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Comprehensive Thesis Support in Statistics, Probability, and Data Analysis Using R
From 127.46 $ /h
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
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
Location
Online from Morocco
About Me
Experienced mathematics teacher for preparatory classes
A qualified mathematics teacher with a master's degree in mathematics from Paris-Dauphine University, I have over 20 years of experience teaching preparatory classes for the grandes écoles (scientific and commercial). A specialist in entrance exams for engineering and business schools, I help students master fundamental concepts, deepen their understanding of methods, and solve challenging exercises.
My teaching approach is based on rigor, clarity, and adapting to the specific needs of each student. I make it a point of honor to develop their analytical skills, their problem-solving skills, and their self-confidence in the face of challenges.
If you would like structured and effective support to maximize your chances of success in the competitive exams, do not hesitate to contact me.
A qualified mathematics teacher with a master's degree in mathematics from Paris-Dauphine University, I have over 20 years of experience teaching preparatory classes for the grandes écoles (scientific and commercial). A specialist in entrance exams for engineering and business schools, I help students master fundamental concepts, deepen their understanding of methods, and solve challenging exercises.
My teaching approach is based on rigor, clarity, and adapting to the specific needs of each student. I make it a point of honor to develop their analytical skills, their problem-solving skills, and their self-confidence in the face of challenges.
If you would like structured and effective support to maximize your chances of success in the competitive exams, do not hesitate to contact me.
Education
Education and academic background
With a bachelor's degree in Mathematical Sciences, I continued my graduate studies at Paris-Dauphine University, where I obtained a master's degree in mathematics. Specializing in probability, statistics, analysis, and algebra, I developed in-depth expertise in these fields, allowing me to acquire a solid theoretical and applied mastery of mathematics.
Subsequently, I obtained the agrégation in mathematics, attesting to a high level of pedagogical and disciplinary competence. With this demanding training, I devoted more than 20 years to teaching mathematics in preparatory classes for the grandes écoles, both for scientific and commercial courses.
My background allows me to effectively support students in their preparation for competitive exams, by teaching them rigorous methods and an analytical approach essential to success.
With a bachelor's degree in Mathematical Sciences, I continued my graduate studies at Paris-Dauphine University, where I obtained a master's degree in mathematics. Specializing in probability, statistics, analysis, and algebra, I developed in-depth expertise in these fields, allowing me to acquire a solid theoretical and applied mastery of mathematics.
Subsequently, I obtained the agrégation in mathematics, attesting to a high level of pedagogical and disciplinary competence. With this demanding training, I devoted more than 20 years to teaching mathematics in preparatory classes for the grandes écoles, both for scientific and commercial courses.
My background allows me to effectively support students in their preparation for competitive exams, by teaching them rigorous methods and an analytical approach essential to success.
Experience / Qualifications
Experience in teaching, support and scientific research
With over 20 years of experience teaching mathematics, I have supported generations of students in scientific and business preparatory classes as they prepare for the competitive entrance exams to the Grandes Écoles. My teaching approach is based on clarity, rigor, and adaptation to the specific needs of each student. I have taught both lectures and tutorials, covering diverse areas such as algebra, analysis, probability, and statistics.
Alongside my teaching commitment, I also provided personalized support courses to help students overcome difficulties, deepen their knowledge, and develop effective strategies for written and oral exams. My experience has allowed me to identify key areas to focus on to maximize their chances of success in competitive exams.
In terms of scientific research, I have worked on various topics in pure and applied mathematics, particularly in probability and statistics. My academic career has given me the opportunity to explore advanced issues and contribute to research related to these disciplines. This experience now allows me to integrate more in-depth perspectives into my teaching, linking theory with real-world applications.
Thanks to this dual expertise in teaching and research, I offer a comprehensive approach that combines academic rigor and effective pedagogy to support students towards excellence.
With over 20 years of experience teaching mathematics, I have supported generations of students in scientific and business preparatory classes as they prepare for the competitive entrance exams to the Grandes Écoles. My teaching approach is based on clarity, rigor, and adaptation to the specific needs of each student. I have taught both lectures and tutorials, covering diverse areas such as algebra, analysis, probability, and statistics.
Alongside my teaching commitment, I also provided personalized support courses to help students overcome difficulties, deepen their knowledge, and develop effective strategies for written and oral exams. My experience has allowed me to identify key areas to focus on to maximize their chances of success in competitive exams.
In terms of scientific research, I have worked on various topics in pure and applied mathematics, particularly in probability and statistics. My academic career has given me the opportunity to explore advanced issues and contribute to research related to these disciplines. This experience now allows me to integrate more in-depth perspectives into my teaching, linking theory with real-world applications.
Thanks to this dual expertise in teaching and research, I offer a comprehensive approach that combines academic rigor and effective pedagogy to support students towards excellence.
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
French
English
Skills
Availability of a typical week
(GMT -05:00)
New York
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
📌 Private lessons in Mathematics and Physics – Preparatory Classes
You are in scientific preparatory classes (MPSI, PCSI, PTSI, ECS, ECE, BCPST, etc.) and you wish to:
Consolidate your foundations in mathematics and physics,
Develop effective resolution methods,
Prepare yourself for the competitive exams with rigor and serenity,
Improve your results with tailor-made support?
👉 I offer intensive and personalized support courses adapted to the requirements of preparatory classes.
👨🏫 About me
Master's degree in mathematics training
Mathematics Aggregation
24 years of experience in teaching mathematics and physics, both at secondary level and in preparatory classes and at university.
Specialist in supporting students towards success in competitive exams.
🎯 What I offer you
Clear and detailed explanations of complex concepts, with course reminders.
Rigorous methodology for solving typical competition exercises.
Personalized monitoring according to the student's level and objectives.
Training in writing and reasoning required in preparatory classes.
Targeted preparation for oral and written competitive exams.
📚 Areas of intervention
Mathematics: analysis, algebra, probability, geometry, optimization, differential equations...
Physics: mechanics, electricity, thermodynamics, optics...
📌 Organization of courses
Private lessons in person or online (via interactive whiteboard and shared materials).
Possibility of regular courses or intensive courses during the holidays.
Adaptation of the pace according to your needs (refresher, weekly monitoring, targeted preparation for competitions).
✨ My goal
To give you not only an understanding of the concepts, but also the essential working method to succeed in prep and gain confidence.
---
👉 Do not hesitate to contact me to discuss your needs and set up a suitable work plan.
---
Do you want me to reword it in a more concise and punchy version (marketing style) or keep this long and detailed format?
You are in scientific preparatory classes (MPSI, PCSI, PTSI, ECS, ECE, BCPST, etc.) and you wish to:
Consolidate your foundations in mathematics and physics,
Develop effective resolution methods,
Prepare yourself for the competitive exams with rigor and serenity,
Improve your results with tailor-made support?
👉 I offer intensive and personalized support courses adapted to the requirements of preparatory classes.
👨🏫 About me
Master's degree in mathematics training
Mathematics Aggregation
24 years of experience in teaching mathematics and physics, both at secondary level and in preparatory classes and at university.
Specialist in supporting students towards success in competitive exams.
🎯 What I offer you
Clear and detailed explanations of complex concepts, with course reminders.
Rigorous methodology for solving typical competition exercises.
Personalized monitoring according to the student's level and objectives.
Training in writing and reasoning required in preparatory classes.
Targeted preparation for oral and written competitive exams.
📚 Areas of intervention
Mathematics: analysis, algebra, probability, geometry, optimization, differential equations...
Physics: mechanics, electricity, thermodynamics, optics...
📌 Organization of courses
Private lessons in person or online (via interactive whiteboard and shared materials).
Possibility of regular courses or intensive courses during the holidays.
Adaptation of the pace according to your needs (refresher, weekly monitoring, targeted preparation for competitions).
✨ My goal
To give you not only an understanding of the concepts, but also the essential working method to succeed in prep and gain confidence.
---
👉 Do not hesitate to contact me to discuss your needs and set up a suitable work plan.
---
Do you want me to reword it in a more concise and punchy version (marketing style) or keep this long and detailed format?
📌 Private lessons – Probability, Statistics & Data Analysis (Bachelor’s & Master’s)
You are a Bachelor's or Master's student and you wish to:
Understand in depth the concepts of probability and statistics,
Master data analysis tools (statistical methods, inference, tests, modeling),
Develop mathematical rigor and the ability to apply it to concrete cases,
Preparing for your exams, university projects or dissertations?
👉 I offer personalized courses to meet the specific needs of students in mathematics, economics, management, engineering sciences or any field requiring a solid background in statistics.
👨🏫 About me
Mathematics graduate
Master's degree in mathematics training
24 years of experience in higher education and monitoring undergraduate and graduate students.
Specialist in probability, applied statistics and data analysis.
🎯 What I offer you
Clear explanations of theoretical concepts with concrete examples.
Support in solving exercises and preparing for exams.
Practical training in data analysis (descriptive methods, estimation, tests, regressions, PCA, etc.).
Use of statistical software (R, Python, SPSS, SAS according to your needs).
Methodological monitoring for your projects, dissertations and research reports.
📚 Areas of intervention
Probabilities (random variables, probability laws, expectation, variance, law of large numbers, central limit theorem).
Inferential statistics (estimators, confidence intervals, hypothesis tests).
Linear regression and statistical models.
Multivariate analysis and classification methods.
Introduction and in-depth study of Data Science.
📌 Organization of courses
In-person or online courses (interactive whiteboard, file sharing, corrected exercises).
Possibility of regular monitoring or intensive one-off sessions.
Adaptation of content according to your university program.
✨ My goal
Allow you to master both theory and practice, in order to pass your exams and develop real skills in data analysis useful for research and the professional world.
---
👉 Contact me to define your goals and establish a program adapted to your needs.
---
Would you like me to write a combined version that brings together the two advertisements (prep courses + bachelor's/master's) to have a single, versatile advertisement on Apprentus, or would you prefer to keep two separate, targeted advertisements?
You are a Bachelor's or Master's student and you wish to:
Understand in depth the concepts of probability and statistics,
Master data analysis tools (statistical methods, inference, tests, modeling),
Develop mathematical rigor and the ability to apply it to concrete cases,
Preparing for your exams, university projects or dissertations?
👉 I offer personalized courses to meet the specific needs of students in mathematics, economics, management, engineering sciences or any field requiring a solid background in statistics.
👨🏫 About me
Mathematics graduate
Master's degree in mathematics training
24 years of experience in higher education and monitoring undergraduate and graduate students.
Specialist in probability, applied statistics and data analysis.
🎯 What I offer you
Clear explanations of theoretical concepts with concrete examples.
Support in solving exercises and preparing for exams.
Practical training in data analysis (descriptive methods, estimation, tests, regressions, PCA, etc.).
Use of statistical software (R, Python, SPSS, SAS according to your needs).
Methodological monitoring for your projects, dissertations and research reports.
📚 Areas of intervention
Probabilities (random variables, probability laws, expectation, variance, law of large numbers, central limit theorem).
Inferential statistics (estimators, confidence intervals, hypothesis tests).
Linear regression and statistical models.
Multivariate analysis and classification methods.
Introduction and in-depth study of Data Science.
📌 Organization of courses
In-person or online courses (interactive whiteboard, file sharing, corrected exercises).
Possibility of regular monitoring or intensive one-off sessions.
Adaptation of content according to your university program.
✨ My goal
Allow you to master both theory and practice, in order to pass your exams and develop real skills in data analysis useful for research and the professional world.
---
👉 Contact me to define your goals and establish a program adapted to your needs.
---
Would you like me to write a combined version that brings together the two advertisements (prep courses + bachelor's/master's) to have a single, versatile advertisement on Apprentus, or would you prefer to keep two separate, targeted advertisements?
Good-fit Instructor Guarantee