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Apple Mac iPhone iPad iCloud IT Support Online

From 92 $ /h

I have known and used the Mac since 1989 and since 2014 it has become my main activity and I have more than 1600 customers in Switzerland and neighboring France. I give at-home lessons if necessary and online lessons and troubleshooting with the Messages app on your Mac, from Apple ID to Apple ID, in complete security.
If you have problems with your Mac, updates to make or training needs on Mac OS or apps like Contacts, Safari, Mail, system settings and optimizations and security (malware), iCloud, Photos, printers and passwords, etc... do not hesitate to call me.
I have been registered with the Geneva commercial register and with the French-speaking business federation since 2015.

Extra information

have a good internet connection

Location

Online from Switzerland

About Me

70 years old, former information organization advisor and IT project manager in industry, administration and services, in Switzerland, France and Mauritania.
Passionate about Apple since the end of the 80s, mac collector, lover of beautiful objects.

At your service to advise, assist, troubleshoot and make you share my enthusiasm for the products "headed"!

Education

44 years of IT experience
Business analysis
Project management: coaching teams from 2 to 10 people

Business analysis: assistance to project management, definition of needs and search for the most appropriate solutions, implementation and implementation of the chosen solution.

Bank, services, industry, administration
Switzerland, France, Mauritania

Experience / Qualifications

Apple Home Support: Mac, iPhone and iPad

Realization of websites and turnkey blogs for individuals and small professional structures.

showcase sites or personal or commercial presentation
online shop site to sell your products

For even more upscale sites, WordPress, a leader in website creation and blogging tools, offers an infinite number of choices, both in terms of design and content. Customization is even more important, so you have to choose the right tool based on the expected result, budget and level of involvement.

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

30 minutes

45 minutes

60 minutes

The class is taught in

French

English

Skills

Computer basics

Information retrieval (ir)

Computer science

Reviews

Availability of a typical week

(GMT -05:00)

Chicago

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Practical WordPress course at home From Geneva to Montreux to create a website well placed on Google

92 $ /h

So that your future professional website is quickly on the first page of Google, I offer home lessons in two-hour increments. These courses are practical and intended to make you autonomous to then manage your WordPress website. Using Astra, Elementor, and the best WordPress plugins, the course also features a premium Rocket.net host that will make your site extremely fast and easy to manage. Without financial commitment over time, this formula is intended for a public wishing to take charge of their website in complete security.
An all-inclusive formula frees up your time to do other things and gives you a turnkey site that is well positioned on Google.
You have the choice and the experience of almost ten years of WordPress website development!
Trust us, everywhere in French-speaking Switzerland.

Apple 7/7 computer assistance at home Mac, iPhone, iPad everywhere in French-speaking Switzerland

92 $ /h

Support, troubleshooting, custom courses on Apple systems: Mac OS and IOS and all related Apple applications and services: iCloud, Photo, iTunes, Safari, Mail, iBooks, Maps, Contacts, Calendar, Pages, Numbers, Keynote, etc. ...
At home, without travel expenses (minimum hourly 120 min in the canton of GE, + elsewhere depending on distance)
I also handle slowdowns on macs eradication of malware, cleaning, training in mac storage and synchronization systems.

Robert

4.74

(27)

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

4.74

(27)

If you’ve ever felt that science and math are difficult, it’s probably because no one showed you how to think like a problem solver.
In my classes, you’ll learn not just formulas or code but how to truly understand concepts, apply them, and build strong logical intuition.

I teach:
• 🔢 Mathematics: From algebra and calculus to applied problem-solving for real-world use.
• 💻 Computer Science: Coding fundamentals (Python, C++), algorithms, and logical thinking for beginners and intermediate learners.
• ⚛️ Physics: Mechanics, thermodynamics, and practical examples that make abstract ideas simple and visual.

As a Software Engineer and Master’s student in Engineering at Nagoya University, I bring both academic knowledge and hands-on experience from real projects. My teaching approach is interactive, visual, and deeply focused on understanding over memorization.

Let’s turn complex problems into clear, step-by-step insights — and make learning something you genuinely enjoy.

Dimitri

4.74

(27)

Microsoft Excel is very powerful data analysis software. It is a practical solution in the short to medium and long term to automate your calculations, to have a global and detailed overview on your activities, and to analyze your data.

As an accountant, marketer, commercial agent, secretary, merchant, salesperson or company manager, a good mastery of this software will improve your efficiency, your competitiveness, and will save you a lot of time and money. Whatever your field of activity, this software is designed to help you.

During this training you will learn:
- best practices, functionalities and tools;
- functions and their use;
- handling of Dynamic Cross Tables, dynamic graphics,
- the design of dashboards,
- and you will acquire reflexes that will be useful for your entire career.

Duration of training: 1 month
Number of hours: 24 hours

I am expecting many of you because we have a lot to share.

Antonin

4.74

(27)

Need a catch-up, tutoring, private lessons or help with homework in mathematics? In computer science ? In logic?
I'm here for you!
I offer you a personalized approach; because there is no one method that works for everyone, I adapt to the needs and requests of each student (and their parents). The first hour of class will be used to define the student's needs, deadlines and strengths.
My courses are aimed at secondary school students of all levels, higher education students and anyone wishing to refresh or strengthen their knowledge of mathematics and computer science. I have been helping friends and acquaintances on a voluntary basis for a long time in the success of their studies and I hope to be able to put this experience to the benefit of your success :)

Gaëlle

4.74

(27)

While adults are still debating whether kids should use AI, they are already using it.
The question isn't "should they?" it's "how do we do it intelligently?"

In this course, your child will discover:
✓ What AI actually is: not magic, not mystery. How machines think, what they can do, what they can't
✓ How ChatGPT really works: not just "ask a question and get an answer," but why it responds that way, where it fails, when to trust it
✓ What LLMs are (Large Language Models): in language they understand, not tech jargon
✓ Create with AI: custom avatars, interactive stories, real projects using real tools
✓ Think critically about AI: Bias, privacy, creativity. What does AI do better than humans? What can't it do?
✓ Real-world applications: How AI transforms medicine, education, art, gaming, everyday life

Why this is different:
Most AI courses for kids teach "here's the tool, use it." I teach how to think about AI.
Your child will learn to see AI not as black magic or a solution to everything, but as a powerful tool with real limits.
And, more importantly: that they can control how they use it.

What they take home:
Real projects they created (custom avatar, interactive app, analysis of a real AI case study). A genuine understanding of how it works. And the ability to use AI responsibly and creatively.

Format: Online | 60–90 min sessions | Flexible, adapted to their age and pace

For curious kids asking "How does ChatGPT actually know things?"

Reza

4.74

(27)

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! :)

Florian

4.74

(27)

Experienced and patient teacher of logic for computer science.

I have taught logic, formal languages and automata theory to undergraduates for six years. My tutoring is adapted to the student's level and goals. Whether you need to learn logic for your studies, or you would simply like to know more about the subject, I will be more than happy to help you improve your understanding and skills.

Logic
The sciences presuppose a certain standard of rationality. An ability to distinguish between correct reasoning and claims that do not follow from the assumptions. In this class we study the basic principles of logic and apply mathematical techniques to the study thereof.
Topics include:
Propositional and Predicate Logic
Syntax and semantics
Natural deduction
Semantic tableaux
Correctness and soundness
Completeness

Formal languages and automata
A formal language is an abstraction of general characteristics of programming languages. Such a languages consists of a set of symbols together with some rules to determine whether a string made up out of those symbols is a member of the language.

Topics include:
Regular languages, context-free languages
Finite automata, pushdown automata, Turing machines
Regular expressions
Regular grammar, context-sensitive grammar
Pumping lemmas for regular and context-free languages

Azzedine

4.74

(27)

Whether you're involved in finance, management, planning, project management, human resources, or perhaps an ambitious student looking to hone your professional dashboarding skills, you've come to the right place. If you're looking for a solution that goes beyond the limitations of Excel and PowerPoint, then you've come to the right place: allow me to introduce you to Power BI.

With Power BI, I offer you much more than just a tool. It's a gateway to interactive reporting, efficient data management, and advanced analytics. Here's what I can offer you:

- Expert creation and management of interactive reports.
- Careful transformation and cleaning of data for maximum accuracy.
- Use of powerful DAX formulas for advanced data analysis.
- Creation of custom visualizations and impactful dashboards.
- Secure sharing and publishing of your reports for seamless collaboration.
-Automation of repetitive tasks with Power BI & Power Query.

Whatever your specific needs—whether they relate to professional projects, studies, or personal aspirations—I'm here to offer you a tailor-made solution. Together, we'll create a program tailored to your goals, guiding you through every step of your learning journey.

Whether you're a beginner looking to master the basics or an expert looking to deepen your knowledge of data analysis, I'm here to provide the expertise and support you need to succeed.

Baia

4.74

(27)

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.

Dr.Ibrahim

4.74

(27)

This course provides a foundational understanding of Information Technology, data centers, covering architecture, power & cooling, networking, storage, virtualization, security and lots more. Learn best practices for efficiency, scalability, and reliability while exploring emerging data center solutions. Ideal for IT professionals, engineers, and facility managers involved in data center deployment or management.

This course offers a comprehensive exploration of Information Technology, data center infrastructure, guiding students through the entire lifecycle—from initial design and planning to day-to-day operations and long-term performance optimization. Students will learn the critical components of data center design, including site selection, power and cooling systems, space planning, networking, and physical security. The course also covers operational best practices, monitoring tools, energy efficiency strategies, disaster recovery planning, and emerging trends. By integrating technical, environmental, and management perspectives, students will gain the knowledge and skills required to build and maintain high-performance, cost-effective, and sustainable data center environments.

Nicolas

4.74

(27)

I am a dynamic and demanding teacher who gives private lessons in Physics-Chemistry as well as Mathematics.

I graduated from teaching seven years ago, after a masters in physical sciences with honors, and I teach in college and high school since.
I have also been preparing students for the Baccalaureate Science for many years, all of whom have been awarded very good honors.
I also prepare my students for different exams (Matu, Bac, preparation for EPFL, etc...)

I make sure to rework the basics so that the student can progress quickly. It is important to me that my students acquire a solid foundation of knowledge.
I also give effective work methods that will allow him to progress much more quickly and so he can regain self-confidence.

I can travel to the student's home or also conduct the lesson via Zoom/Google Meet.

Martin

4.74

(27)

Working part-time in the watch industry, I have been tutoring for several years in the context of refresher, occasional support or preparation of exams or competitions. Very experienced in relation to the difficulties encountered by students and pedagogue, I adapt to the needs of each to quickly regain the necessary confidence, the methodology of mathematical reasoning and allow a rapid improvement of results.
Experienced and pedagogue, I adapt to the needs of the student to help him consolidate his knowledge methodically, to regain confidence and improve as quickly as possible its results. I teach these courses in a radius of 30 km around Geneva.

Léo

4.74

(27)

• Teaching methodology and techniques: I favour a personalized approach, adapting the courses according to the profile and academic background of each student.
• Typical course structure: tutoring in economics, econometrics, statistics and probability, financial mathematics, trading, investment, or political economy. Courses can take place at home, via videoconference, or at a pre-selected location, ideally quiet, free, and conducive to learning.
• Specifics as a teacher: I offer support throughout the school year, with free corrections of exercises outside of class, regular availability, and the guarantee of being accessible until the end of the year, subject to the general conditions of Superprof.
• Target audience: all levels, regardless of diploma, class or specific characteristics.
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The path and the method are in there; take a little bit of each.

Holding a degree in mathematics from EPFL, I offer private lessons in Geneva or online.

I graduated from EPFL with a degree in mathematics, having completed all the Bachelor's level courses in this discipline. I have gained significant experience tutoring students from middle school to university level (mathematics and physics). I have also assisted with teaching at EPFL, particularly in specialized courses such as analytic geometry (advanced mathematics course), analysis (first and second year Bachelor's level), and linear algebra (first year Bachelor's level). My in-depth mastery of the theory in these disciplines provides me with the skills and teaching abilities necessary to effectively support high school and university students, helping them understand the theoretical concepts in their courses and apply them practically in their exercises.

Typical course: a quick review (adapted to needs) of the essential concepts of the course, followed by practical exercises and oral role-playing (going to the board, discussion on the physical meaning, etc.), as in a competitive oral exam.

All my lessons are prepared in advance based on the topics covered in class (the student specifies their needs from one session to the next). I also create a handout containing sample exercises illustrating different methods, fully corrected and explained by me.

My commitment to my students' success is absolute. I only prioritize motivated students who are ready to put in the necessary effort to progress.

My main focus is on in-depth understanding and the quality of work. Depending on the student's request, I can also suggest exercises to do between sessions (not mandatory, depending on available time and homework already assigned by their school).

Ammar

4.74

(27)

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.

Reza

4.74

(27)

📐 Learn Calculus Without the Confusion — Step by Step!

Does calculus sometimes feel like a collection of complicated formulas that are difficult to remember?

Maybe you've learned the rules for derivatives or integrals, but you're not really sure why they work or when to use them.

Don't worry — you're not alone! 😊

I'm Reza, a Computer Engineer, teacher, and technology enthusiast. I enjoy teaching mathematics and technical subjects by breaking difficult ideas into smaller, easier-to-understand pieces.

My goal isn't to make you memorize a lot of formulas. I want you to understand calculus and become confident solving problems on your own.

📚 What can we learn together?

Depending on your level, course, and goals, we can work on topics such as:

Functions and graphs
Limits and continuity
Derivatives and differentiation
Rules of differentiation
Applications of derivatives
Related rates
Optimization problems
Curve sketching
Introduction to integration
Definite and indefinite integrals
Fundamental Theorem of Calculus
Applications of integrals
Mathematical problem-solving
Exam and homework preparation

If you're studying calculus at school, university, or as part of an engineering or computer science program, we can focus specifically on the topics you need.

🎯 How do I teach?

I believe calculus becomes much easier when you understand the idea before learning the formula.

That's why I usually start with an intuitive explanation, then work through examples together, and finally give you problems to solve yourself.

We'll take things step by step.

If you make a mistake, that's completely fine. In fact, mistakes are often one of the best ways to learn mathematics. We'll find out where the mistake happened, why it happened, and how to avoid it next time.

And please ask questions! There are no "stupid" questions in my classes. If something doesn't make sense, I'll try to explain it in a different way until it becomes clear.

👨‍🎓 Who is this class for?

This class can be suitable for:

High school students
University students
Engineering and Computer Science students
Students learning calculus for the first time
Students who want to strengthen their mathematical foundations
Students preparing for calculus exams
Students who need help with calculus homework or exercises
Anyone who wants to understand calculus rather than simply memorize formulas

I will adapt the lessons to your current level, your goals, and your learning pace.

💡 My teaching philosophy

For me, learning mathematics isn't about being "good at math."

It's about finding the right explanation, practicing enough, and gradually building your confidence.

You don't have to understand everything immediately.

We'll take it one concept at a time.

Understand → Practice → Make mistakes → Learn → Improve.

That's my approach to teaching.

🚀 Ready to make calculus easier?

Whether you're struggling with limits, derivatives, integrals, or simply want a stronger understanding of calculus, I'd be happy to help.

Let's stop being afraid of calculus and start understanding it. 😊

Learn Easy. Learn Smart. Let's solve it together! 📐