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Being in the 1st year of a Masters in robotics at EPFL, I have followed mathematics courses (with in particular analysis, linear algebra and probability-statistics) since the first year. I passed a scientific baccalaureate in France. In the last semester, I assisted in the series of the 2nd year course in probability and statistics at EPFL, which made me want to give private lessons in mathematics ever since. I therefore offer these courses for high school students up to Bachelor students at Unil or EPFL for example.

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The methodology is the key to success for a student in the first year of medicine at the University of Geneva. It must be understood that this methodology is based on a fine balance between "being systematic", (ie ensuring all learning objectives) and "being effective" (ie working on the topics that most often come under discussion). In terms of science learning, I base my courses entirely on multiple-choice questions of two types: -Quest instructional questions: the goal is to check your understanding of the learning objectives; -question "type" exam: to prepare you for the level of difficulty required and get used to answer questions in 2 minutes on the day of the exam. In addition to tutoring I also offer courses in e-learning on my platform exa-MED tutoring. These recorded courses are available from 10CHF / hour and published every Sunday for you to test yourself on the SFO and SMB courses of the week! It's your turn!

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MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl. Covering university courses all around Europe: Italy, United Kingdom, France, Germany, Spain, Portugal,... Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

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Python is currently a very popular data analysis tool that can be used in every field. In this class, I can teach how to use Python and the basics in statistics for the usage of its many libraries. This class can be given in english or french. Python est actuellement un outil d'analyse de données très populaire qui peut être utilisé dans tous les domaines. Dans ce cours, je peux enseigner comment utiliser Python ainsi que les bases des statistiques pour l'utilisation de ses nombreuses bibliothèques. Ce cours peut être donné en anglais ou en français.

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The course is organized in financial accounting, statistics and macroeconomics for HEC. Courses in linear algebra, analysis and mathematics for those at EPFL. As well as physics courses for those who are in medicine.

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Hello, After a master's degree in finance, I am currently passing the American diploma of financial analyst CFA. I am planning my schedule so I can give child / adolescent support classes at the times that are convenient for them. I give small lessons for 10 years, whether for children or young adults (Bachelor HEC) Do not hesitate to contact me, I move on the canton! Bonnie day Alexandra

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Graduate HEC Lausanne, teaches university tutoring in finance statistics and economics I am very patient and have good listening skills. Depending on the student I can adapt my speech, my methodology and my examples to be as effective as possible I have a long experience in teaching several subjects and in several languages

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EducPourTous offers support classes for all primary and secondary school students, as well as students from universities, colleges of higher and technical education and universities in Statistics, Accounting and Finance, Mathematics, Physics, Chemistry, Computer Science and several other teaching disciplines. Classes are taught by carefully selected professionals who meet strict quality standards to ensure the desired success. We offer individual and group support courses, at home, on our premises, by videoconference or by correspondence.

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University professor for 6 years in mathematics and current engineer in machine learning offers an individualized pedagogy, assistance with the preparation of questions or exams. My goal is to advance the student without overburdening him. I give homework after each lesson and periodically provide progress reports.

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Hey it's Jad, specialist of education in Switzerland. In 2014 I started an assistant work for the first year at EPFL. During these years of assistantship I realized how much I appreciated teaching. In particular, I discovered a real passion for the learning process. After completing my master's degree in mathematics at EPFL, I started a master's degree at the HEP (2016/2017) to become a teacher in secondary II (high school) that I have not finished. Indeed, this year was a sort of disappointment in the sense that gym and public education did not fit my vision of teaching. Since the beginning of 2017, I have embarked on school / university coaching based on modern concepts (which are taught nowhere in Switzerland) such as motivation, self-efficacy, memorization, creativity and management. emotional.

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Experienced and specialised tutor prepares students for Edexcel AS, A Levels and IGCSE exams in Mathematics, Statistics and Physics. GUARANTEED SUCCESS WITH 15% REFUND IN CASE OF FAILURE (*)!!!! A little about myself and my background: I am graduate of the Department of Mathematics of the Aristotle University of Thessaloniki, Greece. For the last eight years, my passion for the field that I studied and the will to share it with others, the joy to connect with, guide and evolve people, had temporarily set the potential for a career as a teacher. I found extremely rewarding to teach high-school children and provide supporting education to university students in Math, Physics and Chemistry. All my students had 100% in their exams and today they continue their education dream in the university of their choice. Since I was offering private lessons I had the chance to bond with every single student, to build trust and inspire admiration of the subjects which led to continuous improvement and achievements. This ability and the excellent feedback of the students and their parents drew the attention of a supportive education night school that offered me a permanent role as a teacher. From 2017, I live and work as a teacher in a Private School here in Zurich, Switzerland. I am exciting for this position, because I believe it utilizes the knowledge and technical skill set that I obtained and at the same time improve my soft skills, test my limits and provide me with valuable professional experience. I strongly believe that the most important part of a science class is for the student to understand the reason behind and this usually can easily be succeeded with real-life examples. Every student is different and the teacher needs to adapt the class to his needs, strengths and weakness. (*) The student will be given an evaluation test in the beginning of the class to prove his level and background. Depending on his level, given personal preparation and good collaboration with the tutor the corresponding exam success is guaranteed.

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I am a student in a Master of Financial Engineering at EPFL and have a Bachelor in Mechanical Engineering as well as a Master from Ecole Centrale Paris. I did my primary and secondary studies at the Lycée Français in Brussels and then in Tunis, and obtained my bac with honors in the scientific section (Mathematics specialty). For information, I am tutor in Mathematics for first year EPFL (MAN 1A) and in Probability and Statistics for second year EPFL. I also helped several students in their preparation for the scientific baccalaureate / maturity (Math / Physics). I was thus able to develop a pedagogy adapted to the needs of each.

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15Students

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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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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1Students

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.

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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.