Private lessons in Mathematics and Physics for Preparatory Classes – Experienced Associate Professor (20 years)

Comprehensive Thesis Support in Statistics, Probability, and Data Analysis Using R For Bachelor’s, Master’s, and Doctoral Students – All Disciplines Are you currently preparing your final thesis, research paper, or academic dissertation and struggling with the statistical component, data analysis, or the use of R software? I offer specialized, high-level academic support for students and researchers needing assistance in designing, executing, and presenting quantitative research using rigorous statistical methods and advanced data analysis with R. --- Who I Help Students and early-career researchers in fields such as: Economics, Finance, Business & Marketing Management & Human Resources Psychology, Education, Sociology & Political Science Public Health, Epidemiology & Medicine Engineering, Environmental Sciences & Urban Studies Data Science, Computer Science, Mathematics & Machine Learning Whether you're a beginner in statistics or already comfortable with data but unsure how to structure your work academically — I adapt to your needs. --- Detailed Services Offered 1. Research Design & Statistical Methodology Refining research questions and translating them into statistical hypotheses Identifying appropriate study designs (experimental, quasi-experimental, cross-sectional, longitudinal, etc.) Selection of variables, metrics, and scales Determining sample size and statistical power (power analysis) Building conceptual and analytical frameworks 2. Data Analysis Using R Data cleaning and wrangling (dplyr, tidyr, data.table, etc.) Exploratory data analysis (EDA) with graphical and statistical summaries Statistical testing: t-tests, ANOVA, chi-square, Mann-Whitney, Wilcoxon, etc. Regression models: Linear regression Logistic regression Multinomial and ordinal regression Poisson and negative binomial models Panel data models Multivariate techniques: PCA (Principal Component Analysis) Factor Analysis Cluster Analysis (k-means, hierarchical) Correspondence Analysis Machine Learning (optional): Decision trees, Random Forests, SVM, etc. Time series analysis (ARIMA, Holt-Winters, Exponential smoothing) Data visualization using ggplot2, plotly, shiny dashboards (on request) Code optimization and creation of custom reusable scripts 3. Writing and Structuring Statistical Sections Assistance with writing the methodology and results sections: In proper academic English (or French) With clarity, scientific accuracy, and structured argumentation Proper interpretation of p-values, confidence intervals, effect sizes, R2, etc. Integration of graphs, tables, and summary statistics directly from R Help with organizing appendices (data tables, code snippets, raw outputs) 4. Proofreading, Review, and Feedback In-depth review of your full draft Correction of technical and logical inconsistencies in the statistical reasoning Advice on improving academic flow and clarity Formatting guidance (APA, MLA, Chicago, Harvard, etc.) 5. Coaching & Pedagogical Support One-on-one coaching sessions tailored to your level and project Explaining every concept and technique so that you understand and own your thesis Simulation and walkthrough of a potential thesis defense or presentation Tips on how to explain your statistical choices and justify your findings to your supervisor or jury --- Languages & Communication Work in English or French Clear, responsive communication Support available via email, Zoom, Google Meet, or your preferred platform Live screen sharing, real-time R coding, file exchange, and collaborative editing via Google Docs or Overleaf --- Flexible and Transparent Work Format One-time assistance (specific problem or section) Ongoing support throughout the thesis process (several weeks/months) Help available even on weekends and evenings Discretion, confidentiality, and academic integrity guaranteed --- Why Work With Me? Over 20 years of experience in mathematics and teaching Master’s degree in Mathematics with specialization in mathematics education and applied statistics Practical expertise as a data analyst, working on real-world datasets and academic projects Strong command of R, as well as experience with SPSS, Excel, Python (on request) Successful track record of supporting dozens of students in completing theses in Europe, North Africa, and North America

Mathematics, physics and computer science courses for preparatory classes for grandes écoles (engineering and business) Are you in a preparatory class for science or economics and looking to strengthen your skills in mathematics, physics, or computer science? I offer customized courses tailored to the requirements of the competitive entrance exams for the Grandes Écoles. Through a rigorous and structured approach, we will work together to understand fundamental concepts, solve typical exercises, and delve deeper into complex topics. My goal is to help you acquire effective methods, optimize your reasoning, and improve your speed in responding to challenges. Whether you need a refresher, advanced training, or regular support, my classes are tailored to your pace and goals. We can cover both theoretical concepts and their practical application, with corrected exercises and methodological advice. Do not hesitate to contact me for any questions or to arrange an initial discussion to assess your specific needs.

🌟 Become an Expert in Probability, Statistics and Data Science! 🌟 Do you want to master probability, advanced statistics, or learn data science? My private lessons are designed to support you, whether you're a bachelor's or master's student, preparing for the BCE or HEC competitive exams, or simply passionate about data analysis. 🎓 📊 Areas of Expertise** - **Probabilities**: Discrete and continuous laws (binomial, Poisson, normal, exponential, etc.), expectation, variance, **limit theorems** (law of large numbers, central limit theorem), **stochastic processes**, Markov chains. - **Descriptive and inferential statistics**: Data analysis, hypothesis testing (Z-test, t-test, chi-square, ANOVA), confidence intervals, linear and logistic regression. - **Data Science**: Introduction to data analysis tools with **Python**, **R** or **Excel**, statistical modeling, time series, multivariate analysis. - **Preparation for competitive exams**: Methodology adapted for the **mathematics** tests of the **BCE**, **HEC**, **ENS**, or other demanding courses. 🎯 For Whom? - Students in **mathematics**, **economics**, **engineering**, **social sciences** or **biology**. - Students in **preparatory classes** (ECS, ECE, BCPST, MPSI, etc.) aiming for excellence in competitive exams. - Professionals wishing to train in **data analysis**, **applied statistics** or **data science**. - Enthusiasts who want to understand **stochastic processes** or probabilistic models. 💡 My Method - **Tailor-made courses**: Adapted to your level and your objectives, whether to **understand the basics** or to **explore advanced concepts**. - **Practical exercises**: Concrete cases and typical problems to prepare you for exams, competitions or professional projects. - **Educational approach**: Clear and detailed explanations to help you overcome difficulties and gain confidence. 📈 Why Choose Me? - Solid experience in teaching **applied mathematics**, **statistics** and **data science**. - Caring teaching methods adapted to each profile. - Focus on **deep understanding** of concepts and their application in various contexts (competitions, studies, professional projects). 🚀 Objectives - **Pass your exams** or competitions with flying colors. - **Acquire solid skills** in probability, statistics and data science. - **Develop analytical thinking** to solve complex problems. --- **#Probability #Statistics #DataScience #StochasticProcesses #BCECompetitions #HECCompetitions #Python #R #DataAnalysis #Mathematics #PrepClasses #Success #Pedagogy** Ready to take action? Turn your challenges into strengths and become an expert in probability and statistics! 🚀