic success.

Ammar

4.88

(85)

A- TOPICS YOU CAN EXPLORE AND MASTER:
1- PYTHON FOUNDATIONS
• Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming
• Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code
• Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management

2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS
• Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design
• Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use
• Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies
• Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges

3- DATA PREPARATION AND EXPLORATION
• NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data
• Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation
• Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation

4- MATHEMATICAL FOUNDATIONS
• Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics
• Loss functions, gradients, distance measures, regularization, likelihood, and model complexity
• Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms

5- SUPERVISED MACHINE LEARNING
• Linear and polynomial regression, logistic regression, and regularized models
• k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers
• Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results

6- UNSUPERVISED LEARNING
• Clustering using k-means, hierarchical clustering, and density-based methods
• Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery
• Method selection, evaluation of data structure, and interpretation of results without predefined labels

7- MODEL EVALUATION AND IMPROVEMENT
• Training, validation, and test sets; cross-validation; hyperparameter optimization
• Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2
• Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization

8- DEEP LEARNING
• Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent
• Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations
• TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment

9- ARTIFICIAL INTELLIGENCE APPLICATIONS
• Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models
• Computer vision, image classification, fundamental principles of object detection, and image preprocessing
• Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications

10- GENERATIVE AI AND LARGE LANGUAGE MODELS
• Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation
• Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant
• Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation

11- TOOLS AND LIBRARIES
• Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch
• Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project
• Additional libraries may be introduced depending on the selected specialization and dataset

12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION
• Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results
• University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications
• Code review, debugging, documentation, reproducibility, model comparison, and communication of results

-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
B- PERSONALIZED TUTORING: LEARNING HOW TO REASON
Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected.

My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly.

Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan.

The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach.

A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps.

You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level.

My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

Kian

4.88

(85)

I provide individual tutoring in Accounting, Finance, Economics and related quantitative business subjects for students at school, vocational, Fachhochschule and university level.

My academic background is in Business Information Systems at a Swiss University of Applied Sciences. This combines business, economics, mathematics, statistics, finance, data and analytical problem-solving.

I have several years of teaching experience and have supported students preparing for school examinations, vocational qualifications, Fachhochschule modules and university exams.

Accounting topics can include:

- Financial Accounting
- Bookkeeping
- Debit and credit
- Journal entries
- Balance sheet
- Income statement
- Opening and closing entries
- Accruals
- Depreciation
- Inventory
- VAT
- Swiss accounting exercises
- Cost Accounting
- Management Accounting
- BAB
- Cost allocation
- Contribution Margin
- Break-even analysis
- Cash Flow Statement
- Financial ratios

Finance topics can include:

- Simple interest
- Compound interest
- Present value
- Future value
- Annuities
- Financial Mathematics
- Investment calculations
- NPV
- Investment appraisal
- Bonds
- Shares
- Risk and return
- CAPM
- WACC
- Corporate Finance
- Financial ratios
- Quantitative finance exercises

Economics topics can include:

- Microeconomics
- Supply and demand
- Elasticity
- Market equilibrium
- Consumer theory
- Producer theory
- Costs
- Revenue
- Profit
- Market structures
- Perfect competition
- Monopoly
- Macroeconomic fundamentals
- Business Economics
- Quantitative Economics

Related quantitative subjects can include:

- Business Statistics
- Probability
- Quantitative Methods
- Regression
- Data interpretation
- Financial calculations
- Applied Mathematics for business students

My teaching approach is based on understanding the logic behind each calculation.

For quantitative questions, we normally use a clear structure:

- What is given?
- What needs to be found?
- Which formula or accounting principle applies?
- Why does it apply?
- How is the result calculated?
- What does the final number actually mean?

This is particularly useful in Accounting and Finance.

Students sometimes learn one example mechanically and then become confused when the wording or numbers change in an examination. I therefore use different question styles so that students learn to recognise the underlying principle.

Lessons can be used for:

- Regular semester support
- Homework and exercises
- Closing knowledge gaps
- Exam preparation
- Intensive revision
- FH examinations
- University examinations
- Repeating previously failed modules
- Improving calculation speed and accuracy

I explain concepts in a structured and practical way and adapt the level of detail to the individual student.

The aim is to make Accounting, Finance and Economics feel logical, organised and manageable rather than like complicated collections of formulas and rules.

Azhar

4.88

(85)

Are you interested in learning Python but don't know where to start? This course is designed to help you understand the fundamentals of Python programming in a simple, practical, and enjoyable way.

Python is one of the most popular programming languages in the world. It is widely used in software development, automation, data analysis, artificial intelligence, and web development.

Whether you are a complete beginner, a student, or someone looking to develop new technical skills, these lessons will help you build a strong foundation in programming.

You will learn
1. Introduction to Python
2. Python Fundamentals
3. Conditional Statements and Loops
4. Working with Data
5. Functions and Practical Programming
6. Mini Projects

Khalil

4.88

(85)

Learn Python by building something you’ll actually use

Ever wanted to code but had no idea where to begin? You’re in the right place. In these relaxed, one-on-one lessons, you’ll go from zero to writing real programs, with no experience required.

Together, we’ll choose a project that fits your interests. Maybe it’s a video game you want to build or a quiz to challenge your friends, a chart built from your own spreadsheet, or a script that takes over a boring, repetitive task. Along the way, you’ll pick up the essentials (variables, loops, functions) and learn to read error messages without panic, so you can change your code with confidence.

Where you can go next

AI-assisted coding: Use tools like ChatGPT to brainstorm, decode errors, and improve your code, while learning to test its suggestions and explain how the final result works.
Machine learning: Train a simple model on a real dataset and see how well it predicts.
Your own project: Bring an idea from school, work, or a hobby, and we’ll break it into steps you can build at your own pace.

Your instructor

I’m an engineer with a master’s degree from Nagoya University and research experience in applied AI and computer vision. I explain every concept in plain language, then give you time to try it yourself with live feedback, so you’re never stuck alone.

Ready to start?

Send me a quick message and let's do your first coding project together.

Hugo

4.88

(85)

Is your code not doing what you want it to? Are you learning Python but just copying and pasting without really understanding?

Loops, functions, algorithms, data structures... Behind these intimidating concepts lie simple, visual ideas. My goal: to help you understand them, not just apply them.

These tools may seem difficult at first, but they make perfect sense once you visualize them in practice: seeing a loop run, a variable change, a list fill up. That’s the level I’d like to help you reach, using diagrams, analogies, and programs we’ll build together, line by line.

I offer computer science lessons (Python and other languages), from middle school through college, to help you:
- overcome obstacles and regain confidence,
- prepare for your exams (Brevet, Baccalaureate, midterms, entrance exams, NSI),
- make progress on your projects: lab assignments, scripts, games, digital projects...

Each lesson is tailored to your needs: we’ll go over the tricky parts, code together, and I’ll teach you methods to become self-sufficient.

Message me to schedule your first lesson: let’s make the abstract clear!

High School/Middle School:
- Private lessons: 25 €/h
- Group lessons: 40 €/h

College/University:
- Private lessons: 35 €/h
- Group lessons: 50 €/h

George

4.88

(85)

**Learn Programming, Python, Artificial Intelligence & Data Analysis with Practical Projects!**

Are you looking to learn programming from scratch, improve your coding skills, or prepare for a future career in technology?

I'm George Zakary, a Computer and Data Science graduate from Alexandria University and a programming instructor with hands-on teaching experience in Python, Data Analysis, Cybersecurity, and Backend Development.

I offer personalized, interactive online lessons for students across Saudi Arabia, the UAE, Kuwait, Qatar, and other Gulf countries.

**What can you learn with me?**

- **Python Programming:** From basic concepts to functions, loops, data structures, and Object-Oriented Programming (OOP).
- **Artificial Intelligence:** Introduction to AI, Machine Learning fundamentals, and practical applications.
- **Data Analysis:** Learn to work with data using Python, Pandas, and practical examples.
- **AI Automation:** Explore automation concepts and tools such as n8n.
- **Backend Development:** Build web applications using Python and Flask.
- **Cybersecurity Fundamentals:** Understand essential security concepts and safe computing practices.

**Why choose my lessons?**

My teaching approach focuses on simplifying complex technical concepts through real-world examples, live coding, practical exercises, and hands-on projects.

Every lesson is adapted to your age, experience, learning pace, and personal goals.

Whether you are a complete beginner, a school or university student, or a professional looking to develop new technical skills, I will help you learn step by step.

**Lessons are available in Arabic or English, with clear explanations tailored to Arabic-speaking students.**

**للطلاب في السعودية والإمارات والكويت وقطر وجميع دول الخليج:**

أقدم دروس برمجة أونلاين باللغة العربية بأسلوب بسيط وعملي، سواء كنت مبتدئًا تمامًا أو ترغب في تطوير مستواك.

سنتعلم خطوة بخطوة من خلال التطبيق العملي والمشاريع الحقيقية، مع خطة تعليمية تناسب مستواك وهدفك.

**Start your programming journey today!**