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Computer programming lessons in Utrecht

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9 computer programming teachers in Utrecht

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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This course is tailored for IGCSE Computer Science and ICT students who want to master all the key topics in their curriculum. With a focus on practical programming skills, theoretical computer science concepts, and hands-on problem-solving, this class will guide you through the essential topics covered in the IGCSE syllabus. Learn the fundamentals of data representation, hardware and software, databases, and Boolean logic, and then build on those concepts with programming and algorithm design. Gain a deep understanding of the inner workings of computers and their applications in real-world scenarios. By the end of this course, you will have a solid understanding of key computer science concepts and the practical skills to succeed in your IGCSE exams and beyond. What You’ll Learn: Data Representation: Learn how computers represent and process data, including binary, hexadecimal, and conversions between number systems. Data Transmission: Understand how data is transmitted over networks, focusing on packet switching, USB, and data packets. Hardware & Software: Gain a foundational understanding of computer hardware components and the role of software in running programs. Boolean Logic: Explore logic gates, truth tables, and Boolean expressions, and apply them to solve complex problems. Algorithm Design: Learn to design algorithms and solve problems using effective computational methods. Programming: Master the basics of programming with hands-on coding in Python, C++, and C#. Databases: Understand database structures, SQL queries, and primary keys. Build single-table databases and learn data management techniques.
Computer programming · Computer science · Database
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Our students from Utrecht evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Utrecht to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 41 reviews.

Mastering Web Development: From Fundamentals to Advanced Techniques (Tunis)
Oussama
I have no prior experience in this area and I took lessons with Ousamma. He has enough patience and a knack in guiding you step by step through the lessons and exercises in a very simple way to understand them well. He is an invested teacher that is kind and polite. He will help you to develop your abilities and to feel confident in order to achieve your goals. I warmly recommend him and extend my gratitude his great support throughout my learning journey.
Review by BEN
Python, SQL and/or Machine/Deep Learning Classes at your place or Online! (Lucerne)
Benito
I highly recommend Benito as a teacher for Machine Learning and Python! Benito is very patient and has exceptional teaching skills, which combined with his expertise in both theory and practical applications makes every lesson very enjoyable. He explains complex machine learning topics using real-life examples, ensuring that learning is comprehensive and intuitive. Top!
Review by HURIYE
Python, learn how to think and build effective code (Utrecht)
Kelly
Kelly is a lovely person and great teacher. I had a number of classes with her online via Zoom in order to get help with a beginners level Python data analysis course I was doing. I would not have gotten through the course without her patience and help in explaining different concepts. I highly recommend her as a tutor if you are struggling with coding!
Review by ELLA