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Discover the Best Private Computer programming lessons in Molenbeek‑Saint‑Jean

For over a decade, our private Computer programming tutors have been helping learners improve and realise their ambitions. With one-to-one lessons at your home or in Molenbeek‑Saint‑Jean, you’ll enjoy high-quality, personalised teaching that’s tailored to your goals, availability, and learning style.

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50 computer programming teachers in Molenbeek‑Saint‑Jean

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50 computer programming teachers in Molenbeek‑Saint‑Jean

(1 review)
Moad - Brussels33€
33€Enjoy Mathematics and Computer Science - For All Skill Levels and Ages!
Trusted teacher: 🔵 Core principle: The main criterion is to answer your questions in an interactive atmosphere and not to offer you an academic course! I offer you the first session of the course and adapt my formula according to your needs. 🔵 Profile: specialist in Mathematics and Computer Science (Engineer with double competence), experienced Data Scientist (with 4 years of experience), Research Assistant at the University of Luxembourg and future PhD student in Artificial Intelligence at Polytech Mons, I started tutoring, mainly in Mathematics, and a little in Computer Science when I was doing the preparatory classes MPSI-\ MP in 2013. Since then, I have had students of all levels - junior high school, Bachelor, Master - which has allowed me to improve my working method over time. I like the idea of being able to help students in difficulty, and it is a personal satisfaction to see a student's progress because it makes me useful. 🔵 My methodology will be as follows: I will explain abstract concepts (in the first few sessions), give you some suitable exercises, and leave you with exercises to do covering the challenges you encounter which we will solve together in the following sessions. I will also send you teaching material to accelerate your learning (summaries, videos, personal notes, websites, recommendations of relevant free courses, etc.).
Math · Computer science · Computer programming
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Mattia - Brussels72€
72€Econometrics & Statistics (R, SPSS, Eviews, Gretl, Stata) for master thesis and assignments
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 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 · Economics for adults · Computer programming
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Our students from Molenbeek‑Saint‑Jean evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Molenbeek‑Saint‑Jean to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.8 out of 5 based on 11 reviews.

Enjoy Mathematics and Computer Science - For All Skill Levels and Ages! (Mons)
Moad
Thank you, Moad, for being an outstanding teacher! Your dedication and passion for teaching have truly made a difference in my education. I appreciate all that you do to make learning fun and engaging. You are a true inspiration to your students!
Review by ENRICO
Cours particuliers en programmation orienté object Java (Anderlecht)
Akrem
Mr. Akrem is a great teacher with patience and experience. He makes sure I as a beginner understood the basis of algorithms and how things work before actually coding which is a great thing.
Review by QUANG
English Language and Grammar for all classes of students and for TOEFL IELTS GMAT GRE and Computer Progam (Word, Excel, Powerpoint Internet. (Ixelles-Elsene)
Suranjit
Mr Suranjit is a really a helpful teacher and understandable.
Review by CHRIS

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Computer Programming in Molenbeek‑Saint‑Jean