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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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5Students

Experienced statistics and econometrics tutor for foreign students in Istanbul. I have a PhD in economics from Georgetown University and I have a BA in economics from Bogazici University. Over the past 10 years I have worked as an Associate Professor of Economics and Finance in various universities and I tutored university students in various statistics, probability and econometrics courses. I have students from various universities in US and UK including American University, George Washington University, Nottingham University, King's College London, University of Bath, Northwestern University, University of Royal Holloway etc. Please contact me if you need help in any of your statistics and econometrics courses.

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7Students

► 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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14Students

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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7Students

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.