Statistics, Applied Statistics in Health Science

A highly experienced Franco-Belgian teacher (ook in het nederlands!) offers private lessons in mathematics (including finance), probability and statistics, as well as physics, chemistry, and biology for secondary and higher education levels. For physics, chemistry, and biology, the instruction is tailored to the secondary level, specifically up to the 5th year of secondary education in Belgium. Whether you prefer lessons at your place, my place, or remotely, I am flexible to accommodate your needs. If necessary, I can travel to your home in Brussels, Walloon and Flemish Brabant, with a minimum duration of 2 hours per session. The lessons are designed to provide extensive practice with numerous exercises. Distance learning options are also available through platforms such as Skype, Facebook, etc. Please note that for students in France, only distance learning courses are provided. In mathematics, I specialize in various topics and frequently provide lessons covering the entire secondary school curriculum, including math 6 and higher. These topics encompass factorization, equations of the 1st and 2nd degree (with in-depth study of parabolas), limits, derivatives, integrals, exponentials and logarithms, as well as trigonometry. Additionally, I am occasionally called upon to teach analytical geometry in space, including equations of lines and planes. For statistics and probabilities, I provide instruction in descriptive and inferential statistics (univariate and bivariate), covering confidence intervals and hypothesis tests, applicable to secondary and higher education levels. Feel free to reach out to me to discuss and arrange the lessons based on your specific needs and availability. My aim is to help you enhance your skills effectively and provide personalized instruction. By tailoring the lessons to your requirements, we can ensure rapid progress in your studies.

When I was a young child, I believed I was not a mathematical person. It wasn't until I met an amazing teacher at age 15 that I discovered my mathematical genius and my life was changed forever. I'm eternally grateful to that teacher. My teacher knew that self-image and self-belief is the key to unlocking your child's mathematical abilities. Everyone is good at maths, but we all have different styles of thinking. Bad teachers teach every child the same way. My job is to find your child's style of mathematics and allow him to discover that for himself. When he discovers that, he will begin to enjoy the beauty and power of mathematics...and then you will see as the grades begin to soar. 👉Click the blue "Contact Oliver" button above and let's discuss how we can unlock your child's mathematical talents! 😊

Welcome! I recently completed a Data Science and Artificial Intelligence coding school following the successful completion of my master's degree from the esteemed University of Ghent in Belgium. With over 2 years of experience as a private Python tutor, I am well-equipped to assist you. My mission is to help you with statistics and data analysis for your projects. My courses are designed to cater to a diverse range of students, including teenagers, those in higher education or pursuing doctoral studies in sciences, as well as anyone interested in understanding statistics. I offer a flexible teaching approach that can be tailored to your specific needs. To ensure an effective learning experience, I kindly request a brief description of your objectives for the course. This will enable me to customize the content and adapt my teaching methods accordingly. Based on your requirements, my courses can cover the following topics: - Fundamental principles of descriptive and inferential statistics. - Various inference tests, including commonly used ones such as Chi-square, T-test, ANOVA, and linear regression, as well as more advanced techniques like multi-level analyses, structural equations, and data organization tools such as factor analysis and cluster analysis. - Practical application using statistical software such as SPSS, R language, and Python. - Engaging in practical exercises using provided data or your own dataset. - Regardless of your current level of understanding, I will focus on the specific areas that meet your needs and interests. I am committed to providing clear and comprehensible explanations to ensure your effective comprehension of the concepts.

Hello, my name is Akshaya, I am a 27-year-old graduate from KU Leuven. I love statistics and I hope to help others enjoy it the same way I do. A patient and kind yet the enjoyable approach to teaching catered to the specific needs of the student. Basics and fundamentals of the subject can be grasped in a few lessons so you can get great scores. By the end of the lessons, you will actually start loving the subject. If not, you'll tolerate it enough to pass haha! MBA graduate from KU Leuven with distinction, experience in tutoring Mathematics, Statistics and Research Methods. Skilled in statistical software like SPSS and Excel.

(FR/ENGL) Experienced and passionate tutor, my courses are primarily aimed at high school students up to the beginning of higher education. You are in the right place if you are looking to improve or fill gaps in mathematics or statistics. I adapt according to the situation and the objectives of the student, offering tailored pedagogy, as well as lively and interesting courses. • For home lessons (individual sessions or small groups), I can easily travel around Brussels. • The "at the teacher's" courses are held in a venue near the Free University of Brussels. • I can also offer courses online or in a "hybrid" format. Thanks to virtual teaching tools, enjoy interactive courses, no matter your location. Do not hesitate to contact me for any information; I would be delighted to help you. Looking forward to it, Ryan

I have acquired BSc in "Economics & Business Economics" in Maastricht University. I specialized in teaching game theory, microeconomics, macroeconomics and econometrics. Moreover, I have over 1 year of teaching experience. I focus on fundamentals using theoretical and real-life examples for the best understanding of the economic concepts. I also focus on application of the knowledge acquired to solidify the knowledge. These skills are important for passing standard exams and assignments. I cover various topics including: -IS/LM Models, Elasticity -Managerial Economics -Industrial Organization -Econometrics -Linear, Multiple and Logistic regression and time series analysis. -Give interpretations and predictions of regression analysis. -International Economics -Mixed Nash Equilibrium, Bayesian Nash Equilibrium, Double Marginalization, Prisoner's dilemma -Finitely and Infinitely Repeated Games, Extensive Form Games, Principal Agent Problems

The goal is to follow a student all year round and not just during his blockade. The goal is to explain and popularize the material through simple concepts. The student will have to practice in order to achieve the objectives, it is not a question of doing the exercises for them.

I am a 2nd master student in management sciences with a specialized focus (finance). I can help with math, statistics, economics and English. Personally, I think that success is possible only by having a good working method.

I am a Functional and Business Analyst with experience in UML, Data Analysis. I have two MBA's in information technology and international business management. My classes will be organized as follows: Questions from the students, Answers and background by me. Exercises for students.

Statistical engineer will help you read your memory or your thoughts in: economics, medicine, psychology, gestion, SPSS, STATA, views, Python, R Diploma in economics and statistical applications, with a great experience in foreign countries, helps you realize your projects: master’s memory, stage memory, doctor’s office, medicine, psychology education, etc. They propose to provide recovery and recovery assistance to the experimental party for the electoral project. I have a large experience in the statistical domain, analysis of données and economic applications. Messenger domains include: - Statistical description (Moen, variance, correlation, De Chi 2 test..) - Test moyenne comparisons and test the difference in ratio on the dependent Chantillon - Donut analysis: ACP, AFC, ACM and Classification - Economy: Régression line (MCO), panel components (effects fixes and effects aléatoires) model GMM, Séries temporelles (AR, MA, ARMA, ARIMA etc.) - Help and configuration SPSS, STATA, Eviews, R and Python - Possibility of travel according to distance - Helping in retransmitting memories and events

Student with a degree in political science, public administration and management, having taken advanced courses in statistics, in particular univariate and bivariate descriptive statistics (regression line), but also on probabilities, random variables, estimators and hypothesis tests, as well as as well as linear regression and principal component analysis (PCA), gives lessons to students at secondary level and higher at baccalaureate level. My methodology is based on a reminder of the essential points of the theory seen in class, the establishment of summary sheets, then the realization of exercises with the student to ensure that he understands the material. Teaching for 3 years of help in mathematics and statistics to students of secondary and higher level. Face to face or small group of maximum 3 people. The majority having obtained good results during their exams, they recommended me to their friends and acquaintances.

I have a Master degree in Business Economics at Solvay and I work as a consultant in risk management. During my free time I like to share my knowledge and help struggling students with quantitative subjects. My methodology is to understand what are the students' shortcomings, why they are created and finally the best way to solve them. My classes take place in a jovial and relaxed atmosphere conducive to learning where the student will feel comfortable. Possibility of teaching in French, English or Portuguese.

student in Mathematical Sciences and having already obtained a degree in Accounting, I am willing to provide any assistance needed to fill the gaps in Mathematics, Statistics and Accounting fields. I am available in Brussels on weekends.

I offer courses in mathematics, analysis, matrices, statistics, algebra, geometry and programming-oriented data analysis (Python) at secondary or university level (French, Belgian, European or international programs). A crash course and overview of essential needs for every student's case. I also help with homework and introduce new concepts. Respond to student questions. I favor a pedagogical and individualized approach. My goal is to help students and it is a complement to their school curriculum. No need to overload yourself with obligations.

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 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