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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 59 C$ /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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