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Since December 2021
Instructor since December 2021
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Experienced Engineer & Professor - Advanced Data Analysis & Statistics | 300+ people coached | SPSS, R Studio, Jamovi, JASP
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From 31 £ /h
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◾ Tools

R studio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

◾ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL
- Descriptive, exploratory and multivariate statistical analyses on business data
- Production of performance indicators and actionable analyses to support decision-making

◾ Selection and implementation of methods

- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)
- Exploratory factor analysis
- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making
Location
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At student's location :
  • Around Paris, France
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Online from France
About Me
◾◾ À propos de moi – Expérience & accompagnement ◾◾

Avec 9 ans d’expérience en analyse de données et statistiques avancées, j’ai accompagné plus de 300 élèves et professionnels issus de parcours variés :

◾ étudiants de l’enseignement supérieur
◾ ingénieurs et chercheurs
◾ professionnels de différents secteurs

Mon accompagnement est concret et appliqué, allant de la structuration de la démarche analytique jusqu’à l’analyse et l’interprétation des résultats :

◾ organisation et structuration du travail
◾ choix des méthodes statistiques adaptées
◾ réalisation des analyses
◾ interprétation et mise en valeur des résultats
Education
◾ Doctorant en statistique et analyse de données
◾ Ingénieur data analyst
◾ Encadrement et supervision de projets de fin d’études, avec accompagnement méthodologique et analytique des étudiants dans leurs travaux de recherche.
Experience / Qualifications
◾ Outils

R Studio • SQL • SPSS • SAS • Jamovi • JASP

◾ Méthodes & tests statistiques

T de Student • ANOVA • MANOVA • ANCOVA • Régression (linéaire & logistique) • Corrélation • Khi-deux • Tests non paramétriques • ACP • AFC • Analyse factorielle exploratoire • Classification / Clustering • Médiation • Modération • Interprétation

◾ Analyse de données & aide à la décision

- Préparation, structuration et fiabilisation des données (data préparation) avec SAS, R et SQL
- Analyses statistiques descriptives, exploratoires et multivariées sur des données métiers
- Production d’indicateurs de performance et d’analyses exploitables pour l’aide à la décision

◾ Choix et mise en œuvre des méthodes

- Préparation et structuration des bases de données
- Tests d’hypothèses et analyses univariées, bivariées et multivariées (ANOVA / ANCOVA)
- Régressions linéaires et logistiques
- Analyses factorielles (ACP / AFC)
- Modèles de médiation et de modération
- Classification / clustering

1) Accompagnement académique

- Cours, TD, projets et travaux en statistique
- Aide à la compréhension et à l’interprétation des résultats
- Préparation aux examens et présentations académiques

2) Analyse statistique

- Statistiques descriptives (univariées et bivariées)
- Analyses multivariées
- Exploration des données et détection des valeurs aberrantes

3) Tests statistiques

- Corrélations (Pearson, Spearman, Kappa de Cohen)
- Tests t (un et deux échantillons, indépendants ou appariés)
- Khi-deux, tests binomiaux
- z-scores et indicateurs associés

4) Modélisation statistique

- Régressions linéaires (simple et multiple)
- Régression logistique
- Interprétation des coefficients, diagnostics et validation des modèles

5) ANOVA & ANCOVA

- ANOVA à un ou plusieurs facteurs
- ANOVA à mesures répétées
- Effets fixes et aléatoires
- Tests post-hoc et tailles d’effet

6) Analyses factorielles

- ACP / PCA (scree plot, scores factoriels, matrices)
- Analyse factorielle exploratoire
- Rotations factorielles
- Validation et interprétation des structures et des clusters

◾ Reporting & communication

- Reporting clair, structuré et synthétique des résultats
- Visualisations adaptées aux décideurs
- Aide à la prise de décision stratégique et opérationnelle
Age
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
90 minutes
120 minutes
The class is taught in
English
French
Arabic
Reviews
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
at home icon
At student's home
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
◾ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP

◾ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

◾ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL
- Descriptive, exploratory and multivariate statistical analyses on business data
- Production of performance indicators and actionable analyses to support decision-making

◾ Selection and implementation of methods

- Preparation and structuring of databases
- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)
- Linear and logistic regressions
- Factor analyses (PCA / MCA)
- Mediation and moderation models
- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics
- Help in understanding and interpreting the results
- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)
- Multivariate analyses
- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)
- t-tests (one and two samples, independent or paired)
- Chi-square, binomial tests
- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)
- Logistic regression
- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA
- Repeated measures ANOVA
- Fixed and random effects
- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)
- Exploratory factor analysis
- Factorial rotations
- Validation and interpretation of structures and clusters

◾ Reporting & communication

- Clear, structured and concise reporting of results
- Visualizations tailored to decision-makers
- Support for strategic and operational decision-making.
Read more
✓ Tools

RStudio • SQL • SPSS • SAS • Jamovi • JASP • Excel

✓ Statistical Methods & Tests

Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation

✓ Data analysis & decision support

- Data preparation, structuring and validation using SAS, R and SQL

- Descriptive, exploratory and multivariate statistical analyses on business data

- Production of performance indicators and actionable analyses to support decision-making

✓ Selection and implementation of methods

- Preparation and structuring of databases

- Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA)

- Linear and logistic regressions

- Factor analyses (PCA / MCA)

- Mediation and moderation models

- Classification / clustering

1) Academic support

- Lectures, tutorials, projects and assignments in statistics

- Help in understanding and interpreting the results

- Preparation for exams and academic presentations

2) Statistical analysis

- Descriptive statistics (univariate and bivariate)

- Multivariate analyses

- Data exploration and outlier detection

3) Statistical tests

- Correlations (Pearson, Spearman, Cohen's Kappa)

- t-tests (one and two samples, independent or paired)

- Chi-square, binomial tests

- z-scores and associated indicators

4) Statistical modeling

- Linear regressions (simple and multiple)

- Logistic regression

- Interpretation of coefficients, diagnostics and validation of models

5) ANOVA & ANCOVA

- One- or multi-factor ANOVA

- Repeated measures ANOVA

- Fixed and random effects

- Post-hoc tests and effect sizes

6) Factor analyses

- ACP / PCA (scree plot, factor scores, matrices)

- Exploratory factor analysis

- Factorial rotations

- Validation and interpretation of structures and clusters

✓ Reporting & communication

- Clear, structured and concise reporting of results

- Visualizations tailored to decision-makers

- Support for strategic and operational decision-making
Read more
Show more
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• Motivate and build students' confidence
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Currently in Master 2 of Random Modeling at the University of Paris Cité, after a rigorous research Master focused on dynamic systems, I dedicate my expertise to Bachelor (L1, L2, L3) and Master (M1) students facing the demands of scientific and economic fields.

Objective: Zero obstacles. A targeted support system to help you pass your exams and entrance exams.
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I mainly offer Italian lessons 🇮🇹, suitable for beginners as well as students wishing to improve their level.
I can also offer academic support in other subjects, depending on the student's needs, to help them better understand their lessons, do their homework and progress at their own pace.
🇮🇹 Italian:
• Learning the basics
• Grammar and conjugation
• Vocabulary
• Oral and written expression
• Pronunciation and conversation
📖 Other subjects and academic support:
• Homework help
• French
• LANGUAGES
• Methodology and organization
• Supporting students to better understand their lessons
My goal is to offer simple, personalized lessons adapted to each student's level, in a pleasant and motivating atmosphere.
Feel free to contact me to discuss your needs and build together a program tailored to your objectives!
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I offer personalized academic support in Mathematics, Physics, Chemistry, and Biology for secondary and high-school students. Whether the goal is to strengthen fundamental concepts, overcome specific difficulties, improve problem-solving skills, prepare for tests and exams, or simply gain confidence in a subject, each lesson is adapted to the student’s curriculum, level, objectives, and learning pace.

Learning science is about much more than memorizing formulas, definitions, and procedures. My approach focuses first on understanding: identifying what really matters, connecting different concepts, developing logical reasoning, and learning how to approach a problem step by step. The objective is not only to improve academic results, but also to help students become more confident, curious, and independent learners.

Depending on the student’s level and curriculum, I can provide support in:

¤ Mathematics — algebra, equations and inequalities, functions, sequences, geometry, trigonometry, vectors, limits, derivatives, integrals, probability and statistics
¤ Physics — mechanics, motion and forces, energy, electricity, electromagnetism, waves, optics, thermodynamics, atomic and modern physics
¤ Chemistry — atomic structure, chemical bonding, reactions, stoichiometry, solutions and concentrations, acids and bases, oxidation-reduction, thermochemistry, kinetics and introductory organic chemistry
¤ Biology — cell biology, genetics and DNA, molecular biology, human physiology, reproduction, evolution, ecology and basic biochemistry

I hold a PhD in Physics and have a broad academic background in physics, mathematics, applied sciences, and experimental research. My scientific training allows me to connect concepts across different subjects and, whenever useful, relate what students learn in class to concrete examples, experiments, technology, and real scientific applications.

Lessons are adapted to the student’s own school program and materials and can be provided in English or French, with explanations in Arabic whenever helpful.
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After a bachelor's degree in physics and a master's degree in statistics and economics, I attended CentraleSupélec and ESSEC Business School. My academic path allowed me to develop a strong grasp of mathematics and statistics. I also worked as a teaching assistant in statistics at ESSEC and completed a research internship on a NASA-related project.

In mathematics, I believe that progress depends first and foremost on a solid understanding of the material. Therefore, at the beginning of each session, I take the time to review the key concepts. I explain them simply and with examples until the student feels truly comfortable with the subject.

Once the lesson is understood, we move on to exercises. We start with simple applications and then gradually progress to problems that require more thought. The goal isn't just to find the right answer. My main aim is for the student to learn to think independently and to know which method to use when faced with a new problem.

Depending on the needs, we can review certain basics, delve deeper into a chapter, work through exercises assigned in class, or prepare for an assignment and an exam. I adapt each session to the student's level and objectives.
My goal is to make mathematics clearer and more accessible so that the student progresses methodically and, above all, gains confidence in themselves.
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As a computer engineer, I attended preparatory classes in mathematics and physics (MP), where I acquired a solid foundation in both subjects, as well as a proven study method. I now offer to share this experience with you through private tutoring tailored to your level and goals.

I start with an initial exchange to identify your difficulties, then I build each session around your needs: review of the basics, understanding the concepts of the program, problem-solving methods, preparation for tests, the brevet, the bac or competitions.

What we can work on together:

Mathematics: calculus, equations, functions, geometry, probability, sequences, derivatives, integrals, linear algebra, analysis...
Physics: mechanics, electricity, waves, optics, thermodynamics, electromagnetism...
Methodology: writing a rigorous proof, analyzing a statement, managing your time during an exam
Bonus: an introduction to programming (Python) applied to mathematics and physics

My goal is for you to truly understand, not just memorize. Having experienced the demands of preparatory classes myself, I know what the stumbling blocks are and how to overcome them. I re-explain concepts in different ways when they prove difficult, and I provide targeted exercises to help you progress between sessions.

Middle school students, high school students (specializing in maths/physics-chemistry), students in preparatory classes or at university: feel free to contact me for an initial exchange.
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