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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 41 € /h
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◾ 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.
Location
location type icon
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
Teenagers (13-17 years old)
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
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 • 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
◾ 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
Read more
Show more
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Most kids think coding is for "smart kids" or "future programmers."
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✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded
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Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?"
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verified badge
A highly experienced Franco-Belgian teacher (ook in het nederlands!) offers private lessons in mathematics (including finance), probability and statistics, as well as physics, chemistry, and biology for secondary and higher education levels. For physics, chemistry, and biology, the instruction is tailored to the secondary level, specifically up to the 5th year of secondary education in Belgium.

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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.
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Statistics is a mathematical science that includes methods of collecting, organizing, and analyzing data so that meaningful conclusions can be drawn from them. In general, its investigations and analyses fall into two broad categories called descriptive and inferential statistics.
In this course, you will be provided information about the basics of the statistical concepts so that you will get good grades in you exams. we will learn statistics through different languages and different statistical tools like (SAS, STATA, Rstudio, MATLAB, MINITAB, SPSS ETC.
We will learn how we can apply the statistical tool for applying in our daily life.
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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance.
Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one.
What we can cover depending on your goals:

Python fundamentals: variables, loops, functions, data structures
- Object-oriented programming (OOP)
- Data manipulation with pandas and NumPy
- Introduction to machine learning with scikit-learn
- Database management with SQL
- C and Java upon request
- MATLAB and R available for engineering/science students

Why learn with me?
I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now.
Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.
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Are you ready to create interactive, visually appealing websites that stand out in today’s competitive market? In this course, you’ll master the essential front-end development skills:

✅ HTML, CSS, and JavaScript – Build responsive and modern web pages
✅ React & Vue.js – Learn cutting-edge frameworks for dynamic UIs
✅ Real-World Projects – Work on hands-on projects to strengthen your skills
✅ Problem-Solving & Creativity – Develop intuitive, user-friendly interfaces

🔹 Who is this course for?

- Beginners who want to break into web development
- Developers struggling with front-end concepts
- Anyone looking to level up their skills and build real projects

🚀 Stuck on a project? Want to learn high-income tech skills?
This course will help you gain confidence, land opportunities, and grow in the tech industry.

📩 Contact me for more details and start your front-end journey today!
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doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me
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As a teaching professional, I have always enjoyed sharing my knowledge. My goal is to provide quality education. I am aware that some topics may seem complex, but often this is simply the result of an inadequate explanation by the teacher. With me, you will discover a real interest in the material!

We strive together to achieve academic excellence, overcoming the shortcomings and difficulties encountered by your child. Studies will become a pleasant experience for him. In addition to the courses, I can also help with school orientation, identifying their preferences and highlighting the advantages and benefits of a fulfilling educational ambition.

The sessions generally take place according to the following stages:

1️⃣ The first sessions are devoted to the assessment of the student's level in order to detect existing gaps.

2️⃣ Next, we create a personalized plan to address these gaps, including the number of hours of work needed, specific areas to focus on, and appropriate training and development exercises.

3️⃣ We stay in constant contact with the student's class teacher, to keep up to date with the latest requirements and ensure a consistent approach.

4️⃣ Subsequently, I provide exams similar to those that are likely to be asked in class, to prepare the student effectively.

5️⃣ Upon request, I write a regular report, usually monthly, to keep parents informed of their child's progress throughout their course.

I adapt my methodology according to the specific needs of each student, thus offering them a personalized and adapted work approach.

In addition, I offer crash courses for students preparing for the start of the school year, allowing them to start the year well prepared, with a solid lead on the school curriculum.

If you have any questions, do not hesitate to contact me. I will be happy to help you.
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Welcome to my Programming Projects Support class!

Are you facing hurdles with your programming projects? Let's tackle them together!

As a Geophysics PhD student, I rely heavily on programming tools like Matlab, Python, and R for data analysis, mathematical modeling, plot results and much more.

After a lot of requests from students I created this course which is specifically meant to give you support completing your final programming projects.

Here's what you can expect:

- We'll review your project's background and requirements.
- Analyze your coding progress and identify areas for improvement.
- Collaborate to overcome obstacles, debug your code and advance your project.
- Tailored sessions based on your project's complexity and your skill level.

Whether you require a single session or a series of in-depth consultations, my goal remains the same: to help you break through programming barriers and achieve your goals.

Ready to level up your programming skills? Let's get started!

Please note:
This is a support course only ! While I'm here to guide you, the project's success lies in your hands and I will not finish your project for you.
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Are you drowning in countless formulas? Is your head starting to explode with equations and graphs? Don't panic! Math doesn't have to be a stumbling block. With the right explanation and a calm approach, it often becomes much clearer. Together, we'll tackle it step by step, at your pace.

For whom?
- Students from primary and secondary education
- Children and young people preparing for exams or tests
- Anyone who wants to give mathematics a second chance, including adults

What can you expect?
- I explain the often complicated mathematical language in clear, human language
- Focus on insight, not just learning tricks and formulas by heart
- Exercises that we tackle together
- Space for questions, repetition and building self-confidence

About me
I'm currently pursuing my Master's degree in Data Science/Analytics at the University of Antwerp. In high school, I had seven hours of math a week and always passed my exams with high marks. I've been happily tutoring students of various levels for several years now. I'm analytical, but also calm, patient, and good at sensing exactly where things are going wrong.

Practical:
- 1-on-1 lessons, online, at my place or at yours (if you don't live too far away)
- We will go through your material together or I will provide my own material
- Your own pace and approach, completely tailored to you

Feel free to send me a message with your questions or concerns, and we'll discuss how I can best support you.
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Are you a student in a bachelor's degree program, preparatory classes, or engineering school and need help understanding your math courses? I'm here to help you online.
Course in descriptive statistics, combinatorial analysis and probability. R programming language.
Algebra and analysis for the bachelor's degree.
Mathematics courses for engineering programs.
Numerical analysis courses for Master's and engineering programs.
High school diploma and university level.
I offer you the option of a single block course or sessions spread over several weeks.
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I am a senior lecturer at the National School of Applied Sciences (ENSA), holding a doctorate in mathematics, with more than 15 years of experience in teaching at different levels: middle school, high school and higher education.
I offer math tutoring for all levels: middle school, high school and higher education (Algebra, Analysis, Data Analysis, Probability and Statistics, Financial Mathematics...) Clear and progressive method adapted to each student's pace Review of the basics, preparation for exams and competitions Possibility of lessons at home or online according to your preference.
Location: Agadir.
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🎓My name is Marc, I have a Master 2 degree in Applied Mathematics and Statistics and a Master 2 degree in Mathematics.
I teach mathematics and computer science to the following levels:
• Middle school (all grades)
• High school: common core curriculum, mathematics specialization, advanced mathematics
• Higher education: BTS, BUT, Bachelor's degree, private schools (probability, statistics, analysis, algebra, etc.)

📍 Areas of intervention
• At home: Marseille
• Online: throughout France (video conference lessons, shared materials, exercises sent after the lesson).

🧠 My method
• Review of the basics to fill in the gaps
• Simple explanations + concrete examples
• Targeted exercises to prepare for tests, exams, baccalaureate, midterms, etc.
• Implementation of a work method (worksheets, time management, writing)

🧮 For whom?
• Students who are struggling and want to improve their grades
• Students aiming for a good grade in the Brevet/Bac exams
• Higher education students who want to succeed in their math/statistics/computer science (python) exams.

⏰ Availability
• In the evenings on weekdays, and it's possible during the day on certain days of the week.
• Weekends
• School holidays (possibility of revision courses in small groups).
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I have graduated with a degree in chemical engineering from the University of Edinburgh, UK. I am also an Erasmus Mundus scholar with a master's in Analytical Chemistry from Uppsala University. Currently, I am pursuing a PhD in physical chemistry.

I have been tutoring since 2012 to fund my education expenses. I formally began tutoring in 2014 as part of my vocational training as a teacher in Ghana, funded by the University of Edinburgh. The formal training has taught me a lot about curriculum development, time management, and fusing my teaching methodology to my students’ needs. I have been tutoring in Physics, Chemistry, and Math, in person and online; the hybrid model has allowed me to reach out and teach students in 8 different countries. I have successful students from these past nine years who have not only commended my work ethic but can also stand testament to my enthusiasm.

My excellent academic career has nurtured in me a natural talent for teaching. My experiences have taught me how to tackle one problem at a time, and I believe that using this approach—paired with my unconventional examples that force students to think outside the box—I can truly provide an excellent understanding and explanation. My teaching methodology is based on two main things: skill development and adaptation. Initially, I create a skeleton of the most suitable methodology tailored to the preferred curriculum, after which, I adapt that lecture to the specific needs of the student based on their knowledge and grasp of the concepts. Second, I like to develop analytical and scientific ability along with knowledge in my students, and for that, I use a combination of resources in the form of worksheets, class tasks, and past papers. Last, I believe in the strong ethic of providing feedback to the parents, so that they are aware of their child’s progress.

Frequently Asked Questions:
Which subject(s) do you teach?
I teach math, mechanics, statistics, chemistry and physics. I also teach biology up to GCSE level.

When are you available? My timetable is quite flexible. I am happy to work weekdays, week evening and weekends.

Which ages and levels do you teach? The majority of my students are between the ages of 10-18, but I also teach college Students. I am also helping foundation and first year university students.

Which qualifications do you prepare your students for? GCSE, IGCSE, A/S-level, A-level, IB, School entrance exams and SATs

Describe your arrangements for online tutoring? I use Zoom online sessions since it has many tools and features specially designed for interactive and visual learning. I am fully equipped with modern gadgets for e-learning. I use Google drive and docs to share files.
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