C# & Unity Programming Teacher (C, C++, Java, Javascript, Python, R, Php, Assembly, Mysql, MongoDB, HTML, CSS, and more...)

From 75 C$ /h

Hi,

I'm an energetic programming mentor with more than 16 years of experience and a personalized mentoring strategy.

Are stuck with your code? Or you don't know how to start your program? Or you are experienced but you need some guidance?

Are you ready to learn C# from zero to hero?

Are you interested in game development? Let's explore your game-making ideas and develop your Unity and C# skills.

If you answer yes to any of the questions above, then let me be your guide and your mentor.

See you soon,
Gabor

Extra information

I don't use a webcam, only audio and screen sharing.

Location

Online from Hungary

About Me

Hi,

Are you stuck with your code and looking for a teacher to help you continue your journey in C# or C++ or one of many other programming languages?
Do you have some game-making ideas? Let's develop your skills in Unity and C#. I'm here to support you with more than 16 years of experience and a personalized mentoring strategy.

Education

Web programmer at Kodolanyi Janos University 2009 - 2011
Computer Science BSc at Eötvös Loránd University 2011 - 2014
I learned about everything, but mostly about algorithms.

Experience / Qualifications

Freelancer Unity / C# Programmer & Tutor 2015 - Now
Head of School, Code mentor, Coach at CodeCool Kft. 2016
Backend developer at Avangrade Ltd. 2015
Full Stack C++ & CI Developer at Danubisoft Ltd. 2014- 2015
Freelancer Full Stack Web Developer & Designer 2007 - 2011

Age

Children (7-12 years old)

Teenagers (13-17 years old)

Adults (18-64 years old)

Seniors (65+ years old)

Student level

Beginner

Intermediate

Advanced

Duration

60 minutes

The class is taught in

English

Hungarian

Skills

C - c++

Algorithms

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Raed

4.6

(5)

A session can take several forms:
- Explanation of the school course and answers to questions
- Applications and exercises
- Make copies of the exams (that the student brings them with him)

My goal is to help the student get used to solving problems on their own.

Lina

4.6

(5)

This class is perfect for anyone taking their first steps into computer programming or early-semester engineering students looking to get familiar with Python and C++.

You’ll learn to think like a programmer, create your own programs, and unlock your creativity. Programming is fun, versatile, and practical, helping you apply concepts to real problems and other areas of study.

Pierre-Jean

4.6

(5)

• I adopt a concrete and interactive approach: you code from the first lesson, with examples close to your needs and mini-projects to anchor what you have learned. Courses in C, C++, Python, Java, interactive Arduino projects, web development, etc.

• I have successfully accompanied students from EPFL, HEC Lausanne, HES-SO (HEIG-VD, HEIA-Fr) of EHL, etc. With a 100% success rate in exams on my student history!

• Each session begins with a simple explanation of key concepts (variables, loops, functions, objects, etc.), immediately followed by practical exercises to help you progress quickly and effectively.

• The objective is twofold: to build solid foundations and make you independent, while targeting your assessments and your concrete objectives.

Imad

4.6

(5)

Master pseudo-code algorithms in this hands-on course with dozens of different algorithms

In this course, you will learn the basics of computer programming through the fundamental subject taught in all higher schools of computer science: algorithms.

This is the initial stage of your learning to become a computer scientist (programming)

First we will see a broad introduction to computer programming, and we will explain what algorithms are.

Then, you will learn the language of computer scientists by studying "pseudo-code", and you will learn all the concepts of computer science through a multitude of practical exercises.

The topics covered are very broad and comprehensive:

Introduction
- Algorithm Syntax
- data type and Variables
- The operators
- The instructions
- Conditions
- The repetitive structure (loops)
- The tables
- Research techniques
- Sorting algorithms

- dichotomous search
- Functions
- The procedures
- Recursion
-complexity
- Introduction to the C language

- ...

Your first programs...

Finally, you will start programming by creating several algorithms in a specific programming language (here, C language).

These algorithms are applicable in all programming languages.

The goal...

With more than 8 hours of e-courses, quizzes, and an assessment, you will have what you need to continue your learning of computer programming and advance towards your future profession.

Who is this course for?
Beginner in programming
Retraining
Computer science students or future students

Thanks and see you soon !

IMAD

Abdelhamid

4.6

(5)

Need to strengthen your IT skills? Whether you are in a Bachelor's degree, a Master's degree, or a student at an engineering school, take advantage of the expertise of a doctor in IT for tailor-made training.
Adapted to your level and your objectives: Whether you are discovering a subject or aiming for excellence, my courses adjust to your needs.
Interactive and practical lessons: Practice directly with relevant exercises and projects.
Deep Learning: From advanced algorithms to system architecture and organization concepts, master the essential basics and go beyond.
With me you will not only learn computer science – you will understand it and apply it successfully.

Join

4.6

(5)

Do you want to learn programming but don't know where to start? Are you a beginner looking for clear explanations, or do you want to improve your coding skills with personalized support?

This private tutoring program is designed to help you master Python, one of the most versatile and easy-to-learn programming languages. Through a step-by-step approach, interactive exercises, and hands-on projects, you'll gain the confidence and skills to write code effectively and solve real-world problems.

💡 Why Choose this Program?
With these personalized courses, you will:
-
🚀 Learn at your own pace – Whether you’re a complete beginner or want to refine your skills, lessons adapt to your level.
🎯 Master the fundamentals – Understand key concepts like variables, loops, functions, and object-oriented programming.
🏗️ Complete hands-on projects – Work on real-world coding exercises, from simple scripts to mini-apps.
🐍 Develop problem-solving skills – Learn how to break down complex tasks and write efficient code.
🎓 Prepare for exams, jobs or personal projects – Whether you are a student, professional or enthusiast, Python is an essential skill.
💻 Get live support – Get real-time feedback, coding tips, and answers to your questions.
This interactive, hands-on learning experience ensures you understand Python while having fun coding!

📚 What Will You Learn?
This program covers everything you need to become comfortable with programming in Python:

✅ Python Basics (Great for Beginners)
Introduction to Python and installation of the development environment 🖥️
Variables, data types and user input 🔢
Operators and expressions 🧮
Conditional structures (if-else) and loops (for, while) 🔄
Writing and calling functions 🏗️
🚀 Intermediate Concepts (To Go Further)
Lists, Tuples, Dictionaries – Understanding Data Structures 📊
File Management – Reading and Writing Files 📄
Exception Handling – Making Your Code More Robust ⚠️
Introduction to modules and libraries 🏛️
🎯 Advanced Concepts (For the More Ambitious)
Object-Oriented Programming (OOP) – Classes, Objects, Inheritance 🏗️
Recursion and algorithm design 🧠
API and Web – Connecting Python to the web 🌐
Introduction to Databases – Storing and Retrieving Data 🗄️
🎨 Practical Projects & Applications
Creating simple games 🎮
Automation of repetitive tasks 🔄
Data analysis with pandas 📊
Web scraping and working with APIs 🌍
Introduction to Artificial Intelligence and Machine Learning 🤖 (optional for advanced learners)
🎯 An Interactive and Fun Learning Experience
Live Online Classes – Learn from home with interactive sessions via screen sharing.
Tailor-made lessons – Content adapts to your level for an effective and personalized learning journey.
Practical exercises and projects – Less theory, more practice! Learn with real-world examples.
Caring and motivating environment – No pressure, no judgment: progress at your own pace.
Practical application – Each concept learned is applied immediately through exercises and mini-projects.
🔔 For Who?
This program is ideal for:
✅ Complete beginners – If you’ve never written a line of code, no worries! The lessons start from scratch.
✅ Students – To prepare for programming courses, computer science exams or competitions.
✅ Self-taught – If you want to add Python to your skillset, this course offers you structured support.
✅ Professionals and people in retraining – Python is a sought-after skill in data science, automation and web development.
✅ Tech Enthusiasts – Curious to learn code? This course makes learning Python both fun and useful.

🚀 Ready to Embark on Your Python Adventure?
Join the "🐍 Personalized Private Lessons – 💻 Learn to Code and Program in Python!"
Gain the skills and confidence to write clean, efficient, and powerful code.

Sign up today and take your first steps into the exciting world of Python programming! 🔥

Amal

4.6

(5)

This mathematics course is aimed at students in lower or upper secondary education who wish to strengthen their basic skills, fill in gaps or effectively prepare for an exam.

We will work together on understanding key concepts (arithmetic, geometry, algebra, functions, etc.) through clear explanations, progressive exercises and a method adapted to the pace of each student.

The goal is to restore confidence, develop logic and reasoning skills, and make mathematics more accessible and concrete.

This course is also suitable for students in scientific, technical or linguistic fields who need regular or occasional support.

Mariem

4.6

(5)

Understanding algorithms is essential for anyone pursuing computer science or programming. In this course, I provide a structured approach to learning algorithms—from fundamental concepts like sorting and searching to advanced techniques such as dynamic programming and graph theory. Whether you're preparing for exams, coding interviews, or aiming to improve your problem-solving skills, this course is designed to build strong algorithmic thinking. Through practical examples and step-by-step explanations, I help students master the logic and techniques needed to write efficient and elegant code.

Amr

4.6

(5)

Private Programming Lessons for you / your family / your company employees
Programming Tutor – IGCSE & Computer Science Subjects
Deeper understanding, stronger results

• Lecturer at the American University AUC
• Over 20 years of experience in training students for government employees, oil companies (BP), food companies (Nestle), banks (CIB), and telecommunications companies (Vodafone).

• Teaching curricula, syllabuses, courses:
o IGCSE (Computer Science 0478, ICT 0417)
o Programming and computer courses for all educational levels (from primary to university)
o Microsoft Windows, Word, Excel, PowerPoint, Outlook, MS-Project
o Programming, C, C++, VB.NET, C#, Python, Database, SQL, MQL, VBA
o HTML, CSS, JavaScript, Angular
o Different database systems
o Data analysis using Excel
o Computer and Information Colleges Curricula
o Using artificial intelligence in life and work

• Master office applications to improve your job performance.
• Prepare yourself to work as a Front-End / Back-End / Full Stack Developer
• Theoretical and practical training for market requirements
• Don't miss out on technology. Lessons are designed for the elderly, in a simple and understandable way (use of computers and their programs, use of mobile phones, dealing with the Internet and social media).
• Lessons are available in person or online.

Thomas

4.6

(5)

I recently graduated with a Master's degree in Mathematics from EPFL, where I also worked as a student assistant for 4 years, notably for the CMS (Special Mathematics Course), the MAN (Upgrade), as well as for several first-year Bachelor's courses. I also served as a corrector for multiple exam sessions and wrote a handout for a course for Master's students in Mathematics at EPFL. Through these experiences, I had the opportunity to support many students in successfully completing their first year, often considered one of the most demanding.

Today, I offer private math lessons for all levels, from compulsory school to the federal maturity, as well as for Bachelor students needing support in subjects with a strong mathematical component.

Passionate about teaching, what I appreciate above all is seeing students' progress, their confidence and their growing understanding. My methodology is based on an intuitive understanding of concepts, through simple and clear examples, as well as structured support in reasoning. I place particular emphasis on solving exercises, because it is through regular practice that we consolidate our knowledge and truly progress in mathematics.

Ali

4.6

(5)

I offer one-to-one Programming tuition in Python, C, and C++, for GCSE Computer Science, A-Level Computing, and university students studying engineering, computer science, or related subjects. Lessons are available online or in person around Birmingham.

What I cover:

Python for beginners and intermediate learners
C and C++ programming
GCSE and A-Level Computer Science (all exam boards)
University coursework support, debugging help, and project guidance
Core concepts: variables, loops, functions, data structures, object-oriented programming, file handling, basic algorithms

How I teach:
I start by understanding exactly where you are — whether that's "I've never coded before" or "I'm stuck on a specific assignment." Then I build lessons around small, practical examples you can actually run and modify yourself. I'm patient with errors (everyone gets them), and I make sure you understand the why behind the code, not just how to copy it. For university students, I can also help with debugging, code reviews, and explaining tricky concepts in plain English.
If you or your child is preparing for exams, working on coursework, or just wants to finally feel comfortable with coding, I'd love to help.

Ammar

4.6

(5)

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- 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

3- 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

4- 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

5- 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

6- 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

7- 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

8- 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

9- 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

10- 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

11- 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.

4.6

(5)

Do you want to learn programming from scratch in an easy and practical way? This course is aimed at beginners and students who want to build a strong foundation in programming and algorithms.

We will learn step by step how to think computationally, design algorithms, and solve problems before writing code, and then we will move on to applying that using different programming languages such as **Python, Java, C, C++ and Bash**.

During the lessons you will learn:

* Programming basics from scratch.
* Basic algorithms and data structures.
Variables, conditions, loops, and functions.
* Object-oriented programming (OOP).
* Write clean and organized code.
* Solving programming exercises and problems.
* Assistance with university assignments and exam preparation.
* Implement small projects to apply what you have learned.

The lessons are hands-on, where you'll write code yourself and learn to think like a programmer, not just memorize commands. The content is tailored to each student's level and goals.

Bessem

4.6

(5)

As a computer science teacher and software engineer, I offer private online tutoring for secondary school students (High School/Baccalaureate) and university students.
My goal is to make computer science simple, intuitive and practical, by combining the rigor of the school curriculum with the reality of the professional software world.
For High School / Baccalaureate: Perfect mastery of algorithms, programming logic (Python, Pascal, Web, etc.), homework review and intensive preparation for Baccalaureate exams.
For Higher Education (Preparatory classes, Bachelor's degrees, Engineering schools): Programming languages (C/C++, Java, Python, JavaScript...), data structures, OOP, databases (SQL) and application development.

Yassine

4.6

(5)

💻 Private lessons in Computer Science & Python

📘 7th year of secondary school
• Introduction to algorithms and programming
• Variables, data types, and basic instructions
• Conditional and repetitive structures
• Exercises adapted to the Tunisian curriculum
• Homework help and test preparation

📗 2nd year of secondary school
• Algorithms and programming
• Conditional structures and loops
• Tables and data processing
• Functions and procedures
• Application exercises and preparation for tests

📕 3rd year of secondary school
• Advanced algorithms and programming
• Data structures and array processing
• Functions, procedures and modularity
• Problem-solving and curriculum exercises
• Preparation for homework and exams

🎓 4th year of secondary school – Baccalaureate in Computer Science / other
• Complete revision of the Tunisian Baccalaureate Computer Science program
• Algorithms and programming
• Data structures and file processing
• Databases and SQL
• Web development according to the program
• Baccalaureate exercises and topics
• Intensive preparation for the Baccalaureate exams

🐍 Python Programming – All Levels
Courses suitable for beginners and students wishing to learn Python:
• Syntax and basics of Python
• Variables, conditions and loops
• Lists, dictionaries, and other data structures
• Functions and structured programming
• Practical exercises
• Gradual learning according to your level

📚 Personalized lessons • Individual support • Tunisian curriculum • Homework help

📩 For more information or to book a session, feel free to contact me.