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Do you need professional support for your quantitative data analysis? I offer you a personalized service, adapted to your academic or professional needs. Whether you are a student, researcher, consultant or professional, I put my expertise at your disposal to help you: Prepare and organize your databases, Perform reliable statistical analyses with R, Stata, SPSS... Interpret your results rigorously, Present your work in the form of clear reports, graphics and publications. Each project is handled with rigor, pedagogy, and confidentiality. You benefit from tailored support, whether for a professional assignment, a dissertation, a thesis, or a publication. For those who wish to train in parallel, I have also designed a complete course to learn how to explore, manipulate and analyze your data independently.

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3Students

I teach mathematics, statistics and economics, for primary and secondary students, and for students in economics and management, management engineering, and social sciences. I can help you with descriptive statistics, probability statistics, inferential statistics, and econometrics. We can also work in general economics, macroeconomics, macroeconomics, etc...

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As a PhD student in AI, I am able to provide basic training in Python programming and the use of data analysis and artificial intelligence methods.

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If you are a student or parent of a student in upper secondary school and you are having difficulty with your mathematics lessons, I can help you! Secondary school mathematics courses do not always provide the time students need to truly understand the theory before applying it. I can help you take the time to understand this theory and what lies behind it, make some sense of what you are doing in mathematics and what use it is for in future life. I can also simply accompany you during exercises, offer you increasing difficulties and help you understand your mistakes to implement a work or study method.

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I am a master 2 student, I am doing the double engineering degree at HEC and Gramme. I am very comfortable with the youngest in primary school as well as with the oldest in secondary school. My goal is to answer students' questions in a simple way with lots of examples. Indeed, understanding the material in depth by these means is essential to be able to adapt to the different questions on the day of the test or the exam.

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Graduated in 2016 as a management engineer (with great distinction) and currently data analyst, I like helping others and sharing my knowledge. That's why I teach math / statistics. The lessons are mainly aimed at high school students but I obviously adapt to the level of the student. I also give lessons to learn how to use the Office suite (power point, excel, word). Finally, I can reread graduation papers and challenge the work accomplished.

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During this school holiday period, it's time to rest and relax, but be careful not to let yourself go too much because for some this period also rhymes with remedial exams and/or summer homework. Do not panic! With my 3 years as a private teacher I realized one thing, with motivation and a little goodwill, no goal is impossible to achieve (and especially not in math ;)). That's why I try to make my lessons as interactive as possible, lessons where the student just takes notes have very little meaning for me. Thus, I can precisely target the difficulties of the student. Each student is different, which is why my classes are specific to each student, to their needs and desires. Of course, I love working in a good atmosphere and in a good mood so with me no stress ;) Thanks to my civil engineering diploma, I have the skills required for courses/support in mathematics at the primary, secondary, higher and university levels, but also for preparation for the civil engineer entrance exam. Do not hesitate to call me to discuss it and find a solution!

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13Students

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.

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5Students

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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► 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.

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13Students

Do you have a statistics or probability exam in BA1/BA2? I can help you review the material in a clear, structured and exam-oriented way. I support higher education students (university and college), particularly in their first and second years of undergraduate studies, to understand important concepts, redo practical exercises, and practice with exam-style questions. My goal is simple: to help you understand the logic behind formulas, know when to use them, recognize correct reasoning in a statement, and gain autonomy when facing exercises. Subjects covered according to your program: • Descriptive statistics: mean, median, variance, standard deviation, quartiles, quantiles, coefficient of variation, box plots, histograms, graphs, interpretation of tables and data. • Univariate and bivariate statistics: analysis of one variable, analysis of two variables, scatter plots, covariance, correlation, regression line, coefficient of determination, interpretation of relationships between variables. • Probabilities: events, union, intersection, complement, conditional probabilities, independence, Bayes' theorem, probability trees, contingency tables. • Combinatorial probabilities: permutations, arrangements, combinations, draws with or without replacement, counting, classic exam situations. • Random variables: discrete and continuous variables, probability function, density function, distribution function, expectation, variance, standard deviation, variable transformation. • Probability laws: Bernoulli distribution, binomial distribution, normal distribution, standard normal distribution, Student's t-distribution, chi-square distribution, use of statistical tables according to your course. • Statistical inference: sampling, estimators, point estimation, confidence intervals, margin of error, degrees of freedom, confidence level. • Hypothesis testing: null hypothesis H0, alternative hypothesis H1, significance threshold, p-value, one-tailed or two-tailed test, test on a mean, test on a proportion, chi-square test, interpretation of results. • Exam preparation: reading statements, choosing the right method, identifying the formulas to use, typical exercises, past exams, guided corrections and problem-solving methods. Method of working : 1. We quickly identify the chapters that are causing problems; 2. I re-explain the theory with simple examples; 3. We redo the important exercises together; 4. I will show you how to recognize good reasoning in the exam; 5. We construct a clear method that can be reused independently. I don't just provide a correction: I explain the reasoning step by step so that you are able to redo the exercises without help. For students retaking the exam, I also offer more intensive support: level assessment, priority identification, review of fundamentals, and practice with typical exercises and past exams. The goal is to get straight to the point and work efficiently within the time available before the exam. I have been giving private lessons for over 7 years in mathematics, statistics, economics, and accounting. I have also tutored first and second-year Bachelor's students at Solvay/ULB in mathematics, statistics, and microeconomics as part of a university tutoring program. My professional experience in finance and business controlling at Deloitte has also allowed me to develop a very structured approach to numbers, analysis and problem-solving. Courses available in French or English, online or in person in Brussels or the surrounding area.