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Statistics lessons in Montreal

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I am an associate professor of mathematics, graduated from École Normale Supérieure and hold a doctorate in mathematics, with more than 22 years of teaching experience. Specializing in probability, statistics, data science, econometrics, optimization, and numerical analysis, I offer detailed private lessons adapted to your specific needs. Whether you are a student in preparatory classes, a bachelor's degree, a master's degree, an engineering school, or even a doctorate, I can help you master these complex and crucial areas. My commitment to teaching stems from my passion for applied mathematics and its essential role in data-driven decision-making. I believe that understanding probability, statistics, and data science techniques is crucial in our data-driven world. My goal is to make these materials accessible and fascinating, showing how they can be applied to solve real, complex problems. I am a patient, methodical and passionate teacher, with a student-centered teaching approach. My courses are designed to be interactive and engaging, using real-world examples, hands-on exercises, and real-world projects. I offer personalized support and adapt to the needs and goals of each student. My courses include: - **Fundamental Theories**: Detailed explanations of basic concepts in probability, statistics, and econometrics. - **Practical Applications**: Projects and case studies in data science and operational research. - **R software**: In-depth use for data analysis, visualization, statistical modeling, and optimization. **Skill Area Details:** - **Probabilities**: - Laws of probability - Random variables and their distributions - Probability theorems - Stochastic processes - **Statistics** : - Descriptive statistics - Statistical inference - Hypothesis testing - Linear and multiple regressions - Multivariate analyzes - **Data Science**: - Data preparation and cleaning - Data exploration and visualization - Predictive modeling techniques - Machine learning algorithms - **Econometrics**: - Econometric models - Time series - Analysis of data panels - Advanced regression models - **Optimization**: - Linear and non-linear optimization - Mathematical programming - Operational research - Heuristic and metaheuristic techniques - **Numerical analysis** : - Numerical methods for solving equations - Interpolation and approximation - Monte Carlo methods - Numerical simulation - **R software**: - Data import and manipulation - Advanced visualization (ggplot2) - Statistical modeling (lm, glm) - Specialized packages (dplyr, caret, forecast, etc.) **Writing End of Study Memoirs:** I also offer comprehensive assistance in writing final dissertations. Whether it is to structure your work, perform statistical analyses, or write specific sections, I am here to guide you and help you produce a high-quality dissertation. **Contact me :** If you are interested in private lessons in probability, statistics, data science, econometrics, optimization, numerical analysis, or to get help with writing your final dissertation, do not hesitate to contact me. I would be happy to discuss your needs and how I can help you achieve your academic and professional goals. I look forward to helping you excel in these fascinating fields and showing you how probability, statistics, econometrics, data science, and optimization can transform your understanding and use of data.
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