Statistics lessons in Zawyat An Nwaçer

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10 statistics teachers in Zawyat An Nwaçer

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10 statistics teachers in Zawyat An Nwaçer

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Trusted teacher: Professor and doctor of psychology and cognitive neuroscience graduated from the University of Strasbourg (holder of a master 2 research in Biology and a master 2 professional in science communication), I offer private lessons in psychology (cognitive, social, developmental psychology, neuropsychology, etc.), neuroscience as well as statistics (theoretical and applied to experimental protocols) with a personalized methodology according to the needs and potentialities of each student. Thanks to a rigorous teaching approach, specific and adapted to each request, I propose an effective methodological aid (available references) allowing to answer to the waitings of the students and to reach or even exceed the fixed objectives. My classes also integrate a coaching method to optimize the learning and training necessary to pass university exams in psychology, neuroscience and statistics (as well as your oral exams with or without powerpoint support). My courses are aimed at university students, engineering schools, BTS wishing to optimize their performance and exam and exam scores (courses in psychology, neuroscience, medicine, etc.). I receive a lot of requests from students from Paris 8 University (IED or not), University Paris 5 and Nanterre because I know very well the program and the expectations of the jury for the research paper. Schools, Universities and teaching institutes offered: ESSEC Business School, Universities of Strasbourg and Paris 8, ISTH, IONIS Education Group, EEEA, Acadomia etc.
Cognitive psychology · Database · Statistics
Trusted teacher: 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
Statistics · Finance · Financial markets
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 19 reviews.

🚀EVERY CHILD IS A MATHS GENIUS | British Tutor 🇬🇧 (Barcelona)
Oliver is such an excellent math tutor. Both my kids (8 and 12 years old) are enjoying their weekly math lessons with him. He makes learning fun and easy …. Oliver even gave my son a rubik cube as a present!. I would definitely recommend him to anyone who is struggling with math!
Review by VICTORIA
Statistics / R programming / Mathematics -- Master graduate from EPFL & TUM (Romanel-sur-Lausanne)
She is such a great teacher. She is super prepared, math expert, great in R and statistic and incredibly helpful. On top of this, she is also a very nice person. I was very happy to meet her and get all the help I was looking for.
Review by ANDREA
One-on-One Online tutoring in Finance, Economics & Accounting from High School to Masters level & CFA, FRM
Dr S Iyer
Very nice, respectful and knowledgable tutor. He is very helpful and is able to teach with full clarity and helps you as a student to fully understand the concepts and problems. 11/10 would recommend!
Review by VEDANT