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Since January 2023
Instructor since January 2023
C# & Unity Programming Teacher (C, C++, Java, Javascript, Python, R, Php, Assembly, Mysql, MongoDB, HTML, CSS, and more...)
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From 40 £ /h
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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
location type icon
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
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Introduction to modules and libraries 🏛️
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API and Web – Connecting Python to the web 🌐
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Creating simple games 🎮
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Chapter 1: Introduction to Advanced Analysis and Data Mining
1-1 What is data mining, its procedures and tools
1-2 What type of data is mined?
1-3 What are databases?
1-4 Relational Database
1-5 Query Language
1-6 Benefits of Database Mining
1-7 months data mining applications
A - Business Intelligence (Business Intelligence)
B - Internet search engines

Chapter Two: Data Recognition
2-1 Data Types, Characteristics, and Features
2-2 Statistical Description of Data
2-3 Visualization of Data
2-4 Measuring data similarity and difference
Chapter Three: Preparing Data for Analysis and Mining
3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms
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arrow icon previousarrow icon next
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Do you want to learn to program, prepare for an exam, or develop your computer skills?

I offer courses tailored to your level, from beginner to advanced, with a progressive approach based on problem-solving and good development practices.

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- Algorithms and programming logic
- Sequential programming
- Object-oriented programming (OOP)
- Data structures and algorithms
- Debugging and best development practices
- Preparation for exams, final projects and school projects

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- Python
- VS#
- Java
-JavaScript
- C / C ++
- SQL (databases)

The courses can be geared towards theory, practical exercises, homework help, exam preparation or support on a personal project.

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verified badge
• 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.
verified badge
This course is intended for engineering students (ENSA, ENSAM, or others) and students of science faculties (S4) and all those who want to master a programming language. This course covers all fundamental and advanced aspects of algorithms and programming languages. I guide you in learning and mastering the following languages: C, C++, Java, Python, Prolog, Scheme, Lisp, and others.
verified badge
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🎯 Master the fundamentals – Understand key concepts like variables, loops, functions, and object-oriented programming.
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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 🖥️
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Conditional structures (if-else) and loops (for, while) 🔄
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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.
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✅ 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! 🔥
verified badge
Description:
This course is ideal for beginners or intermediate learners who want to learn programming using languages like C#, Java, or Python. With a step-by-step approach, you'll be guided from basic algorithms to object-oriented programming.

Goals :

Introduction to algorithms and their implementation.
Master the basics of C#, Java, and Python languages.
Understand the concepts of classes, objects, and error management.
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Video lessons: Clear explanations and practical exercises.
Flexibility: Personalized support to meet your expectations.
For who ?
Students or professionals starting out in programming, or preparing for exams.
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verified badge
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verified badge
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You will learn how to break down complex problems into logical steps, turn your ideas into functional code, and view errors (“bugs”) as stimulating challenges rather than obstacles.
verified badge
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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.
verified badge
Welcome to the starting line of how software actually works!
This class is designed for anyone curious about how we get computers to solve problems efficiently. You don’t need to be a math genius or an expert coder yet, this class is all about training your brain to think step-by-step.

What You'll Learn:
Thinking in Steps: How to take a big, messy problem and write clear instructions for a computer to follow.

Organizing Information: Discovering the best ways to store and arrange data.

Classic Strategies: Learning the smart, time-tested tricks programmers use to sort data, search for answers, and tackle tough tasks.

Think of this course as learning the blueprints behind your favorite apps and systems. By the end, you won't just be writing code, you'll understand the clever logic that makes that code run fast and smart.

If there is anything you would like to discuss or learn I am freely to that.
verified badge
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.
verified badge
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.
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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.
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1-2 What type of data is mined?
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2-3 Visualization of Data
2-4 Measuring data similarity and difference
Chapter Three: Preparing Data for Analysis and Mining
3-1 The importance of preparing data for analysis and mining
3-2 Data Cleanup
3-3 Data Integration
3-4 Data Reduction
3-5 Data Transformation and Data Individualization

Chapter Four: Pattern Discovery and Exploration, Dependency and Correlation Rules
4-1 Basic Concepts
4-2 Shopping basket analysis (example)
4-3 Evaluating the dependency and correlation rules being explored
4-4 Mining Multi-Level Dependency and Linkage Rules
4-5 Mining multidimensional dependency and correlation rules
4-6 Rules of nominal and quantitative dependency and correlation
4-7 Exploring and identifying rare and negative patterns
4-8 Exploring and Determining the Rules of Dependency and Conditional Linkage
4-9 Evaluating dependency and correlation rules and distinguishing between useful and unhelpful ones
4-10 Measuring the type and strength of the relationship in dependency and correlation rules
4-11 Applications of pattern mining in practical life

Chapter Five: Analysis and Mining Using Classification and Prediction Algorithms
5-1 Basic Concepts
5-2 Classification using decision tree extrapolation
5-3 Classification using probability theory (hypothetical theory)
5-4 Classification using hypothetical network theory
5-5 Classification using correlation rules extrapolation
5-6 Classification using neural network algorithm
5-7 Classification using the nearest neighbor algorithm
5-8 Multi-category classification algorithms
5-9 Evaluating the efficiency and selection of classification algorithms

Chapter Six: Analysis and Mining Using Cluster Hashing Algorithms
6-1 Basic Concepts
6-2 Clustering by Division
6-3 Hierarchical Clustering
A. Hierarchical clustering
b. Hierarchical fission
6-4 Probability Clustering
6-5 High-Dimensional Clustering
6-6 Clustering of graphs and network data
6-7 Conditional Clustering
6-8 Cluster Segmentation Assessment

Chapter Seven: Analyzing and Mining Outliers and Complex Data Types
7-1 Basic Concepts
7-2 Types of extreme values
7-3 Ways to Explore Extreme Values
7-4 Complex Data Analysis and Mining

Chapter Eight: Planning Data Mining Operations and Their Applications in Society
8-1 Planning Data Mining Operations
8-2 Data Mining in the Community
8-3 Data mining applications in vital areas of society
8-4 Practical Application: Recommendation System Usage Scenario

Appendix 1: Database Fundamentals
Appendix 2: Data Warehouse Fundamentals
Appendix 3: Glossary of Data Mining Terms
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