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Hey! I graduated bachelor's at the Fcaulty of Mathematics in Romania and now I am doing my master's degree in Data Science field. I have some experience in teaching math for over 4 years and I have also graduated the Pedagogical Module. The lessons can be online or onsite, as the student prefers. More than that, I also offer help outside the classes.

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Personalized teaching according to the needs and requests of the student. During the first contact, we will establish together the objectives of the course, and will review the material already covered in order to identify the points to be deepened. My teaching method includes a lot of metaphors and real life examples in order to give the student some intuition of the material, which allows to put the theory in its context and therefore to understand it more easily. My courses are aimed at all secondary or higher education students, with a preference for subjects ranging from secondary 4 to the end of the bachelor's degree.

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This course will introduce you to the world of computer programming. We will start with very basic of how the computer system works. Then we will explore how you can instruct a computer to perform some simple tasks for you using simple English algorithms. From there we can slowly start with a real-world programming language like JAVA. At the end of the course, you can expect yourself to write small programs for simple tasks.

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I believe everyone can learn everything when the quality of explanations is individually tailored to their unique cognitive style and mind’s shape. My method is based on establishing empathy and gaining a deep understanding of how my students’ brains work. Through my experiences, I've learned that no topic or subject is inherently difficult to comprehend, as long as the teacher can present it in a manner that fits the individual's mind scheme. As a teacher and educator, my primary objective is to attain effective communication, thus fostering a genuine understanding of the subject through a plethora of real-life cases and examples.

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Graduated from a French engineering school (ENSTA) and holder of a master's degree in probability from the University of Paris VI, I can assist you in learning Python, from the basics to the deepening, through school support and upgrading / exam preparation. And this for: - programming in general, - advanced algorithms - datascience (including machine learning). I hope to see you soon !

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Mathematics teacher for 16 years, I have taught in several international establishments (France, Belgium, Netherlands, Germany, Egypt, Morocco), at all levels (secondary and higher education). I have often supervised and coached students outside the professional framework and know the students' needs well (organizational difficulties, drafting and reasoning problems, understanding of course concepts). METHODOLOGY: I favor an intuitive and popularized approach to abstract notions, supporting them with digital illustrations and animations to better understand them (especially between the 3rd and the 6th). Before starting a course, I generally take stock of the difficulties and do not hesitate to go back to previous notions in order to consolidate them. I also offer methods and tips to solve the basic exercises but also to learn to consider solutions for more complex exercises.

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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.

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I have been giving math, computer science and English lessons for 12 years for all levels (primary and secondary, from 8 to 19 years old). I currently work in a telecommunications company as a robotics engineer. Therefore, I can easily provide feedback on the application of the theories covered in class. Listening, patient, each session is broken down as follows: a reminder of the course, an explanation of the methodology on "classic" exercises, tips and tricks and several practices. Objective: An understanding of the course, methodologies and a perfect application in routine. Depending on the student's interest, I also relate these areas to daily life and certain professions in order to provide a new perspective on maths and computer science.

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I specialize in tutoring. I have a great passion for teaching Programming Languages, Arabic Language, Graphic Design via Photoshop. My lessons are directed even for those who do not have any background. A brief summery of what you can learn: Programming from scratch: (JAVA,C++,C #, C, Python, Matlab, Haskell, Pascal, Android, Machine Learning, Neural Networks, Artificial Intelligent). Graphic design (Photoshop) Languages(Arabic) Web Development: (PHP, JavaScript, HTML5, CSS3). Software (Word, Latex, Excel, Power Point ... etc).

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I specialize in applied computer science to artificial intelligence and machine learning. If you wish to learn a programming language from beginner level to advanced, then I can help you reach that goal in any of the languages: Python, Java or C++. In addition, once we've tackled advanced levels of the language, we can proceed to topics on artificial intelligence and machine learning that are essential skills in the market today.

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I give courses in basics, macro graph at any level. I am independent consultant with 5 years of experience

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I am a computer science student at the Polytechnic Faculty of Mons. Alongside my studies, I have enriching experience as a private teacher, providing courses in various fields such as databases, programming, artificial intelligence and cybersecurity. Here is a concise summary of some significant projects I have completed: Secure connected sensor system - Collaborative development with Polish students to create a secure and connected sensor network. Full Stack Development for EasyTrip - Website design for a fictional company specializing in travel planning. Optimization of vehicle routes for IT - OPTICS - Participation as a developer in a team of 17 students, working on route optimization for a real client. Creating AI for Financial Transactions – Development of artificial intelligence capable of executing financial transactions based on stock market fluctuations. Business project for PARASOLAR SA - Participation in the Business section for a connected parasol project and carrying out a financial analysis. Civil Engineering Entrance Exam Training - Providing training to help students pass the Civil Engineering Entrance Exam. Middle school tutoring - Supervision during remediation sessions for high school students. These varied and enriching experiences demonstrate my commitment, my versatility and my passion for IT as well as for teaching.

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I am a computer teacher in a higher school, so I can create a course that meets your needs. I can also follow the subjects you see in class. I teach algorithms and languages: Python, Java, C, C ++, SQL, UML, ASM, Bash, PHP. I also support the realization of projects on PC and microcontroller.

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🔵 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.).

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Are you having trouble with your programming classes? Have you always been intrigued by programming, but don't you dare take the plunge on your own? Do you already have basic knowledge, but want to improve your level? So I can help you with your goals. I adapt to your individual needs and experience level. With 10 years of scientific research and holder of a doctorate in Geographical Sciences from the Free University of Brussels, I have been using Python for several years for the automation of data collection and processing, in particular the processing of satellite images with Machine Learning and Deep Learning tools. Why Python and not another programming language? • Among the various programming languages, it is probably the one with the simplest and easiest to understand syntax, which makes it an ideal language for beginners. • It is one of the most popular programming languages and the demand for professionals with Python skills is high. Many industries, including technology, finance, and healthcare use Python extensively. • It is a versatile language that can be used for many applications like scientific computing, data analysis, artificial intelligence, etc. Different formulas are possible: • Help with success for students having difficulties with their programming courses. • For people with basic knowledge of Python: ◦ Take it to the next level with object-oriented programming. ◦ Introduction to the highly sought-after field of Data Science Data with Python

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Mathematics is a powerful subjects which has its applications in mostly all the fields like engineering, finance and moreover. In this class you will be able to overcome your fear in Mathematics by having simplified lectures in mathematics field lsuch as algebra and calculus. Moreover you will have detailed explanations in subjects programing, more precisely in python and java, which are useful tools for a good career development.

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I will teach English Language Learning with spoken, Written, Reading and Listening with very short techniques and some rules which I have invented. I will teach how to speak and write easily with authentic Rules. I will give homework and teach how to pronounce accurately and how to learn idioms and Phrases and vocabulary which will enhance the skill of English and you will be astonished to see yourself. You will be prepared for IELTS and TOEFL also. I can also teach in Computer Program (Microsoft Office, Excel, Access, Power point, Visual Basic, Internet etc)

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Algorithmic and programming course for students or professionals of any level. Possible themes (not exhaustive): - Data structures - Advanced algorithms - Data analysis. Pandas / Numpy / Matplotlib - Using API - Creation of web applications in Python with Flask) + Javascript / CSS / HTML / Jquery initiation etc ... - Performance search, Python code compilation in C, code optimization - Monte Carlo simulations - Using an Azure environment (Databases, azure functions, virtual machine, etc ...) Possibility of giving more intensive courses to prepare exams.

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Intensive CEB AND CE1D preparation 1- Answer the student's questions (course points, exercises and corrections given in class) 2- Assess the student's comprehension (direct questions, direct application exercises, quizzes, validation of the student's cards) 3- Verification of the work required of the student 3-a- Identification of possible misunderstandings 3-b- Detailed explanation of questions not included 3-c- Correction of possible errors 3-d- Tips solving method and tips 4- For all the exercises done together, the student is strongly encouraged to do everything again alone and to write them cleanly. The pupil is also called upon to note any difficulties encountered as well as the time devoted to each exercise. This approach aims to: 4-a- Validation of assimilation 4-b- Editor's rating 4-c- Evaluation of effectiveness (speed, absence of errors, etc.) 5- Summary item - Minutes of the meeting 5-a- What was done during the session 5-b- What the student could remember 5-c- What the student should do for the next session

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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