Web Design and Data Analytics: Building Effective and Responsive Websites and Understanding and Analyzing Complex Data Sets

Àpd 35 $ /h

This class is designed to provide students with a foundational understanding of web design principles and techniques. The course will cover a variety of topics including HTML, CSS, layout design, color theory, typography, and responsive design.

Students will learn how to create a website from scratch, starting with the basic structure of an HTML document, and then adding styling and layout using CSS. They will also explore the design principles that are essential to creating an effective and aesthetically pleasing website, such as color schemes, typography, and spacing.

The class will involve a combination of lectures, discussions, and hands-on exercises to help students develop their design skills. Students will be required to complete several projects throughout the course, including designing a simple website and creating a responsive design that works on multiple devices.

By the end of the class, students will have gained the skills and knowledge necessary to create functional and visually appealing websites that are optimized for a variety of devices and platforms. This class is ideal for anyone who wants to learn the basics of web design, including individuals interested in creating their own personal or professional websites, as well as designers and developers who want to expand their skillset.

Informations supplémentaires

1. Prerequisites: None, but basic computer skills are recommended.
2. Required materials: Students will need a laptop with internet access and a text editor (such as Notepad++ or Sublime Text) installed. It is recommended that students have a modern web browser (such as Chrome or Firefox) installed as well.
3. Class format: Each class session will consist of a lecture and a hands-on exercise.
4. Grading: Students will be graded on their participation in class discussions, completion of in-class exercises, and completion of several projects. There may also be a final exam or project.
5. Attendance policy: Students are expected to attend all class sessions. If a student needs to miss a class, they should notify the instructor in advance and make arrangements to catch up on any missed material.
6. Office hours: The instructor will hold regular office hours each week to provide additional support and answer any questions students may have.
7. Course materials: Lecture slides, assignments, and other course materials will be posted online and accessible to students throughout the course.

Lieu

En ligne depuis Royaume-Uni

Présentation

With a strong background in web design and development, I am dedicated to helping my students develop the skills and knowledge they need to succeed in this constantly evolving field. I am experienced in working with a range of web design tools and data analytics technologies, including HTML, CSS, color theory, typography, responsive design, Python, SQL, and more.

My approach to teaching emphasizes a collaborative and supportive learning environment that fosters creativity, critical thinking, and problem-solving. I believe that effective web design is not just about creating visually appealing websites but also about designing user-friendly interfaces that meet the needs of the audience. In my classes, I strive to strike a balance between theory and practical experience, allowing my students to gain hands-on experience and develop their portfolios.

I understand that each student learns differently, and I am committed to adapting my teaching style to meet their unique needs and learning styles, whether working individually or in groups. My priority is to provide personalized guidance and support to help my students achieve their goals.

As a data analytics tutor, I bring my experience in data analysis, statistical analysis, programming languages such as Python, and database management to the table. I believe that data is essential to making informed decisions and driving business strategies. In my classes, I equip my students with the skills and knowledge they need to analyze, visualize, and interpret complex data sets, and use these insights to inform decision-making.

My teaching philosophy is to provide a hands-on and practical approach to teaching data analytics, using real-world examples and case studies to help my students understand how to apply their skills in different contexts. I believe that developing critical thinking, problem-solving, and communication skills are essential to success in the field, in addition to understanding the technical aspects of data analytics.

Overall, my goal as a tutor in both web design and data analytics is to help my students achieve their goals, build their confidence, and develop the skills and knowledge they need to succeed in these exciting and dynamic fields.

Education

Master of Science: Data Analytics 01/2023
De Montfort University - Leicester, LCE
Bachelors of Science: Pure and Applied Mathematics 08/2018
Ladoke Akintola University of Technology- Nigeria

Expérience / Qualifications

Data Analyst Instructor 08/2022 - current
Code First Girls( London)

Science Instructor 03/2021 - Current
Realcare Tech Mark(Leicester)

Age

Enfants (7-12 ans)

Adolescents (13-17 ans)

Adultes (18-64 ans)

Niveau du Cours

Débutant

Intermédiaire

Avancé

Durée

60 minutes

Enseigné en

anglais

Compétences

Création de site web (web design)

Base de données oracle

Python

Disponibilité semaine type

(GMT -05:00)

New York

Cours par webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Matías

4.88

(85)

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.

Amin

4.88

(85)

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.

Salah

4.88

(85)

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.

Roger

4.88

(85)

Do you need a boost in mathematics to better understand lessons, pass your exams or prepare for a competition? Do you want to learn to program in C, C++, Python or Java to develop skills sought after in the digital world?
This comprehensive and personalized academic support program is designed to meet your needs and help you succeed!

💡 Why Choose this Program?
This course offers tailor-made support, adapted to your level and your objectives:

🎯 Progress in mathematics by strengthening your foundations and mastering advanced concepts.
💡 Understand theoretical concepts in depth to better apply them in exercises and problems.
💻 Learn to program in C, C++, Python and Java with clear explanations and practical exercises.
🚀 Develop essential skills in algorithms and computer problem solving.
🎓 Effectively prepare for your exams (Bac, Licence, competitive exams) thanks to targeted revisions and practice subjects.
With a caring educational approach, this course helps you gain confidence and achieve your academic goals.

📘 Mathematics – From Secondary to Bachelor
Mathematics is the key to academic success in many scientific and technical fields.
This module covers:

Secondary Level (Middle and High School):

Arithmetic, fractions, percentages, proportionality.
Algebra: Equations, inequalities, functions (linear, quadratic, exponential, logarithmic).
Geometry: Theorems, trigonometry, analytical geometry.
Statistics and probability: Analyze data, calculate probabilities.
Preparation for exams: Brevet, Bac, entrance exams for grandes écoles.
University Level (Bachelor):

Differential and integral calculus: Derivatives, integrals, sequences and series.
Linear Algebra: Matrices, vectors, systems of linear equations.
Advanced Probability and Statistics: Random variables, probability laws, estimation and hypothesis testing.
Numerical analysis: Methods for approximate resolution of equations and systems of equations.
Discrete Mathematics: Graphs, Boolean logic, combinatorics.
This module offers progressive exercises, clear explanations and detailed corrections to understand in depth and train effectively.

💻 Programming – C, C++, Python and Java
Mastering programming is a major asset for success in the digital and technological field.
This module covers the fundamentals of programming to enable you to:

Understand algorithmic logic and computer problem solving.
Master the syntax of the C, C++, Python and Java languages.
Writing your first programs: Variables, conditional structures, loops, functions.
Work on practical projects: Calculator, data management, simple games, sorting and searching algorithms.
Develop advanced skills:
Object-oriented programming (C++, Java): Classes, inheritance, polymorphism.
Memory management (C, C++): Dynamic allocation, pointers.
File manipulation: Reading and writing data.
Data structures: Lists, stacks, queues, binary trees.
Code optimization for faster and more efficient programs.
This module offers concrete examples, practical exercises and motivating projects to help you learn while having fun while developing skills useful in the professional world.

🎯 Interactive and Motivating Teaching
Dynamic online courses: Learn from home in an interactive format with audio and screen sharing.
Tailor-made method: The courses are designed according to your level and your objectives for learning at your own pace.
Practical exercises and concrete projects: To apply theoretical concepts and develop your skills.
Personalized monitoring: Regular support to monitor your progress and adapt the program to your needs.
Encouragement and motivation: A positive approach to building your confidence in your abilities.
🔔 For Who?
This program is aimed at:

High school students wishing to strengthen their foundations in mathematics or learn to program.
University students in science or computer science looking to deepen their knowledge of math and programming.
Candidates for exams and competitions preparing for the Baccalaureate, a License, or entrance exams to the grandes écoles.
Programming enthusiasts wanting to learn the fundamentals of C, C++, Python or Java.
Adults in professional retraining wishing to acquire programming skills.
🚀 Ready to Succeed?
Join the "🎓 Academic Support – 📘 Maths from Secondary to Bachelor & 💻 Programming in C, C++, Python and Java!" and benefit from personalized support to achieve your goals.
Whether you want to improve your grades, pass your exams or develop programming skills, this program will give you knowledge, confidence and motivation.

Register today and take the first step towards success!

Amine

4.88

(85)

Discover programming lessons suitable for children! With a fun and educational approach, my lessons allow young minds to dive into the fascinating world of programming. Provide your children with an enriching learning opportunity in a fun and stimulating environment.

Mouad

4.88

(85)

We are a team of engineers passionate about programming. We offer Python tutoring courses suitable for all levels (beginners, advanced students, CPGE students, or anyone looking to develop their skills).

Our courses combine essential foundations, practical examples and clear teaching to ensure solid and useful progress for both studies and careers.

Grégory

4.88

(85)

Ayant été élève de classe préparatoire en MP* à Paris, j'entamerai cette année ma première année à l'ENSEEIHT, une école d'informatique à Toulouse.
Je peux effectuer des cours de programmation du collège au niveau de classe préparatoire. Je vous assure des cours de Scratch, de Python et de Ocaml.
J'ai commencé à programmer à l'âge de 12 ans. Durant ma scolarité au collège, j'ai effectué plusieurs programmes. L'un de mes plus élaborés est un bot Discord en JavaScript avec plusieurs fonctionnalités comme la calculatrice ou jouer à un pendu. J'ai également programmé un pendu à l'aide de Scratch. Puis, avec un ami, j'ai programmé un jeu de piano sur Python.

J'espère pouvoir utiliser cette expérience pour vous accompagner au mieux. Je vous proposerai des exercices formateurs d'informatique. Je souhaite pouvoir vous partager ma passion.

Des quizs réguliers sur mon site personnel seront également proposés à mes élèves afin de pouvoir assimiler et maîtriser les nouvelles connaissances le mieux possible

Hamza

4.88

(85)

Discover the power of Python with an experienced computer trainer!
I'm Hamza, a passionate developer and seasoned mentor with extensive experience teaching programming. My unique teaching approach will help you quickly acquire solid Python skills while discovering its real-world applications in the professional world.
What you will learn:

Python Fundamentals (variables, control structures, functions)
Advanced Object-Oriented Programming
Data Analysis and Visualization with Pandas and Matplotlib
Developing graphical interfaces with PyQt
Practical projects inspired by real business cases

Why choose me?

Over 10 years of experience in training and mentoring
Teaching method adapted to all levels
Hands-on approach based on concrete projects
Contagious passion for code and technological innovation

Whether you're a beginner looking to get started in programming or a professional looking to improve your skills, this course will open up exciting new opportunities in the world of software development and data science.
Join me for a captivating journey into the heart of the most versatile and in-demand programming language on the market!
Book now and take the first step towards mastering Python. Your career as a Python developer starts here!

Boris

4.88

(85)

Vous souhaitez apprendre à programmer mais vous ne savez pas par où commencer ? "Maîtrisez les Bases de Python – Cours Débutant pour Apprendre à Programmer Facilement" est le choix parfait pour vous ! Python est l'un des langages de programmation les plus populaires et accessibles. Que vous soyez étudiant, en reconversion professionnelle ou simplement curieux de découvrir le monde du codage, ce cours vous fournira toutes les notions de base nécessaires pour débuter en toute confiance.

Pourquoi apprendre Python ?
Facilité d'apprentissage : Python est reconnu pour sa syntaxe simple et claire, ce qui en fait le langage idéal pour les débutants.
Polyvalence : Utilisé dans de nombreux domaines (développement web, intelligence artificielle, data science, automatisation), Python vous ouvre de nombreuses opportunités professionnelles.
Communauté active : Une grande communauté d'utilisateurs vous permet de trouver facilement de l'aide et des ressources en ligne.

Ce que vous allez apprendre :
Ce cours aborde toutes les notions fondamentales nécessaires pour maîtriser Python :

Introduction à Python : Installation de l'environnement de développement et exploration de l'interface.
Syntaxe et Variables : Apprendre les règles de base de Python, ainsi que la déclaration et l'utilisation des variables.
Types de données : Manipuler les nombres, les chaînes de caractères, les listes, les tuples et les dictionnaires.
Opérateurs et Expressions : Réaliser des calculs, comparer des valeurs et combiner des conditions logiques.
Conditions et Boucles : Utiliser les structures de contrôle (if, else, for, while) pour créer des programmes interactifs.
Fonctions : Définir, appeler et organiser votre code à l'aide de fonctions réutilisables.
Gestion des erreurs : Comprendre les exceptions et apprendre à les gérer pour rendre vos programmes plus fiables.
Entrées et sorties : Interagir avec l'utilisateur et lire/écrire des fichiers pour stocker des données.
Introduction à la programmation orientée objet (POO) : Découvrir les bases de la POO à travers des exemples simples.

Méthodologie et approche pédagogique :
Pas à pas et pratique intensive : Chaque notion est expliquée de manière progressive, avec des exemples concrets pour faciliter la compréhension des concepts. Vous mettrez immédiatement en pratique ce que vous apprenez grâce à des exercices pratiques et des mini-projets motivants.
Cours interactifs en ligne : Les cours se déroulent en ligne, utilisant l'audio et le partage d'écran pour garantir une communication fluide et un apprentissage interactif.
Apprentissage par projet : Vous développerez de petits programmes tout au long du cours, ce qui vous permettra de voir concrètement les résultats de vos efforts.
Suivi personnalisé : Nous adaptons le rythme et le contenu en fonction de votre niveau et de vos besoins spécifiques. Vous bénéficierez d'un accompagnement sur mesure pour progresser efficacement.
Pour qui ?
Ce cours s'adresse à :

Les débutants qui n'ont jamais programmé auparavant et souhaitent apprendre à coder facilement.
Les étudiants en informatique ou dans des filières scientifiques désireux de maîtriser Python pour leurs études.
Les professionnels en reconversion qui souhaitent acquérir une compétence recherchée sur le marché du travail.
Les passionnés de technologie curieux de découvrir le monde de la programmation.

Pourquoi choisir ce cours ?
Un accompagnement sur mesure : Chaque élève est unique. Nous personnalisons nos cours en fonction de votre niveau et de vos objectifs pour vous aider à progresser efficacement.
Un enseignant expérimenté : Le cours est dirigé par un ingénieur informaticien passionné par l'enseignement et expert en Python.
Des résultats rapides : Grâce à une méthodologie adaptée et un suivi régulier, vous serez en mesure d'écrire vos propres programmes en un temps record.
Comment ça marche ?
Évaluation initiale : Un bilan personnalisé pour déterminer vos objectifs et votre niveau de départ.
Cours en ligne interactifs : Apprenez depuis chez vous avec des explications en direct, des démonstrations et des exercices pratiques.
Suivi personnalisé : Recevez des retours réguliers sur vos progrès et des conseils pour vous améliorer continuellement.
Inscrivez-vous dès maintenant !
Ne laissez plus la programmation vous sembler difficile. Rejoignez-nous pour maîtriser les bases de Python et apprendre à coder facilement. Lancez-vous dans l'aventure du développement informatique avec confiance et plaisir !

Sebastien

4.88

(85)

L'excellence du code par l'accompagnement sur mesure

Vous ne souhaitez pas simplement apprendre une syntaxe, mais acquérir une véritable expertise en développement. Que vous fassiez vos premiers pas en programmation ou que vous cherchiez à consolider des bases existantes, ce programme d’accompagnement individuel est conçu pour transformer votre potentiel en compétences professionnelles.

Ma méthode repose sur une immersion totale : vous ne subissez pas la théorie, vous l'appliquez immédiatement pour bâtir des solutions concrètes. À chaque étape, votre mentor est à vos côtés pour affiner votre logique et optimiser votre pratique.
Pourquoi choisir ce parcours Premium ?

-Ingénierie pédagogique personnalisée : Le programme n'est pas figé. Il s'adapte à votre rythme d'apprentissage, à vos centres d'intérêt et à vos ambitions professionnelles.

-Apprentissage par la réalisation : Chaque bloc de compétences est validé par la création d'un projet réel, vous permettant de constituer un portfolio solide dès le premier jour.

-Mentorat de haut niveau : Vous bénéficiez d'une attention exclusive. Chaque ligne de code est revue, chaque erreur devient une opportunité de compréhension profonde.

-Environnement technologique moderne : Apprenez à utiliser les outils des professionnels (IDE, environnements virtuels, gestionnaires de paquets) dans des conditions réelles.

-Objectifs concrets : Que ce soit pour une reconversion, une réussite académique ou l'obtention d'une certification, le contenu est orienté vers votre succès final.

Architecture du programme
1. Maîtrise des fondamentaux et logique de programmation

-Fondations : Installation, configuration de l'environnement de travail et premiers scripts.

-Mécanismes de base : Variables, typage dynamique, opérateurs et structures de contrôle (conditions et boucles).

-Modularité : Création de fonctions réutilisables, gestion des modules et des bibliothèques standards.

-Données : Manipulation experte des listes, dictionnaires, tuples et ensembles.

-Interactions : Gestion des flux de données, lecture et écriture de fichiers, débogage et gestion des exceptions.

2. Architecture logicielle et Programmation Orientée Objet (POO)

-Conception : Création de classes, instanciation d'objets et gestion des attributs.

-Piliers de la POO : Encapsulation, héritage et polymorphisme pour un code robuste et maintenable.

-Optimisation : Méthodes statiques, méthodes de classe et surcharge d'opérateurs.

3. Spécialisations et écosystèmes professionnels

-Développement Web : Architecture de sites dynamiques avec Flask ou Django.

-Data Science et Analyse : Manipulation de données de masse avec Pandas et NumPy.

-Intelligence Artificielle : Initiation au Machine Learning avec Scikit-learn.

-Automatisation et Web Scraping : Interaction avec des API et extraction de données avec BeautifulSoup.

-Développement Multimédia : Création d'interfaces et de jeux avec Pygame.

4. Ingénierie avancée et fiabilité

-Performance : Programmation asynchrone avec Asyncio pour des applications réactives.

-Qualité logicielle : Mise en place de tests unitaires avec Pytest pour garantir la stabilité du code.

-Sécurité et Déploiement : Meilleures pratiques de sécurité et gestion des dépendances professionnelles.

Profils visés

Ce cursus d'élite s'adresse aux profils exigeants :

-Débutants ambitieux souhaitant une structure rigoureuse dès le départ.

-Étudiants en filières scientifiques ou technologiques nécessitant une maîtrise pointue pour leurs projets académiques.

-Professionnels en transition cherchant à acquérir une compétence rare et valorisée sur le marché.

-Autodidactes souhaitant briser leur plafond de verre avec l'aide d'un expert.

Passez à l'action

Le marché du travail ne cherche pas des personnes qui "connaissent" Python, mais des professionnels capables de construire des applications. Ne vous contentez pas de suivre un cours, vivez une formation qui s'adapte à vous.

Rejoignez "Python Premium" dès aujourd'hui et donnez une nouvelle dimension à votre carrière de développeur.

Abderrahim

4.88

(85)

Do you have a Python project to complete for your studies and you don't know where to start, or are you stuck in your code?
👉 I offer you fast, structured and results-oriented support to help you move forward effectively and succeed in your project.
🚀 What you will get:
Practical support for your university project (practical work, mini-project, dissertation, etc.)
A clear understanding of the code and logic used
Step-by-step solutions explained to help you progress quickly
Clean, structured and functional code
Greater autonomy for your future projects
🔍 My method:
Analysis of your topic and your needs
Breaking down the problem into simple steps
Clear explanations + direct practical application
Correction and improvement of your code
Tips to avoid common mistakes
👨‍💻 For whom?
Students in computer science or scientific fields
Students with projects or practical work in Python
Beginners or intermediates stuck on an exercise
Anyone with a project to finalize quickly
🎯 Objective:
👉 Helping you understand, correct and successfully complete your Python project effectively, while gaining autonomy
📩 Contact me now to move your project forward quickly and achieve concrete results

Ammar

4.88

(85)

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.

Abdel

4.88

(85)

Professeur expérimenté et diplômé, je propose des cours particuliers à domicile ou en ligne en Mathématiques, Physique, Statistiques et Python, avec une méthode pédagogique moderne, claire et adaptée au niveau de chaque élève.

J’accompagne les élèves de Seconde, Première, Terminale, Brevet, ainsi que les étudiants de 1re année universitaire et classes préparatoires, selon les programmes français, internationaux et européens.

Les cours peuvent porter notamment sur :

Mathématiques : analyse, algèbre, matrices, fonctions, probabilités et statistiques ;
Physique : mécanique, électricité, énergie, ondes et autres notions du programme ;
Statistiques : statistiques descriptives, probabilités, analyse de données et exercices appliqués ;
Python : initiation à la programmation, algorithmique, calcul scientifique et résolution de problèmes mathématiques.

Objectif : permettre à chaque étudiant de mieux comprendre les notions, combler ses lacunes, gagner en confiance et progresser efficacement.

Les résultats de mes étudiants témoignent de l'efficacité de cette méthode, avec notamment des mentions Très Bien, Bien et d'excellents résultats.

N'hésitez pas à me contacter pour obtenir davantage de renseignements ou pour définir un programme adapté à votre niveau et à vos objectifs.

Réponse garantie dans les meilleurs délais, généralement de quelques minutes à 12 heures maximum.

Khalil

4.88

(85)

Learn Python by building something you’ll actually use

Ever wanted to code but had no idea where to begin? You’re in the right place. In these relaxed, one-on-one lessons, you’ll go from zero to writing real programs, with no experience required.

Together, we’ll choose a project that fits your interests. Maybe it’s a video game you want to build or a quiz to challenge your friends, a chart built from your own spreadsheet, or a script that takes over a boring, repetitive task. Along the way, you’ll pick up the essentials (variables, loops, functions) and learn to read error messages without panic, so you can change your code with confidence.

Where you can go next

AI-assisted coding: Use tools like ChatGPT to brainstorm, decode errors, and improve your code, while learning to test its suggestions and explain how the final result works.
Machine learning: Train a simple model on a real dataset and see how well it predicts.
Your own project: Bring an idea from school, work, or a hobby, and we’ll break it into steps you can build at your own pace.

Your instructor

I’m an engineer with a master’s degree from Nagoya University and research experience in applied AI and computer vision. I explain every concept in plain language, then give you time to try it yourself with live feedback, so you’re never stuck alone.

Ready to start?

Send me a quick message and let's do your first coding project together.

Hugo

4.88

(85)

Is your code not doing what you want it to? Are you learning Python but just copying and pasting without really understanding?

Loops, functions, algorithms, data structures... Behind these intimidating concepts lie simple, visual ideas. My goal: to help you understand them, not just apply them.

These tools may seem difficult at first, but they make perfect sense once you visualize them in practice: seeing a loop run, a variable change, a list fill up. That’s the level I’d like to help you reach, using diagrams, analogies, and programs we’ll build together, line by line.

I offer computer science lessons (Python and other languages), from middle school through college, to help you:
- overcome obstacles and regain confidence,
- prepare for your exams (Brevet, Baccalaureate, midterms, entrance exams, NSI),
- make progress on your projects: lab assignments, scripts, games, digital projects...

Each lesson is tailored to your needs: we’ll go over the tricky parts, code together, and I’ll teach you methods to become self-sufficient.

Message me to schedule your first lesson: let’s make the abstract clear!