LBS EMBA | Tutoring for Decision and Risk Analysis as per the syllabuses of London Business School EMBA, INSEAD, and Harvard SELP

From 156 C$ /h

I teach Decision and Risk Analysis according to the London Business School Executive MBA syllabus, and as per the individual needs of my client. Topics most often include:
Decision Trees Analysis, Sensitivity Analysis, Expected value of perfect (and imperfect) information, Bayes Rule and its applications, Linear Programming/Optimization using MS Excel, Harvard case studies to go with all of these topics.

Extra information

I am a (private) mentor to C-suite executives and Director level professionals in the UAE and Saudi Arabia since September 2017. I make sure their Executive MBA journey is stress-free yet rewarding academically. My clients often say "Voila! Thank you for explaining this concept so nicely Muhammad. We never understood this when the Professor was speaking in class". And these professors are from London Business School, Manchester Business School, City University Cass Business School, INSEAD Executive Education, and the like.

My experience of mentoring senior professionals in the Gulf region enables me to deliver Executive MBA course materials in a manner particularly customized for the client I am teaching. And my exposure to EMBA course materials from several top-ranked business schools allows me to draw examples from beyond what a certain b-school teaches. I also teach Doctor of Business Administration (DBA) candidates, most of whom are Board Members and C-level executives.

Location

Online from United Kingdom

About Me

I'm a Corporate Trainer, an Advisor to company CEO's (both current and future), and a tutor for INSEAD & London Business School Executive MBA. I teach all core (and some elective) courses including:

1. Data Analytics for Managers
2. Decision & Risk Analysis
3. Corporate Finance
4. Managerial Economics
5. Financial and Management Accounting
6. Macroeconomics
7. Strategic, Operations and Supply Chain Management
8. Entrepreneurship
9. Social Media and Internet Marketing

Education

London Business School EMBA, Private Mentor for Board Members and C-suite executives in London, Paris, Brussels, Zurich, Dubai, Riyadh, Singapore, and across the EU and the Middle East.

Experience / Qualifications

Age

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

English

Skills

Risk management

Statistics

Availability of a typical week

(GMT -05:00)

New York

Online via webcam

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

LBS EMBA | Teaching Corporate Finance for Harvard SELP, INSEAD and London Business School Executive MBA

156 C$ /h

I teach Corporate Finance to C-suites and Board Members as per the Harvard Senior Executive Leadership Program (Middle East), London Business School EMBA, INSEAD, Cass, Manchester Global MBA. Topics include: Time Value of Money (TVM), Stocks and Bonds Valuation, Corporate Valuation (Equity, Debt, Discounted Cash Flow and Dividends valuation methods), Mergers and Acquisitions, Options Pricing.

My teaching material always includes a blend of Harvard case studies, textbook chapters, lecture slides, audiovisual material and hands-on software practice (wherever needed). All my tutoring is highly customized to suit each client's particular needs. I also tutor Doctoral candidates studying towards a Doctor of Business Administration (DBA) qualification.

LBS EMBA | Tutoring for Dissertation and Thesis writing for Undergrad, Masters and Doctoral level candidates in business management, interna

156 C$ /h

Any dissertation, thesis or a similar longer piece of writing comprising several thousand words requires careful planning and expert supervision. University supervisors are usually busy and meet their students only rarely. I act as the student's personal supervisor ready to help with their thesis writing whenever they need me. From the Research Proposal stage to Literature Review, Research Methodology chapter to Data collection and analysis, and Results chapter to Referencing, I guide and assist my clients/students throughout the complicated process.

My teaching material always includes a blend of Harvard case studies, textbook chapters, lecture slides, audiovisual material and hands-on software practice (wherever needed). All my tutoring is highly customized to suit each client's particular needs. I also tutor Doctoral candidates studying towards a Doctor of Business Administration (DBA) qualification.

Robert

4.74

(27)

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.

Whether you prefer lessons at your place, my place, or remotely, I am flexible to accommodate your needs. If necessary, I can travel to your home in Brussels, Walloon and Flemish Brabant, with a minimum duration of 2 hours per session. The lessons are designed to provide extensive practice with numerous exercises. Distance learning options are also available through platforms such as Skype, Facebook, etc. Please note that for students in France, only distance learning courses are provided.

In mathematics, I specialize in various topics and frequently provide lessons covering the entire secondary school curriculum, including math 6 and higher. These topics encompass factorization, equations of the 1st and 2nd degree (with in-depth study of parabolas), limits, derivatives, integrals, exponentials and logarithms, as well as trigonometry. Additionally, I am occasionally called upon to teach analytical geometry in space, including equations of lines and planes.

For statistics and probabilities, I provide instruction in descriptive and inferential statistics (univariate and bivariate), covering confidence intervals and hypothesis tests, applicable to secondary and higher education levels.

Feel free to reach out to me to discuss and arrange the lessons based on your specific needs and availability. My aim is to help you enhance your skills effectively and provide personalized instruction. By tailoring the lessons to your requirements, we can ensure rapid progress in your studies.

Natalia

4.74

(27)

With over 12 years of experience in tutoring Maths and English at different levels, my primary objective is to ensure that you not only grasp the material but also find it enjoyable and understand its practical applications.

To achieve this, I will assign homework after each lesson to reinforce your learning and offer progress reports to track your development. Additionally, I am committed to dedicating extra time to help you overcome any challenges you may encounter.

Adam

4.74

(27)

Demystifying probabilities and data processing
Statistics and probability occupy an increasing place in the secondary school curriculum and directly prepare students for the requirements of higher education (economics, medicine, engineering, humanities).

The sessions will include:

Descriptive statistics (means, standard deviations, graphical representations).

Conditional probabilities, probability laws and combinatorics.

Analysis, interpretation of datasets and sampling logic.

Targeted training based on typical exercises and exam problems.

Amin

4.74

(27)

Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it?
This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio).
What we cover, adapted to your level and goals:
- Descriptive and inferential statistics (the ones that actually matter)
- Data cleaning, exploration, and visualization
- Regression, classification, and intro to machine learning
- Time series and forecasting basics
- R for statistical analysis and academic research

Who this is for:
- University students in statistics, economics, engineering, or biology
- Professionals wanting to move into data analysis or data science
- Researchers who need to process and present data properly

I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

Magella

4.74

(27)

📊 University and International Statistics – Step-by-Step Guide

👩‍🎓 Industrial Engineer
📍 Online classes from Lima – catering to high school and university students

I teach statistics and data analysis in a clear, structured, and practical way, so you can solve exercises, understand the logic of the subject, and prepare in advance for your assessments.
⚠️ Statistics requires time, practice, and patience. Starting early makes all the difference.

🎯 Who is it for?
High school students taking the exam:
British system exams (GCSE / A-Level / IGCSE)
Assessments and certifications from American or English universities
University students taking Statistics or Probability courses
Thesis students who need calculation and sample selection.

🧠 How can I help you?
✔️ Guided resolution of exercises from homework, books and guides
✔️ Conceptual preparation for exams
✔️ Methodological advice for theses (not execution)
❌ I do not conduct official exams or assessments

💻 Modality

Classes via Google Meet, Use of interactive whiteboard
Step-by-step explanations, with exam-style examples

📚 Syllabus
Probability
Propositional logic and set theory
Basic concepts of probability
Conditional probability and total probability
Discrete and continuous random variables. Probability functions.
Mathematical expectation
Discrete distributions (binomial, Poisson, etc.), Continuous distributions
Descriptive and Inferential Statistics
Frequency distributions and statistical graphs
Measures of central tendency: Arithmetic and geometric mean
Median and mode, Quartiles, deciles and percentiles
Variance, standard deviation, interquartile range, coefficient of variation
Symmetry and kurtosis coefficients
Linear correlation
Standard normal distribution
Hypothesis testing (one and two samples)
F distribution and chi-square.
Time series

🖥️ Supporting software: Excel, SPSS
Spanish language class

Salah

4.74

(27)

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.

Christoph

4.74

(27)

Are you looking for help with statistics or data analysis?
To prepare for an exam, accomplish a coursework, a bachelor's, master's or doctoral thesis?

I have a PhD title in physics and have been teaching statistics for 10 years. I have already helped more than 150 students succeed.

I make the lecture material more understandable using concrete examples. I correct papers, explain the best methods to solve tasks or put up my own exercices to achieve the necessary level.

I help in interpreting the output of common statistical programs (R/RStudio, Jamovi, Jasp) or in carrying out entire analyses.

I am an affable character and am completely committed to one goal: the success of the student.

Kevin

4.74

(27)

► EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLAND
► UNIVERSITY, FOUNDATION, IB, A-LEVEL & INTERNATIONAL SCHOOL SUPPORT

I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined mathematics, statistics, data analysis, analytical thinking and problem-solving. This technical and data-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding.

For many years, I have successfully supported students in Statistics, Data Analytics, Machine Learning and AI. My main focus is especially on Statistics — from basic descriptive statistics to advanced statistical methods, hypothesis testing, regression, probability distributions and interpretation of results.

I mainly use R for statistical analysis, data handling, visualisation and practical exercises. My goal is not only to help students calculate results, but to make sure they understand what the results mean and how to explain them correctly.

► STATISTICS, DATA ANALYTICS & AI SUPPORT

► STATISTICS & PROBABILITY
I help students understand descriptive statistics, probability, random variables, distributions, sampling, confidence intervals, hypothesis testing, p-values, correlation, regression and statistical interpretation. My lessons focus on explaining the logic behind each method, not just applying formulas.

► APPLIED STATISTICS WITH R
I support students in using R for statistical analysis, data cleaning, visualisation, hypothesis testing, regression models and interpretation of outputs. Students learn how to connect theory, calculation, code and real meaning step by step.

► QUANTITATIVE METHODS & RESEARCH STATISTICS
I help students with statistical methods used in business, economics, psychology, social sciences, science and university research. This includes choosing the correct test, understanding assumptions, interpreting results and presenting findings clearly.

► DATA ANALYTICS & DATA SCIENCE
I support students with data preparation, exploratory data analysis, visualisation, dashboards, summary statistics and practical interpretation. The focus is always on understanding the data and drawing meaningful conclusions.

► MACHINE LEARNING & AI FOUNDATIONS
For students working with modern data topics, I also provide support in the foundations of Machine Learning and AI, including regression, classification, clustering, model evaluation and practical applications. These topics are explained from a statistical point of view, so students understand the logic behind the models.

► UNIVERSITY, FOUNDATION & INTERNATIONAL COURSES
I support students in Statistics, Data Analytics, Business Analytics, Quantitative Methods, Econometrics, Research Methods and technical modules. I help with exam preparation, assignments, projects and practical data analysis tasks.

► HOW I TEACH

► I FOCUS ON REAL STATISTICAL UNDERSTANDING.
Statistics becomes much easier when students understand why a method is used, what the result means and how to interpret it correctly.

► I EXPLAIN FORMULAS STEP BY STEP.
Difficult formulas, tests and models are broken down into simple, logical parts so students can follow the reasoning clearly.

► I CONNECT THEORY WITH R PRACTICE.
Students learn not only the statistical theory, but also how to apply it in R, read the output and explain the result in proper academic language.

► I HELP STUDENTS CHOOSE THE RIGHT METHOD.
Many students struggle with deciding whether to use a t-test, chi-square test, ANOVA, regression or another method. I teach students how to recognise the correct approach from the question or dataset.

► I TRAIN INTERPRETATION AND EXAM TECHNIQUE.
Students learn how to structure statistical answers, write clear conclusions, explain p-values, interpret confidence intervals and present results professionally.

► I ADAPT EVERY LESSON TO THE STUDENT.
Some students need help with theory, others with R coding, assignments, research projects or exam preparation. I adjust every lesson to the student’s exact course, level and goals.

► YEARS OF EXPERIENCE WITH STATISTICS, DATA & UNIVERSITY STUDENTS

Over the years, I have successfully supported students from demanding academic programmes, helping them strengthen their statistical understanding, improve their analytical thinking and achieve excellent progress in Statistics, Data Analytics, Machine Learning and AI.

► ONLINE LESSONS

► Interactive whiteboard
► Clear digital notes
► Step-by-step statistical explanations
► R support for data analysis
► Exam preparation
► Assignment and project guidance
► Practical examples with real datasets
► Focused one-to-one support from Switzerland

► MY GOAL

My goal is not only to help students pass exams or complete assignments, but to help them truly understand Statistics. With the right guidance, statistical methods become logical, practical and much easier to apply.

► SUBJECTS: Statistics, Probability, Data Analytics, Data Science, Machine Learning, AI, Quantitative Methods, Research Methods, Econometrics
► MAIN TOOL: R
► LEVELS: International School, IB, A-Level, Foundation Courses, University Modules, Professional Training
► FORMAT: Online tutoring from Switzerland
► FOCUS: Statistical understanding, R practice, interpretation, exam preparation, assignments, projects and long-term analytical confidence.

Brent

4.74

(27)

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
I can also prepare exercises and even complete practice exams myself.

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

I have already successfully guided students with:
- Mathematics in secondary education: from the 1st to the 6th year, for various fields of study and schools, including Latin at Sint-Michielscollege Brasschaat, Economics-Mathematics at KA Schoten, and Humanities at Annuntia.
- Arithmetic in primary education: pupils in the 4th, 5th, and 6th grades, including mental arithmetic, written calculation, and other arithmetic skills.
- Mathematics in the Electromechanics program at AP University of Applied Sciences.

Feel free to send me a message with your questions or concerns, and we'll discuss how I can best support you.

Raouf

4.74

(27)

The first years of Bachelor's and Master's degrees are often intense and stressful. The first few weeks are the ideal time to fill in any gaps in your knowledge, consolidate what you've learned, and get a head start on the program without the pressure of the academic year.

This course offers tailor-made support, specifically adapted to the requirements of the Luxembourg university system (Uni.lu, etc.).

Who should attend ?

This program is aimed at students who will face crucial challenges at the start of the academic year:
- Students entering Bachelor's degree: For future students in science, economics, computer science or engineering requiring a smooth transition to university mathematics.
- Students aiming for a Master's degree: For strengthening the advanced analytical skills required in higher education.

Program and Objectives by Level

| **Bachelor's Degree** | Acquire academic rigor and methods. | Linear Algebra, Differential and Integral Calculus, Sequences and Series. |
| **Master's** | Deepening knowledge of complex mathematical tools. | Advanced Statistics, Optimization, Modeling, Algorithms. |

My Methodology

My approach is student-centered and results-oriented:

1. Initial assessment: During our first session, we identify your strengths and areas for improvement.
2. Personalized action plan: We define a work schedule adapted to your summer rhythm so as not to encroach on your rest.
3. Understanding before application: Clear and simplified explanation of abstract theoretical concepts.
4. Intensive practice: Solving progressive exercises, past exam papers and practical cases.
5. Toolbox: Provision of summary sheets, problem-solving methods and tips to save time on the day.

---

💡 Practical Information

Format: Online course
Flexibility: Flexible hours to suit your availability.
Follow-up: Available via message between classes for any blocking questions.

Invest in your success today.
Contact me to discuss your goals and book your slot!

Ammar

4.74

(27)

Mathematics, statistics, and data analysis become much easier when formulas, reasoning, computation, and real-world interpretation are connected clearly.

I am a PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 30 years of experience in teaching, quantitative methods, mathematical problem solving, statistical analysis, research, engineering, data analysis, and professional decision support.

This class provides a structured and personalized learning pathway for school and university students, graduate researchers, engineers, professionals, and adult learners. Depending on your goals, we can focus on one specific area or connect several areas into a coherent program.

MATHEMATICS
• Arithmetic, fractions, ratios, percentages, and mathematical foundations
• Algebraic expressions, equations, inequalities, and systems
• Functions, graphs, and transformations
• Geometry and analytic geometry
• Trigonometry
• Precalculus
• Limits and continuity
• Differential calculus and applications
• Integral calculus and applications
• Sequences and series
• Multivariable calculus
• Linear algebra, matrices, vectors, and systems
• Differential equations
• Numerical methods
• Applied and engineering mathematics

STATISTICS, PROBABILITY & ECONOMETRICS
• Descriptive statistics
• Probability rules and probabilistic reasoning
• Conditional probability, independence, Bayes’ theorem, and counting methods
• Expected value, variance, covariance, and properties of common probability distributions
• Random variables and probability distributions
• Sampling and sampling distributions
• Confidence intervals
• Hypothesis testing
• Correlation and regression
• Multiple regression
• ANOVA, ANCOVA, and MANOVA
• Nonparametric methods
• Multivariate statistical analysis
• Econometrics and quantitative methods
• Time-series analysis and forecasting
• Mediation and moderation analysis
• Statistical modelling and predictive analysis
• Econometrics
• Multiple regression
• Time series
• Forecasting
• Mediation/moderation
• Predictive analysis

DATA ANALYSIS & VISUALIZATION
• Data organization and quality assessment
• Data cleaning and preparation
• Data transformation, filtering, grouping, merging, and reshaping
• Relationships between variables and graphical/statistical diagnostics
• Missing values, duplicates, inconsistencies, and outliers
• Exploratory data analysis
• Summary tables and analytical reporting
• PivotTables and aggregation
• Data visualization and appropriate chart selection
• Trend and pattern analysis
• KPI development and performance analysis
• Dashboard concepts and decision-support reporting
• Research and survey data preparation
• Interpretation and communication of analytical findings

Depending on your needs, practical work may involve Excel, SPSS, Stata, R, SAS, Power BI, SQL, Python, or other relevant analytical tools. Software is never treated as a substitute for understanding: I explain the reasoning behind the method, the assumptions involved, the meaning of the output, and how to verify whether the conclusion is sound.

My teaching approach follows a clear progression:
understand the problem → identify the appropriate concept or method → develop the reasoning → calculate or analyze → verify the result → interpret it → communicate the conclusion

We can work with your course syllabus, textbook, representative exercises, exam topics, dataset, statistical output, research question, spreadsheet, dashboard, engineering application, or professional analytical problem.

Whether you are rebuilding mathematical foundations, preparing for an examination, studying advanced calculus, learning statistics, conducting econometric analysis, interpreting research data, or developing practical analytical skills, I will adapt the sessions to your level, objectives, and pace.

My goal is not merely to help you obtain an answer, but to help you understand the reasoning, choose appropriate methods, verify results, interpret findings correctly, and solve new problems independently.

Barlaff

4.74

(27)

I am a qualified and passionate private mathematics tutor, a graduate of Cheikh Anta Diop University of Dakar (UCAD). My academic background led me to study mathematics, physics, and computer science during my first two years of university, before specializing with a bachelor's and master's degree in biomathematics. This training allowed me to deepen my skills in applied sciences and develop advanced expertise in the analysis of complex concepts.
For over ten years, I have been tutoring students, an experience that began within my family circle and has been enriched over time by pedagogical training adapted to digital environments. Today, I offer fully personalized online courses, always starting with a thorough assessment of each student's skills to precisely identify their strengths and weaknesses. This analysis allows me to design a customized remediation program that effectively targets their specific needs.
I find great motivation in working with students eager to succeed. Their commitment and determination to progress stimulate my involvement and reinforce my professionalism. Online, I ensure a serious and structured learning environment, where the focus is strictly on the pedagogical aspect.
My thorough understanding of the mathematics curriculum, combined with my expertise in biomathematics, allows me to simplify complex concepts and make science learning accessible to everyone. My goal is to help each student solidify their foundational knowledge, regain confidence, and become independent in their studies.
I therefore offer my private lessons online, providing geographical flexibility and personalized support to guide each student towards success.

Kian

4.74

(27)

I offer individual tutoring in Statistics, Probability, Quantitative Methods and related mathematical subjects for school, IB, AP, SAT, Fachhochschule and university students.

Statistics can initially feel confusing because many formulas and methods appear similar. My approach is therefore focused on understanding the logic behind the method rather than simply memorising formulas.

We always ask:

- What information is given?
- What exactly needs to be found?
- What type of statistical problem is this?
- Which method should be used?
- Why is this method appropriate?
- What does the final result mean?

I have several years of experience teaching students from Swiss and international education systems and regularly support students in Statistics, Mathematics, Probability and Data Analysis.

Topics can include:

- Descriptive statistics
- Mean, median and mode
- Quartiles
- Variance
- Standard deviation
- Probability
- Conditional probability
- Tree diagrams
- Combinatorics
- Permutations and combinations
- Random variables
- Expected value
- Binomial distribution
- Normal distribution
- Sampling
- Sampling distributions
- Central Limit Theorem
- Confidence intervals
- Hypothesis testing
- p-values
- t-tests
- Chi-square tests
- Covariance
- Correlation
- Pearson correlation
- Linear regression
- Regression equations
- R2
- Data interpretation
- Statistical modelling
- Business Statistics
- Quantitative Methods

I can support students preparing for:

- IB Mathematics AA
- IB Mathematics AI
- IB Probability and Statistics
- AP Statistics
- SAT Math
- Swiss Matura
- Passerelle
- Fachhochschule Statistics
- University Statistics
- Business Statistics
- Economics Statistics
- Quantitative Methods
- Introductory Data Analysis

SAT Math preparation can additionally include:

- Algebra
- Advanced Mathematics
- Ratios and percentages
- Word problems
- Tables and graphs
- Data analysis
- Probability
- Geometry
- Trigonometry
- Desmos strategies
- Time management
- Faster problem-solving methods

For AP, FH and university students, we can go deeper into statistical reasoning and interpretation.

Lessons can include:

- Theory explained in simple language
- Step-by-step calculations
- Formula selection
- Exam-style questions
- Longer case studies
- Interpretation of statistical results
- Reading graphs and tables
- Understanding statistical output
- Improving mathematical notation
- Exam preparation

With regression, for example, we do not simply calculate correlation or R2. We also discuss what these values actually mean in the context of the question.

With hypothesis testing, students learn the complete logic from hypotheses to test statistic, p-value, decision and final interpretation.

My goal is to make Statistics feel logical, structured and manageable rather than like a collection of unrelated formulas.

Daniel

4.74

(27)

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.

Alexandre

4.74

(27)

Whether you're in a preparatory class for engineering schools (scientific track or business school), a bachelor's degree, an engineering school, or a master's program, higher-level mathematics moves quickly, and a poorly understood concept can hold you back from an entire chapter. This course is designed to help you truly understand, and then master, the material.

Graduate engineer from CentraleSupélec, eligible for the agrégation option probability-statistics (2026), I am preparing a doctorate in AI applied to automation and I have taught more than 400 hours at the university.

Each session is tailored to your needs: questions from the week, practice exams or midterms to prepare for, or a particularly challenging exercise. I begin with intuitive approaches (diagrams, concrete examples, sometimes a Python simulation), then we move on to more rigorous methods: definitions, key proofs, and the writing style expected in competitive exams. You then work through progressively challenging exercises and leave with a summary of the methods.

Areas of expertise: analysis, linear algebra, probability, statistics, financial mathematics and mathematical foundations of machine learning.