Trusted teacher

Doctor in applied mathematics, normalien, university teacher since 2004, super experienced in private lessons. I give private lessons in: mathematics, analysis, algebra, geometry, arithmetic, probability, statistics, measurement theory, integral calculus, linear regression, differential calculus, differential equations, numerical analysis, mathematical logic... I give my lessons in French or English. You need regular or occasional support, I intervene to answer your questions, diagnose your shortcomings, review and improve your working method, prepare well for your exams and competitions, save time, energy, have more confident and excel..

Trusted teacher

◾ Tools RStudio • SQL • SPSS • SAS • Jamovi • JASP ◾ Statistical Methods & Tests Student's t-test • ANOVA • MANOVA • ANCOVA • Regression (linear & logistic) • Correlation • Chi-square • Nonparametric tests • PCA • MCA • Exploratory factor analysis • Classification / Clustering • Mediation • Moderation • Interpretation ◾ Data analysis & decision support - Data preparation, structuring and validation using SAS, R and SQL - Descriptive, exploratory and multivariate statistical analyses on business data - Production of performance indicators and actionable analyses to support decision-making ◾ Selection and implementation of methods - Preparation and structuring of databases - Hypothesis testing and univariate, bivariate and multivariate analyses (ANOVA / ANCOVA) - Linear and logistic regressions - Factor analyses (PCA / MCA) - Mediation and moderation models - Classification / clustering 1) Academic support - Lectures, tutorials, projects and assignments in statistics - Help in understanding and interpreting the results - Preparation for exams and academic presentations 2) Statistical analysis - Descriptive statistics (univariate and bivariate) - Multivariate analyses - Data exploration and outlier detection 3) Statistical tests - Correlations (Pearson, Spearman, Cohen's Kappa) - t-tests (one and two samples, independent or paired) - Chi-square, binomial tests - z-scores and associated indicators 4) Statistical modeling - Linear regressions (simple and multiple) - Logistic regression - Interpretation of coefficients, diagnostics and validation of models 5) ANOVA & ANCOVA - One- or multi-factor ANOVA - Repeated measures ANOVA - Fixed and random effects - Post-hoc tests and effect sizes 6) Factor analyses - ACP / PCA (scree plot, factor scores, matrices) - Exploratory factor analysis - Factorial rotations - Validation and interpretation of structures and clusters ◾ Reporting & communication - Clear, structured and concise reporting of results - Visualizations tailored to decision-makers - Support for strategic and operational decision-making

Trusted teacher

4 years of experience in teaching Accounting and Finance as private tutor. Phd candidate in Accounting from Paris Dauphine. CGPA of 3.9/4.0 in BBA (Hons). Last but not the least 1000 plus hours of experience working as a data analyst at Upwork.

Trusted teacher

I offer courses in data development / database / machine learning / data science (python): I also offer the possibility of helping you with the realization of your academic projects. We support you in the Data development of your business. -1- Databases & Data warehouses (AWS / Google Cloud / Azure Cloud) -2- Machine Learning -3- Deep Learning (tensorflow, pytorch, RNN, CNN, LSTM) -4- Data Processing -5- Machine Learning design and deployment (docker, ...) -6- Data Pipelines -7- Google Sheets with Realtime Pipelines, Macro (VBA) & Database Connection -8- Online dashboards on browsers or on your Excel, Google Sheets (Python, R, Power BI, Tableau, Kibana, etc.) - Our Tech Stack - - Databases: AWS DynamoDB, Amazon Redshift, PostgreSQL, MySQL, multi-cube DBs (EPM / BI platform) - Languages: Python, Spark (Scala, Python, Java), JavaScript, CSS, HTML - Development environment: JSON, SQL, NoSQL, Bash Shell Scripting, Jupyter Notebook, Anaconda, REST API, VSCode, DBeaver, Google services, Platform as a Service (PAAS), Apache Airflow, Serverless Computing, SublimeText - Clouds: Amazon Web Services, Azure Databricks, Google GCP (Google Firebase) - Data Lake AWS / Databricks: EC2 (Linux), IAM, Amazon MWAA (Managed Workflows for Apache Airflow), Lambda, S3, DynamoDB, RedShift; Kibana, Azure Databricks, CloudFormation - Web crawling / Scraping: Python Scrapy - Data streaming: Airflow, Kafka - Data visualization / ETL: Python, Kibana, Tableau, Power BI & DAX, Excel Power Query (and lang.M) - Continuous integration workflows (CI / CD): Docker / Google cloud / Kubernetes; Amazon ECS) - Containerized applications: Docker (Docker container, Docker-compose) - Virtualization technologies: VirtualBox, Vmware - Agile tools: Version control (Git / GitLab), tickets (JIRA), Bitbukets, Trello, Wiki (Confluence), Jetbrains - OS: Linux, Windows

Trusted teacher

5Students

► EXPERT STATISTICS, DATA ANALYTICS, MACHINE LEARNING & AI TUTOR FROM SWITZERLAND ► UNIVERSITY, FOUNDATION, IB, A-LEVEL & INTERNATIONAL SCHOOL SUPPORT I completed my Master’s degree in Business Information Systems at a Swiss University of Applied Sciences, where my academic background strongly combined mathematics, statistics, data analysis, analytical thinking and problem-solving. This technical and data-oriented foundation shaped the way I teach today: clearly, logically and with a strong focus on real understanding. For many years, I have successfully supported students in Statistics, Data Analytics, Machine Learning and AI. My main focus is especially on Statistics — from basic descriptive statistics to advanced statistical methods, hypothesis testing, regression, probability distributions and interpretation of results. I mainly use R for statistical analysis, data handling, visualisation and practical exercises. My goal is not only to help students calculate results, but to make sure they understand what the results mean and how to explain them correctly. ► STATISTICS, DATA ANALYTICS & AI SUPPORT ► STATISTICS & PROBABILITY I help students understand descriptive statistics, probability, random variables, distributions, sampling, confidence intervals, hypothesis testing, p-values, correlation, regression and statistical interpretation. My lessons focus on explaining the logic behind each method, not just applying formulas. ► APPLIED STATISTICS WITH R I support students in using R for statistical analysis, data cleaning, visualisation, hypothesis testing, regression models and interpretation of outputs. Students learn how to connect theory, calculation, code and real meaning step by step. ► QUANTITATIVE METHODS & RESEARCH STATISTICS I help students with statistical methods used in business, economics, psychology, social sciences, science and university research. This includes choosing the correct test, understanding assumptions, interpreting results and presenting findings clearly. ► DATA ANALYTICS & DATA SCIENCE I support students with data preparation, exploratory data analysis, visualisation, dashboards, summary statistics and practical interpretation. The focus is always on understanding the data and drawing meaningful conclusions. ► MACHINE LEARNING & AI FOUNDATIONS For students working with modern data topics, I also provide support in the foundations of Machine Learning and AI, including regression, classification, clustering, model evaluation and practical applications. These topics are explained from a statistical point of view, so students understand the logic behind the models. ► UNIVERSITY, FOUNDATION & INTERNATIONAL COURSES I support students in Statistics, Data Analytics, Business Analytics, Quantitative Methods, Econometrics, Research Methods and technical modules. I help with exam preparation, assignments, projects and practical data analysis tasks. ► HOW I TEACH ► I FOCUS ON REAL STATISTICAL UNDERSTANDING. Statistics becomes much easier when students understand why a method is used, what the result means and how to interpret it correctly. ► I EXPLAIN FORMULAS STEP BY STEP. Difficult formulas, tests and models are broken down into simple, logical parts so students can follow the reasoning clearly. ► I CONNECT THEORY WITH R PRACTICE. Students learn not only the statistical theory, but also how to apply it in R, read the output and explain the result in proper academic language. ► I HELP STUDENTS CHOOSE THE RIGHT METHOD. Many students struggle with deciding whether to use a t-test, chi-square test, ANOVA, regression or another method. I teach students how to recognise the correct approach from the question or dataset. ► I TRAIN INTERPRETATION AND EXAM TECHNIQUE. Students learn how to structure statistical answers, write clear conclusions, explain p-values, interpret confidence intervals and present results professionally. ► I ADAPT EVERY LESSON TO THE STUDENT. Some students need help with theory, others with R coding, assignments, research projects or exam preparation. I adjust every lesson to the student’s exact course, level and goals. ► YEARS OF EXPERIENCE WITH STATISTICS, DATA & UNIVERSITY STUDENTS Over the years, I have successfully supported students from demanding academic programmes, helping them strengthen their statistical understanding, improve their analytical thinking and achieve excellent progress in Statistics, Data Analytics, Machine Learning and AI. ► ONLINE LESSONS ► Interactive whiteboard ► Clear digital notes ► Step-by-step statistical explanations ► R support for data analysis ► Exam preparation ► Assignment and project guidance ► Practical examples with real datasets ► Focused one-to-one support from Switzerland ► MY GOAL My goal is not only to help students pass exams or complete assignments, but to help them truly understand Statistics. With the right guidance, statistical methods become logical, practical and much easier to apply. ► SUBJECTS: Statistics, Probability, Data Analytics, Data Science, Machine Learning, AI, Quantitative Methods, Research Methods, Econometrics ► MAIN TOOL: R ► LEVELS: International School, IB, A-Level, Foundation Courses, University Modules, Professional Training ► FORMAT: Online tutoring from Switzerland ► FOCUS: Statistical understanding, R practice, interpretation, exam preparation, assignments, projects and long-term analytical confidence.

Trusted teacher

Calculus I, the first course in this extensive mathematics curriculum, teaches students the foundational ideas of limits, derivatives, and how to apply them to real-world issues including rates of change and optimization. Calculus III, which builds on this basis, introduces partial derivatives, multiple integrals, and vector calculus, extending these concepts into several dimensions. When taken as a whole, these calculus courses build the solid analytical foundation and spatial thinking abilities needed for further study in applied mathematics, science, and engineering. Students study Number Theory concurrently, exploring the complex patterns and characteristics of integers, such as primes, modular arithmetic, divisibility, and the classical theorems that form the basis of much of contemporary computer science and encryption. In addition to this theoretical emphasis, the Numerical Methods course gives students useful computational tools to help them approximate solutions to challenging mathematical problems that are impossible to solve analytically. Students are prepared for a variety of jobs in mathematics, engineering, technology, and other fields by this program, which blends strong theoretical knowledge with algorithmic problem-solving abilities.

Trusted teacher

Peace be upon you, I am pleased to offer you support and reinforcement lessons in mathematics for the benefit of pupils and students, according to the level and need, in a simple, gradual and clear way. My goal is not just to help the student complete the exercises or get a good grade, but to help him understand mathematics, gain confidence in himself, and learn how to think and search for the solution on his own. During the lessons, I focus on: • Review and explanation of lessons — Révision et explication des cours • Addressing weaknesses — Remédiation des difficultés • Simplification of mathematical concepts • Solving exercises and problems — Résolution d'exercices et de problèmes Preparing for assignments and exams — Préparation aux contrôles et aux examens • Learn solution methods and ideas — Méthodes et astuces de résolution • Error analysis and correction — Analyse et correction des erreurs • Developing independence of thought — Développement de l'autonomie et du raisonnement I don't prefer to give the solution directly. I first give the student a chance to try, think, and research, then I guide them step by step through appropriate hints and questions until they arrive at the solution themselves and understand the method. Depending on the level, one can work on various mathematics lessons, including: Number sets — Les ensembles de nombres Fractions — Les fractions Powers — Les puissances Square roots — Les racines carrées Literal arithmetic — Calcul littéral Development and Factorisation Notable identities Equations Inequalities Systems of equations — Systèmes d'équations Functions Study of functions — Étude des fonctions Limits Continuity Derivation Primitives Integral calculus Differential equations — Équations différentielles Numerical sequences — Suites numériques Exponential function — Fonction exponentielle logarithmic function Trigonometry Complex numbers Plane geometry Space engineering — Géométrie dans l'espace Straight lines and planes in space — Droites et plans dans l'espace Vectors — Vecteurs Scalar product Vector product Analytical Geometry Probabilities Statistics Counting — Dénombrement Reasoning by regression And other lessons according to the program and the student's level. I also make sure to teach the student how to read the question, how to discover the important information, how to choose the appropriate method, and how to verify the correctness of his answer. My goal is for mathematics to become an understandable, organized, and less difficult subject for the student, and for them to gradually move from waiting for the solution to being able to search for it themselves. The number of students I follow up with is limited according to my available time, because I prefer the quality of follow-up and communication with each student over the large number. Welcome to every student who wants to understand, progress and improve their level in mathematics.