Statistics lessons in Salford

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2 statistics teachers in Salford

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Jerome - Paris, France£95.09
Trusted teacher: Doctor in cognitive psychology graduated from the University of Strasbourg, holder of a master 2 of research in Biology and a master 2 professional in scientific communication, I propose courses of statistics (descriptive and inferential, theoretical and applied it is according to your requests) with a pedagogy and methodologies rigorous and personalized according to your needs and your potentialities. My courses are divided into 3 possible approaches: 1 / Theoretical courses / methods and practice 2 / Help with data analysis 3 / Through a scientific popularization approach and a rigorous and effective method (references available) to answer to the expectations of the students and to reach or exceed the objectives set, my courses are easy to understand and appropriate. I propose in addition a training on varied and targeted exercises as well as annals of examination to optimize your preparation. Thus, what seems complex, abstract and incomprehensible to you will become concrete, and you will be able to answer questions without hesitation. I also integrate a coaching method to optimize the learning and training necessary to pass the university exams in statistics. My courses are aimed at students in psychology but also from other courses (university, medicine, engineering schools, BTS, MBA, Business School, business school, international finance etc) wishing to optimize their performance and exam and contest scores. Teacher and trainer at the Universities of Strasbourg and Paris 8, ESSEC Business School, ISTH, IONIS Education Group, EEEA, Acadomia etc. I receive many requests from students at Paris 8 University (IED or not) Paris 5 and Nanterre because I am very familiar with the program and the expectations of the exam jury.
Humanities · Psychology (for students) · Statistics
Statistics · Physics · Math
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 4.7 out of 5 based on 34 reviews.

Math course, statistics, probabilities, algebras, analysis (Mons)
Simon est un professeur très pédagogue et patient. Il cerne très rapidement la "source" de l'incompréhension et réexplique avec une méthodologie assez simplifiée des principes théoriques relativement complexes. J'ai recouru à ses services pour mieux comprendre la matière des probabilités / statistiques de niveau Master. Du fait de son expérience avec les élèves du secondaire, il parvient à proposer un véritable suivi sur base de "devoirs" et de "leçons", très pratique pour les élèves ayant tendance à procrastiner.
Review by ANAH
Math / Statistics, Master graduate from EPFL & TUM (Lausanne)
Mila m'a aidé à comprendre des notions qui me semblaient difficiles grâce à des explications simples et des exemples faits en directs. Nous avons parcourus ensemble divers exercices ce qui m'a permis de voir avec elle où se situaient mes lacunes.
Help writing research paper and internship report (Alfortville)
Vraiment top! Compatissant avec mes diverses difficultés, patient et rapide à la fois dans les aides proposées, permet de faire un bond monumental dans une situation qui me semblait désespérée! Merci beaucoup!
Review by MICHAEL