The Best Computer Class The Best Computer Tutor The Best Computer Class

From 45 € /h

The Best Computer Class - Excellent Results Guaranteed
School Computer Syllabi (UK/US/Canada/Australia/Middle-East)
Computer Programming Lessons (Python/Java/Scratch)
MS-Office Training

Conducted by,
Mr Stephen
M.Sc.(USA), B.Sc.(Hons-1st Class)(UK), iPGCE(UK), M.Ed.(UK), IELTS
Former Teacher of Computer Science & ICT (UK/US/Australia/Canada/Middle-East)
Current British School Teacher of Computer Science & ICT(Morocco)
The Best Computer Teacher Awardee
Student Counsellor
Positive Thinking Practitioner
Life Changer
20+ Years of Successful and Proven Experience
Holistic Student Centered Whole Child Education Practitioner

Location

Online from Morocco

About Me

Former Teacher of Computer Science & ICT (UK/US/Australia/Canada/Middle-East)
Current British School Teacher of Computer Science & ICT(Morocco)
The Best Computer Teacher Awardee
Student Counsellor
Positive Thinking Practitioner
Life Changer
20+ Years of Successful and Proven Experience
Holistic Student Centered Whole Child Education Practitioner

Education

M.Sc.(USA), B.Sc.(Hons-1st Class)(UK), iPGCE(UK), M.Ed.(UK), IELTS
M.Sc.(USA), B.Sc.(Hons-1st Class)(UK), iPGCE(UK), M.Ed.(UK), IELTS
M.Sc.(USA), B.Sc.(Hons-1st Class)(UK), iPGCE(UK), M.Ed.(UK), IELTS

Experience / Qualifications

M.Sc.(USA), B.Sc.(Hons-1st Class)(UK), iPGCE(UK), M.Ed.(UK), IELTS
Former Teacher of Computer Science & ICT (UK/US/Australia/Canada/Middle-East)
Current British School Teacher of Computer Science & ICT(Morocco)
The Best Computer Teacher Awardee
Student Counsellor
Positive Thinking Practitioner
Life Changer
20+ Years of Successful and Proven Experience
Holistic Student Centered Whole Child Education Practitioner

Age

Preschool children (4-6 years old)

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

Skills

Teaching

Learning & study skills

Computer science

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

Gohar

4.64

(53)

As you know, speaking English is essential — especially when you’re abroad and don’t speak the local language. Whether you're starting from the basics or want to improve your fluency, I’m here to help you every step of the way!

I am an experienced French teacher who also teaches English, Armenian, and Russian. In my lessons, I focus on grammar while placing a strong emphasis on speaking and building confidence in real communication.

I’m known for being very patient, kind, and supportive, always creating a positive environment where my students feel comfortable and motivated to learn.

Classes are online .
Let’s start your language journey together — I look forward to meeting you, my lovely students! 🌟

Benoit

4.64

(53)

I am a qualified and experienced mathematics tutor. Graduated from the Free University of Brussels in 2011, I started my career by teaching remedial courses in different schools in Brussels. I then specialized in individual academic support by following educational training at the Harvard Graduate School of Education. I have been giving private mathematics lessons daily for over ten years.

The students who follow my private lessons benefit from personalized support. The first session is devoted to an in-depth assessment of the student's mathematical knowledge. The objective is to detect its weak points and understand their origin in order to adapt my courses to its needs. I develop a tailor-made remediation program for each of my students aimed at filling each of their gaps. Over the course of the sessions, the student builds a solid foundation for learning and regains self-confidence. At the same time, I help him acquire a work methodology that allows him to gradually become autonomous in his studies.

I have a thorough knowledge of the mathematics curriculum for middle and high school (from 6th to 12th grade). I am also qualified to support students in preparing for international exams such as the SAT, the OMPT, and the International Baccalaureate (IB) in all its variations: Analysis and Approaches (AA SL/HL) and Applications and Interpretation (AI SL/HL).

Throughout my years of training, I studied and developed numerous techniques that facilitate learning mathematics. The strength of my teaching approach lies in my ability to explain, in simple terms, anything a student finds complicated. I am passionate about this profession because it offers me the opportunity to guide struggling students toward success. It is a true pleasure to see them progress and rediscover their connection with the fascinating world of mathematics.

I offer private tutoring in Paris (at the student's home) or remotely (online). My online lessons take place on an interactive whiteboard. This whiteboard is specifically designed to facilitate student/teacher interaction online. Thanks to this teaching tool, my online lessons are just as effective as in-person lessons. The student only needs an internet connection and a computer, tablet, or smartphone to participate.

Carlos

4.64

(53)

I'm a Spanish teacher with over 20 years of experience in education, and my goal has always been clear: to help students learn the language in a practical, natural, and meaningful way.

My teaching approach is centered around real-life situations, with a strong focus on speaking and oral expression. I use a modern, engaging, and student-friendly method that encourages communication from day one.

I truly believe that learning a language is not just about memorizing rules—it's about living it, using it, and enjoying the journey.

I’m passionate about guiding each student along their path and providing them with the tools they need to feel confident using Spanish in real contexts.

Robert

4.64

(53)

As a Franco-Belgian management teacher, I give Excel lessons with passion!
Whether remotely or face-to-face, I offer many examples and exercises to accompany you.
I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely.

Here are some key words that will be covered in my classes:
Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking

Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

Khalil

4.64

(53)

Learn Arabic in a practical, engaging way that connects language to real life.
In my classes, you’ll master not only grammar and vocabulary but also how to think and express yourself naturally like a native speaker.

Whether you’re a complete beginner or want to refine your pronunciation and fluency, I’ll guide you step-by-step through:
• 🌟 Everyday conversation and cultural expressions
• 🗣️ Clear pronunciation and speaking confidence
• 📚 Modern Standard Arabic and/or dialect (based on your goal)
• ✍️ Reading, writing, and listening comprehension with personalized materials

Each lesson is tailored to your goals: travel, study, or professional communication and delivered with patience, structure, and encouragement.

Let’s make Arabic not just something you study, but something you live and enjoy.

Amin

4.64

(53)

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.

Abir

4.64

(53)

Hello everyone! 👋
Are you looking to learn French for beginners but unsure where to start? Do you dream of being able to speak French confidently, explore the rich French culture, and express yourself with ease? If so, this beginner French course is designed specifically for you! 🏁
I’m Abir, a passionate language teacher from beautiful Tunisia 🇹🇳. French is my second language, and I’m super excited to guide you on your journey to learning French from scratch! 🎓 Whether you are starting from absolute zero or looking to strengthen your basic skills, these personalized French lessons are the perfect fit.

What You Will Achieve in This Course:
By joining my classes, you will quickly gain the essential skills to understand and speak French fluently. This course opens doors to:
🗣️ Conversational French: Engaging in exciting, everyday conversations.
📚 Core Foundations: Mastering basic French grammar, vocabulary, and pronunciation.
🌍 Cultural Immersion: Opening new doors to cultural experiences and French traditions.
Don’t wait—dive into the wonderful world of the French language and culture with me! 🚀
Ready to start your linguistic adventure? Book your first French lesson today and let’s embark on this exciting journey together! 🎉
Stay safe and keep inspired! ✨

Rina

4.64

(53)

Time to learn Russian in Utrecht! As a qualified teacher in Russian language and literature, I have been providing - successfully - courses in Russian Language for 20 years and inform people about Russian
The language courses are tailor-made, depending on the level of the student.
* Basic course
* Business course
* Dutch for Russian language
* Courses on Dutch literature and culture
* Language on the go
The student can opt for individual lessons or participation in lessons with a group of students. Classes are taught by a qualified teacher in Russian language and literature. The curriculum also includes time for Russian culture

Reza

4.64

(53)

You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities.
The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking.
The topics in our lesson include:
• Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions
• Boolean Algebra: Substitution laws
• Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition.
• Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures;
• Deduction: Valid arguments and proofs; Proofs in predicate logic

If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

Lilia

4.64

(53)

Primary school teacher, I give tutoring lessons for all levels
I am a CE2 class teacher and a FLE (French as a foreign language) teacher in training centers.
I have a certification in FLE and 2 masters and a master in teaching in progress
I use fun and interactive methods
I currently provide personalized tutoring for primary and secondary school students in all subjects.

I offer sessions adapted to the needs and pace of each student

Methodology:
- Initial assessment: For each support I will do a diagnostic assessment to identify the student's strengths and weaknesses in the subject concerned (mathematics, French, science, etc.).
- Personalized approach: The courses are adapted to the student's level, with individualized monitoring. This includes practical exercises, targeted revisions and explanations adapted to each learning pace.
- Progressive objectives: we set short and long term objectives together to motivate the student.
- Learning techniques: I use interactive methods (online exercises, educational games) and revision sheets to help memorize and understand key concepts (flashcards, etc.)

Type of sessions:
- Course of the sessions:
- Review of previous concepts: 10-15 minutes to review the points covered during the last lesson.
- Lesson of the day: 30-45 minutes to present and explain a new concept.
- Practical exercises: 20-30 minutes to apply what has been learned, offering exercises adapted to the student's level.
- Questions and corrections: 10-15 minutes at the end to answer the student's questions and correct mistakes together.
- Regular monitoring: I plan regular assessments to adjust the learning method and adapt the pace of the lessons.

So what are you waiting for? Join me for an unforgettable adventure!

Baia

4.64

(53)

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.

Vincent

4.64

(53)

With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world.

Expertise & Teaching Areas:
✅ Programming & Software Development: Python, Java, C++
✅ Cybersecurity: Ethical hacking, data protection, network security
✅ Digital Literacy: ICT applications, online safety, cloud computing
✅ Data Science & AI: Data analysis, machine learning fundamentals
✅ Web Development: HTML, CSS, JavaScript

Curriculum & Pedagogical Experience:
🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking.
🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development.
🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications.

Professional Impact:
📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams.
📌 Developed interactive lesson plans integrating real-world applications of technology.
📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning.
📌 Guided students in project-based learning, including app development and website design.

With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

Laurianne

4.64

(53)

Does your child need academic support in Sion, either at your home or elsewhere via video call? I am available to help with homework, prepare for assessments, or review the day's lessons. I can also assist students with special needs.
I offer interactive and engaging activities. A teacher by profession, I worked for 15 years in an international school in Lausanne. Patient and caring, passionate about my work, I look forward to providing your child with the support they need.

Raouf

4.64

(53)

Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty.

1: Demystifying AI (What exactly is it?)
AI is not a movie robot: Difference between fiction and reality.

How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image.

Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa).

2: Using AI to make life easier
Conversing with AI (ChatGPT, Claude, Gemini):

Ask him to write an administrative email or a complex letter.

Summarize a long newspaper article or document.

Plan a travel itinerary or find recipe ideas with what's left in the fridge.

AI for creativity and memory:

Generate images to illustrate a birthday card (Midjourney, DALL-E).

Using AI to restore or colorize old family photos.

3: Learning to "talk" to AI (The Art of the Prompt)
The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe".

The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener".

4: Precautions and Critical Thinking (The Survival Guide)
"Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification).

Privacy protection:

Never give sensitive data (social security number, passwords, bank details) to an AI.

Knowing that everything we write to the AI is potentially used to train it.

Spotting "Deepfakes":

How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice).

Verify the information: the golden rule of cross-referencing sources.

5: Ethics and Impacts (To go further)
Copyright: Who owns an image created by AI?

The environmental impact: The water and energy consumption of AI servers.

The future: Will AI replace us or assist us?

Ammar

4.64

(53)

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

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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.