Formation Pratique : Analyse Statistique avec le Langage R

Von 11.32 Fr /Std

Vous êtes étudiant en STEM ou chercheur ? Vous avez besoin de réaliser des analyses rigoureuses pour vos études ou vos publications ? Rejoignez notre formation intensive conçue pour vous accompagner.

Programme de la formation :

Les Fondamentaux de R : Installation, syntaxe et structures de base.

Manipulation de données : Maîtrise des packages essentiels (Tidyverse, dplyr).

Data Visualization : Création de graphiques professionnels et percutants.

Analyses Statistiques : ANOVA, Regressions linéaires ,satistique.

Méthodes Multidimensionnelles : ACP (Analyse en Composantes Principales) et Clustering.
compostion de sceance:
✅ Approche pratique basée sur des cas réels.
✅ Accompagnement personnalisé pour vos projets de recherche.

Ort

Online aus Algerien

Über mich

Passionnée par l’informatique et les mathématiques appliquées, je suis titulaire d’un Master en Intelligence Artificielle. Mon approche pédagogique repose sur les concepts complexes, que ce soit pour résoudre des problèmes mathématiques ou pour maîtriser la programmation en Python, j'aime transmettre mon savoir de manière pratique et concrète. J'adapte ma méthodologie selon les besoins de l'étudiant, qu'il soit un débutant curieux ou un étudiant cherchant à perfectionner ses compétences techniques.

Bildung

Master of Science (M.Sc.) : Intelligence Artificielle, Systèmes et Connaissances - Université de Ghardaïa (Graduée en 2019).
BSc Degree : Informatics Systems - Université de Ghardaïa (Graduée en 2017).
Certifications : Certificats professionnels en Data Science (IBM) et Data Analytics (Google).

Erfahrung / Qualifikationen

Data Analyst & Mentor : Expérience en mentorat technique pour des start-ups sur l’acquisition de données et la planification stratégique.
Expertise Python : Utilisation avancée de Python pour l'analyse de données, l'apprentissage automatique (Machine Learning) et l'IA.
Formatrice en outils BI : Animation d'ateliers sur Power BI et MS Excel pour des équipes professionnelles.
Analyse Statistique : Maîtrise des méthodes mathématiques et statistiques appliquées à des projets réels.

Alter

Jugendliche (13-17 Jahre alt)

Erwachsene (18-64 Jahre alt)

Seniorinnen und Senioren (65+ Jahre alt)

Unterrichtsniveau

Anfänger

Mittel

Fortgeschritten

Dauer

60 Minuten

Unterrichtet in

Französisch

Englisch

Arabisch

Fachkenntnisse

Programmierung

Numerische analyse

Statistik

Verfügbarkeit einer typischen Woche

(GMT -05:00)

New York

Online via Webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Programming in Python and Basic Algorithms

9.81 Fr /Std

I offer training in Algorithms and Python programming for students and beginners.
Level 1: variables, logical syntax, balls, blocks and functions.
Level 2: packages, file processing, graphical presentations (dashboard).

Mathematics tutoring (all levels) and academic support for the BEM and Baccalaureate exams.

10.56 Fr /Std

*I offer private Mathematics lessons for all levels (Middle School, High School), focused on deep understanding of concepts and solving exercises.
class composition:
- presentation of the courses with examples.
- Solving exercises.
- schedule block sessions (during exam periods) to complete the test topics and proposals.

Manoj

4.95

(21)

I am a Professional Full Stack Developer with over 15 years of hands-on experience in software engineering, system design, and artificial intelligence.
I’ve worked across frontend, backend, DevOps, and AI, building enterprise-grade systems for real-world applications — from large-scale microservices to cognitive AI platforms.

I’m passionate about teaching the real, modern way of coding — combining deep technical foundations with today’s most advanced technologies: Generative AI, Agentic systems, RAG architectures, cloud automation, and intelligent DevOps.

Whether you are a beginner exploring your first “Hello World,” a professional improving your stack, or a researcher/developer exploring AI systems, I can guide you step-by-step — conceptually, practically, and strategically.

🧩 What You Will Learn
🖥️ Front-End Development

Master how to build responsive, interactive, and high-performance interfaces:

HTML / HTML5 – Structure, semantics, forms, accessibility

CSS / CSS3 / SCSS – Layout, animations, responsive design, Flexbox, Grid

Bootstrap / Tailwind / Material UI – Rapid design frameworks

JavaScript (ES6+) – Functional programming, event loop, closures, async/await

TypeScript – Strong typing, interfaces, decorators, generics

React.js / Next.js – Components, hooks, state management, routing, APIs

Angular (1.x to 17) – Modules, dependency injection, RxJS, advanced architecture

Vue.js (optional) – Reactive programming, lifecycle management

jQuery / AJAX – Legacy support and backend communication

Web Performance – Lighthouse, Core Web Vitals, PWA, caching strategies

⚙️ Back-End & Enterprise Development

Build scalable, secure, and intelligent server-side systems:

C / C++ / Data Structures / Algorithms / OOPS

Java / J2EE / Spring / Spring Boot / Spring Cloud / Hibernate / Struts / Wicket

Microservices Architecture – API gateway, service registry, inter-service communication

Node.js / Express / NestJS – Modern JavaScript/TypeScript backend

REST & SOAP Web Services – API design, security, documentation (Swagger / Postman)

Python (Flask / FastAPI) – REST APIs, ML pipelines, automation

Shell Scripting (Linux/Unix) – Automation, cron jobs, log parsing, DevOps scripting

PHP / Laravel / CodeIgniter – Classic web backend development

Containerization & Orchestration: Docker, Kubernetes, Helm

CI/CD & Cloud: Jenkins, GitHub Actions, Azure DevOps Pipelines

☁️ Cloud & DevOps Mastery

Learn to build, deploy, and scale applications on the cloud:

AWS (EC2, S3, Lambda, DynamoDB, API Gateway, ECS)

Azure (App Services, Functions, CosmosDB, DevOps)

Google Cloud (GCP, Vertex AI, BigQuery, Cloud Run)

Monitoring & Logging: ELK Stack (Elasticsearch, Logstash, Kibana), Grafana, Prometheus

Infrastructure as Code (IaC): Terraform, AWS CDK, Azure Bicep

Version Control & Collaboration: Git, GitHub, GitLab, Bitbucket

CI/CD Pipelines: Build, test, deploy automation, rollback, release management

📱 App Development

Develop mobile and hybrid apps end-to-end:

Android (Java/Kotlin) – UI/UX, activity lifecycle, API integration

Hybrid Frameworks: Ionic, Cordova, React Native

Progressive Web Apps (PWA) – Offline-first, caching, mobile optimization

Firebase Integration: Auth, Firestore, Cloud Messaging

🤖 Artificial Intelligence & Machine Learning

Learn how modern AI systems are built and deployed:

AI Fundamentals: Neural networks, supervised/unsupervised learning

Machine Learning with Python: scikit-learn, TensorFlow, PyTorch

Natural Language Processing (NLP): Transformers, BERT, GPT

Computer Vision: OpenCV, YOLO, Image Classification

AI APIs & Integrations: Google DialogFlow, Azure Cognitive Services, OpenAI API

🧬 Generative AI, RAG & Agentic Systems

Special focus on real-world AI integration and automation:

Generative AI Models (GPT, Claude, Gemini, Llama, Mistral) – Practical implementation

Prompt Engineering – Designing powerful, reusable prompt frameworks

Retrieval-Augmented Generation (RAG) – Hybrid search + generation architectures

Agentic AI Systems – Building autonomous multi-agent workflows (e.g., AutoGPT, CrewAI)

Agentic RAG – Contextual memory, chaining, and reasoning systems

LangChain / LlamaIndex – RAG pipelines, document loaders, embeddings, vector DBs

Vector Databases: Pinecone, Chroma, Weaviate, FAISS

Knowledge Graphs & Context Management – Enterprise data linking with RAG

AI App Deployment: FastAPI + Streamlit + LangServe + Docker

Copilot & AI Tools: GitHub Copilot, ChatGPT API, Code Interpreter, Vertex AI Studio

Google AI Developer Kit (ADK) – Edge AI, TensorFlow Lite, Coral, and model serving

Voice AI & Conversational Design: Dialogflow CX, OpenAI Assistants, ElevenLabs

🔬 Data, Testing & Quality

Database Systems: MySQL, PostgreSQL, MongoDB, Oracle, DB2, Redis

Database Design: ERD, normalization, indexing, performance tuning

Testing Tools: JUnit, Mockito, Selenium, Cypress, Postman

TDD / BDD Practices: Unit, integration, and end-to-end testing

Logging & Monitoring: ELK, Splunk, Prometheus

Performance Optimization: Profiling, caching, concurrency

🧩 Operating Systems & Scripting

Windows / Linux / Ubuntu / Unix Administration

File Systems, Permissions, Networking, Process Management

Shell Scripting / Automation / Log Analysis

System Security and SSH Hardening

🧠 Bonus Topics

Mathematics for Programmers – Logic, combinatorics, probability, graph theory

Game Development Basics: Unity, Phaser.js, HTML5 Canvas

AI Ethics, Data Privacy, Responsible AI Design

Automation Projects & Web Crawling / Scraping: BeautifulSoup, Selenium, Puppeteer

No-Code / Low-Code Integrations: Zapier, Make, AI automations

Jerome

4.95

(21)

Doctor in cognitive psychology graduated from the University of Strasbourg, holder of a master 2 of research in Biology and a master 2 professional in scientific communication, I propose courses of statistics (descriptive and inferential, theoretical and applied it is according to your requests) with a pedagogy and methodologies rigorous and personalized according to your needs and your potentialities. My courses are divided into 3 possible approaches: 1 / Theoretical courses / methods and practice 2 / Help with data analysis 3 / Through a scientific popularization approach and a rigorous and effective method (references available) to answer to the expectations of the students and to reach or exceed the objectives set, my courses are easy to understand and appropriate. I propose in addition a training on varied and targeted exercises as well as annals of examination to optimize your preparation. Thus, what seems complex, abstract and incomprehensible to you will become concrete, and you will be able to answer questions without hesitation. I also integrate a coaching method to optimize the learning and training necessary to pass the university exams in statistics.

My courses are aimed at students in psychology or from other courses (university, medicine, engineering schools, BTS, MBA, Business School, Business School, international finance, etc.) wishing to optimize their performance and grades in exams and competitions.

Teacher and trainer at the Ecole Polytechnique, at the Universities of Strasbourg and Paris 8, ESSEC Business School, ISTH, IONIS Education Group, EEEA, Institut Tocqueville etc.

I receive many requests from students at Paris 8 University (IED or not) Paris 5 and Nanterre because I am very familiar with the program and the expectations of the exam jury.

Arianit

4.95

(21)

Struggling with MATLAB? Whether you're a beginner or tackling advanced simulations, our one-on-one online tutoring is here to help you master MATLAB step-by-step. We offer personalized lessons tailored to your level, covering:

Basics of MATLAB programming
Data analysis & visualization
Numerical methods & simulations
Signal processing & control systems
MATLAB for engineering, math, and science courses
Help with assignments, projects, and exam prep

Hasmik

4.95

(21)

I am a graduate in data science with R programming skills. I am able to help the students with assignments, and analysis with their master thesis. My approach is very student-oriented and I explain the subjects in a detailed way so that the students understand the main idea.

Stephanie

4.95

(21)

I like to instill trust and passion for these fields and establish the right learning method for each student. My courses are intended for students aged 6 to 20 years old, ranging from beginner to advanced levels in mathematics, statistics, and/or physics.

Jaydip

4.95

(21)

I can help you with your python project works. With live coding sessions, tips, and tricks you will have a chance to improve your knowledge or complete your coding project/assignments with great insight into the code. I am working with the following libraries in my everyday work AI developer:

Numpy
Pandas
Scipy
Scikit-learn
Tensorflow / Keras
Pytorch
OpenCV
Tesseract
Pillow
Tkinter
Flask
selenium
Matplotlib and many more...

Abdallah

4.95

(21)

Benefits After Completing Our Course:
- Enhanced Problem-Solving Skills: Develop critical thinking and analytical skills, essential for high-demand careers such as data analysis, finance, engineering, and technology.

- Higher Earning Potential: Mastering Maths and Statistics can significantly boost your earning potential, as these skills are highly valued and sought after in the job market.

- Versatile Career Opportunities: Open doors to a wide range of career paths in sectors like business, economics, healthcare, and education, where analytical skills are paramount.

- Real-World Applications: Apply mathematical and statistical concepts to professional settings, improving decision-making and strategic planning capabilities.

- Academic Excellence: Achieve higher grades and a deeper understanding of maths and statistics, giving you an edge in academic and professional pursuits.

- Confidence in Numeracy: Build a solid foundation in maths, enhancing your ability to excel in interviews and on the job.

### Course Description: Maths and Statistics Lessons for All Stages and Syllabus

#### Overview
Our Maths and Statistics lessons are designed for learners of all ages and stages, from children to adults. We use fun and interesting methodologies to make learning engaging and effective. Whether you are a beginner or looking to advance your skills, our course covers a wide range of topics tailored to your needs. Lessons are available both online and offline in Egypt, providing flexible learning options.

#### Course Objectives
- **Mathematical Foundations**: Build a strong foundation in basic mathematical concepts.
- **Advanced Mathematics**: Explore advanced topics in algebra, calculus, and more.
- **Statistics**: Understand and apply statistical methods and concepts.
- **Fun and Engaging Learning**: Use interactive and enjoyable methods to make learning math and statistics exciting.

#### Key Topics
1. **Basic Mathematics**
- Arithmetic operations
- Fractions, decimals, and percentages
- Basic geometry and measurement

2. **Intermediate Mathematics**
- Algebraic expressions and equations
- Functions and graphs
- Probability and combinatorics

3. **Advanced Mathematics**
- Calculus (differentiation and integration)
- Linear algebra
- Advanced geometry and trigonometry

4. **Statistics**
- Data collection and organization
- Measures of central tendency (mean, median, mode)
- Probability distributions and statistical inference

5. **Fun and Interesting Methodologies**
- Interactive games and puzzles
- Real-world applications and projects
- Group activities and collaborative learning

#### Learning Outcomes
By the end of this course, participants will be able to:
- Solve mathematical problems with confidence.
- Apply statistical methods to analyze data.
- Understand and use advanced mathematical concepts.
- Enjoy learning math and statistics through engaging activities.

#### Delivery Method
- **Online**: Accessible from anywhere, providing flexibility for remote learners.
- **Offline**: In-person classes available in Egypt, offering hands-on experience and direct interaction with instructors.

#### Target Audience
This course is ideal for:
- Children and adults at any stage of their mathematical education.
- Students preparing for exams or needing extra support in math and statistics.
- Individuals looking to improve their math skills for personal or professional development.

#### Prerequisites
- No prior knowledge is required for beginners.
- For advanced levels, a basic understanding of math and statistics is recommended.

Ready to make math and statistics fun and engaging? Enroll now and start your journey towards mastering these essential skills with the expert instructor!
======================
Comment:

An experienced teacher at your disposal for:

- Methodology adapted to all levels.
- Upgrading.
- Consolidation of achievements.
- Preparation for an examination / competition
- Help with homework and lessons.
- Complementary exercises and review as controls and exams approach.
- Advice and supervision at the level of working methods.
- Recommended teaching methods.

At the level of my teaching methods, I use those that are advised pedagogically, I always try to explain and detail as much as possible the courses and I do not pass to the following stages until after making sure that the student understood what I explained.

As a teacher, I already have good experience teaching with students for 7 years. What is certain is that I always make sure to go as far as possible to explain the exercises.
Teaching is a telent.
Teaching is my passion. I enjoy helping the student to reach their goals and get the highest degree.
I like when i get a good result with students. The lecture is not only education, it is also fun. I use the most modern techniques.

Sammy

4.95

(21)

🐍 Learn Python and Data Science with an experienced instructor.

🖥 I offer customised private lessons for beginners and advanced students.

👨🏻‍🏫 With two years of experience teaching at a public school for data science and data analysis, I will help you understand concepts such as data processing, machine learning and statistical analyses in a practical way.

🤖 Whether you want to improve your programming skills, analyse data efficiently or develop your own machine learning models, the lessons will be tailored to your individual needs.

Baia

4.95

(21)

Code Your Ideas Into Reality 💻🚀
Want to build your own website or start a tech career? This class is perfect for absolute beginners who want to learn Python and use it to build real, working web apps with Django. You'll go from writing your first line of code to deploying complete projects - step by step, clearly explained, and handsOn.

✨ No experience needed.
🧠 Learn by doing - real apps, real logic.
🌍 Build skills for school, work, or freelance life.

Let’s turn your curiosity into code. First session gets you started!

Alexandra

4.95

(21)

Hello! I'm Alexandra, a passionate tutor with a PhD in physics and scientific research experience. I help students develop a deep understanding of mathematics, physics, chemistry, and statistics in a way that makes learning exciting and accessible.

Together we'll find out which learning strategy works best for you – I'm here to help. Everyone can learn! The key is finding the right approach.

I speak German, English, French and Russian and teach in the language you prefer.

Feel free to get in touch – I look forward to supporting you in your learning!

Kevin

4.95

(21)

For many years, I have successfully supported Swiss students in the fields of statistics, data analytics, machine learning, and artificial intelligence. I have gained extensive experience using R as a statistical programming tool and know exactly what students in Switzerland are required to do. I have numerous sample projects, datasets, and exam questions at my disposal and have prepared many students for their assignments and exams in a targeted, sustainable, and highly successful manner. My focus is on explaining complex statistical procedures, algorithms, and data analyses in an understandable way, demonstrating them in a practical way, and building confidence in the secure handling of data. My goal is not only to improve grades, but also, in the long term, to develop a deep understanding of data-driven questions and modern technologies such as machine learning and AI, which are crucial in later professional life.

► How do I teach?

►I attach great importance to ensuring that my students truly understand statistical concepts, data analytics methods, machine learning, and AI models, rather than just applying them mechanically – this is how we achieve sustainable success in statistics, data analytics, and modern technologies.

►My success is based on my ability to flexibly adapt my teaching style to the individual needs of students in statistics, data analytics, machine learning and AI, including topics such as regression methods, logistic regression and other machine learning algorithms.

►I use practical, lively examples from statistics, data science and AI to clearly explain abstract concepts such as hypothesis testing, analysis of variance, linear and nonlinear models and to anchor them deeply in the memory.

►With patience and clarity, I break down complex statistical analyses, machine learning models, and data processes into their essential components so that no student is overwhelmed and can build a solid foundation in statistics, data analytics, and AI.

►I am convinced that trusting collaboration is crucial to reducing uncertainty in statistics or data science and creating a productive learning atmosphere.

►I offer intensive exam preparation and project support in statistics, data analytics, machine learning and AI, develop strategies to combat exam anxiety with my students and train them on real data sets and complex algorithms.

►As an experienced online tutor for statistics, data analytics, machine learning, and AI, I use modern tools such as interactive whiteboards and live coding sessions in R to make teaching as efficient and practice-oriented as possible.

►Locations: I teach statistics, data analytics, machine learning, and AI at your home, online, or by appointment – flexible, professional, and tailored precisely to your needs.

Tereza

4.95

(21)

I teach mathematics from the basics to the Matura level – and also support students with complex topics. With clear explanations, targeted exercises, and individualized learning plans, I help you build understanding, pass exams successfully, and calculate with confidence. Suitable for school-age pupils, Matura students, and university students.

Danilson

4.95

(21)

This course is designed for students who want to gain a solid understanding of basic computer science concepts. It covers the logic behind computer systems, starting with the inner workings of a computer and progressing to topics such as networking, operating systems, and basic programming.

Whether you're considering a career in technology or simply want to better understand the digital world around us, this course will give you the tools you need to navigate the information age.

Edy

4.95

(21)

Doctor of Economics with a Master's degree in Statistics teaches statistics for secondary school, high school, gymnasium, vocational schools, apprenticeships, university (especially for economics).
Also: courses in econometrics, finance and business management.
Home schooling (up to 25 km from Neuchâtel), or at a location in Neuchâtel, or remotely with a webcam and a program such as Teams or Google Meet.

Rumen

4.95

(21)

My motto: With good explanations, anyone can understand difficult topics.
My profile: Expert in simplifying complex and abstract content.

Teacher training University of Cologne (German/Biology) and tutoring in applied linguistics.
Studied psychology (graduated with honors) at FernUniversität Hagen,conducted tutorials in statistics.
Native languages: German and English.

Several years of teaching experience in German as a foreign language, German, and biology at various age and level stages.
Successful experience in adult education (English as a foreign language) and tutoring in statistics.

Thanks to my dual professional training and experience as a teacher and psychologist, I can explain any content in a very clear, understandable, and application-based way for pupils and students. When teaching, I particularly enjoy offering you a simple and clear approach to complex and abstract topics. This allows you to have positive experiences as early as possible and enjoy learning. In addition, we can of course also address specific learning difficulties and learning techniques.

For successful teaching, I value a transparent structure in terms of content, comprehensibility, clarity, and a pinch of fun. My lessons are 100% tailored to your specific personal and school/university requirements.