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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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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.

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(English follows) Hi! I'm a full-time data scientist with a master's degree in statistics, and my mission is simple: to finally make math and statistics understandable for you. I know math can seem abstract and useless. But in my day-to-day work, I use these concepts to solve real problems—and I can show you how those formulas you learn make sense in real life. Why choose me? ✅ I make it concrete: I explain to you what math is really used for with real-world examples (sports, video games, social networks, etc.). ✅ Patience guaranteed: I taught at the University of Montreal and tutored for 5 years—I know how to adapt to your pace. ✅ No judgment: You can ask any question, even if you think it's "stupid" (it never is!). ✅ Proven results: My students improve their grades AND their self-confidence! What I can help you master: SECONDARY (all levels): Algebra and equations Functions (polynomial, exponential, logarithmic) Geometry and trigonometry Probability and statistics Preparation for ministerial exams (CST, TS, SN) Catch-up and upgrading CEGEP: Differential calculus (MAT 103, NYA) Integral calculus (MAT 203, NYB) Linear Algebra and Vector Geometry (MAT 105, NYC) Statistics (201-301, 201-DUA) Quantitative methods And any other mathematics courses in natural sciences, humanities, and technology. How I work with you: 📝 Before the session: You send me what you don't understand (homework, lecture notes, past exams). 🎯 During the session: We identify exactly WHERE the blockage occurs. I explain using simple words and visual examples. You practice while I guide you. We'll check that you can do it again on your own. ✅ After the session: I can share with you a summary of the concepts covered and practice exercises with solutions. I offer support via message for small questions between classes. My approach: no shortcuts, real foundations I'm not just giving you the answers or "tricks" to pass the exam. I'm making sure you truly understand the concepts, because that's how you'll become independent and improve your grades sustainably. Flexibility and accessibility: Online or in-person sessions on the north shore of Montreal. Flexible schedule: weekday evenings and weekends. Affordable price if you are in high school or Cégep (I want to help, not bankrupt you!). I am a mathematics and statistics professional who has: A master's degree in statistics From university teaching experience. 5 years of experience in tutoring. The ability to simplify complex concepts. --------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- Finally UNDERSTAND Math Instead of Just Memorizing It Hey! I'm a full-time data scientist with a Master's in Statistics, and my mission is simple: make math and statistics actually make sense to you. I know math can seem abstract and useless. But in my daily work as a data scientist, I use these concepts to solve real problems—and I can show you how those formulas you're learning actually matter in real life. Why choose my tutoring? ✅ I make it concrete: I explain what math is really used for with real-world examples (sports, video games, social media, etc.). ✅ Patience guaranteed: I taught at Université de Montréal and tutored for 5 years—I know how to adapt to your pace. ✅ No judgment: You can ask any question, even if you think it's "stupid" (it never is!). ✅ Proven results: My students improve their grades AND their confidence. What I can help you master: HIGH SCHOOL (all levels): Algebra and equations Functions (polynomial, exponential, logarithmic) Geometry and trigonometry Probability and statistics Exam preparation Catch-up and leveling CEGEP: Differential calculus (MAT 103, NYA) Integral calculus (MAT 203, NYB) Linear algebra and vector geometry (MAT 105, NYC) Statistics (201-301, 201-DUA) Quantitative methods Other mathematical courses for any program! How I work with you: 📝 Before the session: You send me what you don't understand (homework, course notes, past exams) 🎯 During the session: We identify exactly WHERE you're stuck. I explain using simple words and visual examples. You practice while I guide you. We verify you can do it on your own. ✅ After the session: I can send you a summary of concepts covered and practice exercises with solutions. I also offer message support for quick questions between sessions My approach: no shortcuts, real foundations I don't just give you answers or "tricks" to pass the exam. I make sure you truly understand the concepts, because that's how you'll become independent and improve your grades long-term. Flexibility and accessibility: Online sessions or in-person in the Montreal area. Flexible schedule: weekend evenings and weekends. Affordable rates for high school/CEGEP students (I want to help, not break your budget!). Why trust me? I'm a math professional who has: A Master's degree in Statistics. University teaching experience. 5 years of tutoring experience. The ability to simplify complex concepts.

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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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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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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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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.

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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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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.