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Machine Learning and Data Science are very advanced fields and, as such, in fashion. They are major tools for any new technology and the school is lagging behind in teaching these skills. In addition, these skills are theoretical as well as practical skills, and the multiple online courses focus on practice, forgetting that companies are not only looking for performers, but also experts in the intelligent use of these tools. Having advanced theoretical training in this field, along with more than 2 years of field experience in information programming associated with machine learning, I propose to teach you this subject, both theory and practice, at the option of courses combining the two aspects of the thing.

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20Students

Many students lose confidence in math over the school year - not from lack of ability, but from pace, gaps, or one bad unit that never got resolved. This summer program (through mid-September) is built to fix that before the new year starts, not just review generally. I work with middle and high school students, including IB, to close specific gaps not a broad refresher, but targeted work on exactly what's holding a student back. I bring the same structured, evidence-based approach I use with my university-admission students: identify precisely what's missing, build a plan around it, and track real progress, not just hours logged. Best for students who want a calm, focused reset before the new academic year begins not for open-ended tutoring with no target

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14Students

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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6Students

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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9Students

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.