Private Lessons in Probability, Statistics, Data Science, Econometrics, Optimization, and Numerical Analysis with R SoftwareTranslate this text using Google Translate.
Private Lessons in Probability, Statistics, Data Science, Econometrics, Optimization, and Numerical Analysis with R SoftwareTranslate this text using Google Translate.
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.