facebook
favorite button
member since icon
Since September 2026
Instructor since September 2026
Experienced Computer Science Teacher – Online Programming Lessons in Python, MATLAB and SQL in Serbian, Bosnian and Croatian
course price icon
From 38 € /h
arrow icon
I am an experienced computer science teacher with many years of teaching experience and a university degree in Mathematics and Computer Science.

I offer individual online lessons in programming and computer science for school students, as well as support for university students in selected subjects. Lessons can cover Python, MATLAB, SQL and databases, algorithms and programming fundamentals, computer systems, and web development with HTML, CSS and JavaScript.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I explain concepts step by step and focus on understanding the logic behind programming rather than simply memorizing code.

We can work on current school or university topics, programming exercises and assignments, fill gaps in knowledge, prepare for tests and exams, or develop practical programming skills.

Lessons are taught online in Serbian, Bosnian or Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.
Extra information
Please send me the topic, exercises, assignment or exam materials before the lesson whenever possible, so I can prepare in advance and we can use our time efficiently.
Location
location type icon
Online from Germany
About Me
I am a qualified mathematician and an experienced teacher of mathematics and computer science with many years of teaching and individual tutoring experience.

I currently teach computer science in a specialized IT program at a secondary school, and previously taught mathematics for many years. I work with both school and university students, adapting my teaching to their level, learning goals and individual needs.

My teaching style is based on clear and structured explanations, logical thinking and genuine understanding rather than memorizing procedures. I explain concepts step by step and encourage students to become confident and independent in solving problems.

In addition to mathematics and computer science, my previous technical education in building construction gives me a strong background for teaching geometry, descriptive geometry and statics.

I offer online lessons in Serbian, Bosnian and Croatian, which can be particularly helpful for students from families from the former Yugoslavia who live and study abroad.
Education
University of Kragujevac, Faculty of Science – University Diploma in Mathematics (pre-Bologna), Mathematics and Computer Science program.

ITAcademy – Frontend Development, one-year professional program.

Secondary technical education – Building Construction Technician.
Experience / Qualifications
Experienced teacher of mathematics and computer science with many years of teaching experience. Currently teaching computer science in a specialized IT program at a secondary school. Previously taught mathematics and computer science for many years.

Extensive experience in individual tutoring, exam and entrance-exam preparation, as well as working with talented students and preparing students for mathematics competitions.

Teaching experience includes mathematics, Python, MATLAB, databases and SQL, algorithms, computer systems, HTML/CSS, Microsoft Office, geometry, descriptive geometry and statics.
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
Serbian
Croatian
Bosnian
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
I am a qualified mathematician and an experienced teacher with many years of experience teaching mathematics and computer science, as well as extensive experience in individual lessons with school and university students.

I offer individual online lessons in mathematics for students of all school levels and university students. I can also provide support in statistics and physics for school students.

My lessons are adapted to each student's previous knowledge, current curriculum and individual goals. I focus on clear, structured explanations and logical thinking. We can work on current school or university topics, fill gaps in knowledge, solve homework and practice problems, or prepare specifically for tests, exams and entrance examinations.

For university students, I can also cover more advanced mathematical topics. My goal is not simply to solve a problem for the student, but to explain the reasoning and method so that they can understand it and apply it independently.

Lessons are taught online in Serbian, Bosnian or Croatian, making them particularly suitable for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.
Read more
I am a qualified mathematician and an experienced teacher with many years of experience teaching mathematics, as well as extensive experience in individual lessons with school and university students.

I offer individual online lessons in geometry, trigonometry and calculus for school and university students. Lessons can also cover algebra, analytic geometry, derivatives, integrals and differential equations, as well as descriptive geometry and statics for students of technical secondary schools and technical university programs.

Thanks to my previous technical education in building construction, I also have a strong background in technical subjects and spatial geometry. I focus on clear, structured explanations, logical thinking and spatial visualization, adapting each lesson to the student's previous knowledge, curriculum and individual goals.

We can work on current school or university topics, solve exercises and assignments, fill gaps in knowledge, or prepare specifically for tests, exams and entrance examinations.

My goal is not simply to solve a problem for the student, but to explain the reasoning and methods so that they can understand them and apply them independently.

Lessons are taught online in Serbian, Bosnian or Croatian, making them particularly suitable for students from families from the former Yugoslavia who live and study in Germany, Austria, Switzerland or other countries.
Read more
Similar classes
arrow icon previousarrow icon next
verified badge
I am Dr Iyer- a tutor with over 18 years of teaching experience as of 2023 and students from across the globe. I teach one-on-one online (over Skype/ Google Hangout and other media) using a pen tablet and the screen-share feature.

I have helped several students in courses like Python Programming, R Programming, Data Science,
Machine learning etc. I can customise the content to domains like business, economics finance and investments as per student requirements.

I have taught students of various age groups - high school (IB/Cambridge/IGCSE/ ICSE,) University (bachelors, masters, doctoral) and working industry professionals.

More than anything, I trust that if I can replace the fear of a subject with love for it, then I would have truly made a difference to the student.
verified badge
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.
verified badge
With 7 years of experience as a developer in a Factory, I now develop Wordpress websites for large groups.

In the training program, you will learn to:

- Install, configure, and deploy WordPress sites
- Develop custom Wordpress themes and plugins
- Use powerful tools like ACF Pro, Gravity Forms, WPML, AIOS Security, WP rocket...
- Create custom post types and tailor-made taxonomies
- Develop pages using the right methods in HTML, CSS, Javascript & PHP
- Administer and manage a site database
- Contribute to the good natural referencing (SEO) of your site
- Use WP-Cli to speed up the maintenance of your sites
- Use Docker to containerize your local/prod projects and facilitate their management
- Administer your WP sites the right way
- And much more...

For any questions, you can contact me by PM.

See you soon,
Matthew
verified badge
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.
verified badge
Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.
verified badge
🧑‍💻 WordPress Course – Beginner Level

This course is designed for anyone who wants to create and manage a website with WordPress, without prior technical knowledge.

You will learn step by step how to install WordPress, understand its interface, create pages and articles, customize the design of your site and add essential features using themes and extensions.

At the end of the training, you will be able to:

Create a showcase website or a professional blog

Manage content (text, images, menus)

Customize the site's appearance

Install and configure useful extensions

Understanding the basics of security and backups

🎯 Objective: to become self-sufficient in creating and managing a WordPress site.

👥 Target audience: beginners, entrepreneurs, freelancers, students, associations.
verified badge
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.
verified badge
I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English.

I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work.

Who this is for

Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos.

I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it.

What we cover

Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation.

How lessons work

Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic.

In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions.

Practical details

Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe.

Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.
verified badge
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.
verified badge
I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
verified badge
Learn Python with a structured, hands-on approach! Whether you are a absolute beginner looking to start coding, a student needing help with coursework, or a professional aiming to automate tasks, these lessons are tailored for you.What we will cover:
Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals.

Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.
verified badge
Are you looking to master AI tools, prompt engineering, and modern programming? Whether you are an absolute beginner, a university student, a developer looking to work smarter with AI, or someone considering a career change, I can help you build practical skills through interactive, live 1-on-1 sessions.

What we can learn together:

• AI Tools & Workflows: Learn how to effectively use ChatGPT, Claude, Cursor, Lovable, v0, Figma AI, and other modern AI tools to research, create, code, design, and automate tasks.

• Prompt Engineering: Learn how to write better prompts, structure instructions, work with AI models, and build reliable AI-assisted workflows.

• AI-Assisted Programming: Use AI coding tools to understand, build, debug, and improve real applications while still learning the underlying programming concepts.

• Programming: JavaScript / TypeScript fundamentals and practical development, from variables and functions to building real projects.

• Web Development: Build websites and applications while learning how AI can accelerate the development process.

• Academic Support: Help with computer science concepts, programming assignments, projects, and exam preparation.

Why choose my classes?

• 100% Practical: Learn by building real projects and solving real problems.

• AI-First Approach: Learn how to use today's AI tools effectively rather than simply learning theory.

• Beginner-Friendly: No previous AI or programming experience required.

• Flexible & Personalized: Lessons and pace adapted to your goals and current level.

• Multilingual Support: English, Arabic, French, or Darija depending on your preference.
verified badge
My method is based primarily on practice, because I believe that it is by writing code and trying to solve problems that one truly progresses in programming.
Each lesson begins with an explanation of the new concepts we will cover. I then provide exercises tailored to the student's level, which we work through together gradually. The goal is not simply to give the answer, but to understand the reasoning that leads to the solution.
I adapt to each student's pace and difficulties: if a concept isn't understood, we take the time to review it with simple examples before returning to practice. Conversely, if the basics are mastered, we can move on to more complex exercises.
A typical lesson therefore usually takes place in three stages: review or discovery of a concept, guided practical exercises, then correction and explanation of errors.
My courses are primarily aimed at beginners and students discovering Python, particularly in high school or the first years of higher education. I can help them understand the basics of the language: variables, conditions, loops, functions, lists, dictionaries, etc.
My goal is for the student to gradually become autonomous when faced with an exercise, rather than simply learning solutions by heart.
verified badge
Vous souhaitez apprendre SQL, mieux comprendre les bases de données ou être accompagné dans vos exercices et projets ?
Enseignant en informatique, j’ai notamment enseigné les bases de données dans l’enseignement supérieur. Je propose un accompagnement progressif et adapté au niveau de chaque apprenant.
Nous pouvons travailler sur la modélisation des données, les bases de données relationnelles, les tables et relations, les clés primaires et étrangères, ainsi que les requêtes SQL : SELECT, WHERE, JOIN, GROUP BY, sous-requêtes et autres notions selon votre niveau.
Les séances privilégient la pratique : explication des concepts, exemples concrets, exercices puis résolution de problèmes.
Le cours peut également servir d’accompagnement pour comprendre un cours, préparer une évaluation ou progresser sur un projet personnel ou académique.
verified badge
Create your website with confidence and efficiency

Do you dream of creating your own website, but don't know where to start? Together, we'll turn your project into reality, step by step. Whether you're a beginner or already have some experience, I'll guide you to accelerate your learning with AI (if you wish).
Each session is a concrete step forward: we first define your objective, then we build your website together, from hosting to going live. My goal? To empower you to manage and create other websites on your own.
Courses are online and available in French, English, or Portuguese. Book now and start building your digital future!

With several years of experience in web design, I can help you bring your project to life, whether it's a showcase website or an online store. I've worked in São Paulo and as a freelancer, I'm proficient in WordPress and HTML/CSS, and I continue to develop websites for my personal projects.
My expertise doesn't stop there. I also invite you to discover the latest innovations in website creation using AI coding tools like Claude Code.
Together, we will build a website that meets your specific needs, with a tailored methodology and complete customization.

Don't wait any longer to bring your web project to life. Book your course now and let's turn your ideas into reality!
message icon
Contact Ivana
repeat students icon
1st lesson is backed
by our
Good-fit Instructor Guarantee
Similar classes
arrow icon previousarrow icon next
verified badge
I am Dr Iyer- a tutor with over 18 years of teaching experience as of 2023 and students from across the globe. I teach one-on-one online (over Skype/ Google Hangout and other media) using a pen tablet and the screen-share feature.

I have helped several students in courses like Python Programming, R Programming, Data Science,
Machine learning etc. I can customise the content to domains like business, economics finance and investments as per student requirements.

I have taught students of various age groups - high school (IB/Cambridge/IGCSE/ ICSE,) University (bachelors, masters, doctoral) and working industry professionals.

More than anything, I trust that if I can replace the fear of a subject with love for it, then I would have truly made a difference to the student.
verified badge
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.
verified badge
With 7 years of experience as a developer in a Factory, I now develop Wordpress websites for large groups.

In the training program, you will learn to:

- Install, configure, and deploy WordPress sites
- Develop custom Wordpress themes and plugins
- Use powerful tools like ACF Pro, Gravity Forms, WPML, AIOS Security, WP rocket...
- Create custom post types and tailor-made taxonomies
- Develop pages using the right methods in HTML, CSS, Javascript & PHP
- Administer and manage a site database
- Contribute to the good natural referencing (SEO) of your site
- Use WP-Cli to speed up the maintenance of your sites
- Use Docker to containerize your local/prod projects and facilitate their management
- Administer your WP sites the right way
- And much more...

For any questions, you can contact me by PM.

See you soon,
Matthew
verified badge
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.
verified badge
Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.
verified badge
🧑‍💻 WordPress Course – Beginner Level

This course is designed for anyone who wants to create and manage a website with WordPress, without prior technical knowledge.

You will learn step by step how to install WordPress, understand its interface, create pages and articles, customize the design of your site and add essential features using themes and extensions.

At the end of the training, you will be able to:

Create a showcase website or a professional blog

Manage content (text, images, menus)

Customize the site's appearance

Install and configure useful extensions

Understanding the basics of security and backups

🎯 Objective: to become self-sufficient in creating and managing a WordPress site.

👥 Target audience: beginners, entrepreneurs, freelancers, students, associations.
verified badge
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.
verified badge
I teach machine learning, AI and Python online to university students, postgraduates, career changers and serious beginners across the UK and Europe. Lessons are in English.

I hold an MSc in Electronics and Electrical Engineering with Distinction and I teach as a Visiting Lecturer on a Master's level module covering data analytics, machine learning and generative AI at a UK university. I also have two accepted international conference papers on deep learning for image classification. I set and mark postgraduate assignments myself, so I know where marks are won and lost on this kind of work.

Who this is for

Undergraduates and postgraduates on AI, ML, data science or computer science modules at any European university. Final year, Master's and thesis students working on a machine learning project. IB and A Level students moving into computing or engineering. Professionals retraining for data roles. Complete beginners who want to learn Python properly rather than copying it from videos.

I work with students on UK, IB and continental European programmes. I have tutored engineering students in Germany and international school students across several countries, so an unfamiliar syllabus or a module taught in a different structure is not a problem. Send me the material and I will work from it.

What we cover

Python for data science with NumPy, Pandas, Matplotlib and scikit-learn. Deep learning using TensorFlow and Keras. Core theory including regression, classification, clustering, decision trees, random forests, neural networks and CNNs, together with the linear algebra, calculus and statistics underneath them. Computer vision and image classification, which is my published research area. Model evaluation, overfitting and hyperparameter tuning. Writing machine learning work up to academic standard, covering methodology, results and critical evaluation.

How lessons work

Send me your module handbook, assignment brief, thesis spec or the code that will not run, and I plan the session around it before we meet. Nothing generic.

In the lesson I explain the concept with a worked example, then you take the keyboard while I watch and correct, because you learn far more doing it than watching me do it. You finish with annotated notes and a clear next step, and you can message me between sessions with questions.

Practical details

Online over Google Meet or Zoom with screen sharing and a shared whiteboard. Sessions run 60 or 90 minutes. I am based in the UK and teach across GMT and Central European time, with evening and weekend slots that suit students anywhere in Europe.

Tell me your course, your deadline and exactly where you are stuck, and I will come back with a plan for the first session.
verified badge
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.
verified badge
I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples.

Topics include:
pyRevit fundamentals and setup
Automating repetitive Revit tasks (model checks, plan generation, data extraction)
Writing custom scripts for your firm's specific workflows
Applying Python automation to real MEP/BIM projects
verified badge
Learn Python with a structured, hands-on approach! Whether you are a absolute beginner looking to start coding, a student needing help with coursework, or a professional aiming to automate tasks, these lessons are tailored for you.What we will cover:
Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals.

Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.
verified badge
Are you looking to master AI tools, prompt engineering, and modern programming? Whether you are an absolute beginner, a university student, a developer looking to work smarter with AI, or someone considering a career change, I can help you build practical skills through interactive, live 1-on-1 sessions.

What we can learn together:

• AI Tools & Workflows: Learn how to effectively use ChatGPT, Claude, Cursor, Lovable, v0, Figma AI, and other modern AI tools to research, create, code, design, and automate tasks.

• Prompt Engineering: Learn how to write better prompts, structure instructions, work with AI models, and build reliable AI-assisted workflows.

• AI-Assisted Programming: Use AI coding tools to understand, build, debug, and improve real applications while still learning the underlying programming concepts.

• Programming: JavaScript / TypeScript fundamentals and practical development, from variables and functions to building real projects.

• Web Development: Build websites and applications while learning how AI can accelerate the development process.

• Academic Support: Help with computer science concepts, programming assignments, projects, and exam preparation.

Why choose my classes?

• 100% Practical: Learn by building real projects and solving real problems.

• AI-First Approach: Learn how to use today's AI tools effectively rather than simply learning theory.

• Beginner-Friendly: No previous AI or programming experience required.

• Flexible & Personalized: Lessons and pace adapted to your goals and current level.

• Multilingual Support: English, Arabic, French, or Darija depending on your preference.
verified badge
My method is based primarily on practice, because I believe that it is by writing code and trying to solve problems that one truly progresses in programming.
Each lesson begins with an explanation of the new concepts we will cover. I then provide exercises tailored to the student's level, which we work through together gradually. The goal is not simply to give the answer, but to understand the reasoning that leads to the solution.
I adapt to each student's pace and difficulties: if a concept isn't understood, we take the time to review it with simple examples before returning to practice. Conversely, if the basics are mastered, we can move on to more complex exercises.
A typical lesson therefore usually takes place in three stages: review or discovery of a concept, guided practical exercises, then correction and explanation of errors.
My courses are primarily aimed at beginners and students discovering Python, particularly in high school or the first years of higher education. I can help them understand the basics of the language: variables, conditions, loops, functions, lists, dictionaries, etc.
My goal is for the student to gradually become autonomous when faced with an exercise, rather than simply learning solutions by heart.
verified badge
Vous souhaitez apprendre SQL, mieux comprendre les bases de données ou être accompagné dans vos exercices et projets ?
Enseignant en informatique, j’ai notamment enseigné les bases de données dans l’enseignement supérieur. Je propose un accompagnement progressif et adapté au niveau de chaque apprenant.
Nous pouvons travailler sur la modélisation des données, les bases de données relationnelles, les tables et relations, les clés primaires et étrangères, ainsi que les requêtes SQL : SELECT, WHERE, JOIN, GROUP BY, sous-requêtes et autres notions selon votre niveau.
Les séances privilégient la pratique : explication des concepts, exemples concrets, exercices puis résolution de problèmes.
Le cours peut également servir d’accompagnement pour comprendre un cours, préparer une évaluation ou progresser sur un projet personnel ou académique.
verified badge
Create your website with confidence and efficiency

Do you dream of creating your own website, but don't know where to start? Together, we'll turn your project into reality, step by step. Whether you're a beginner or already have some experience, I'll guide you to accelerate your learning with AI (if you wish).
Each session is a concrete step forward: we first define your objective, then we build your website together, from hosting to going live. My goal? To empower you to manage and create other websites on your own.
Courses are online and available in French, English, or Portuguese. Book now and start building your digital future!

With several years of experience in web design, I can help you bring your project to life, whether it's a showcase website or an online store. I've worked in São Paulo and as a freelancer, I'm proficient in WordPress and HTML/CSS, and I continue to develop websites for my personal projects.
My expertise doesn't stop there. I also invite you to discover the latest innovations in website creation using AI coding tools like Claude Code.
Together, we will build a website that meets your specific needs, with a tailored methodology and complete customization.

Don't wait any longer to bring your web project to life. Book your course now and let's turn your ideas into reality!
Good-fit Instructor Guarantee
favorite button
message icon
Contact Ivana