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This teacher has a fast response time and rate, demonstrating a high quality of service to their students.
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Since June 2021
Instructor since June 2021
Data Analytics and Machine Learning online class (english and/or french)
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From 25 € /h
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Studying data analytics can develop your skills in many different areas. Whether you’re a total newcomer to the field or already have experience, you can advance your knowledge.
As well as teaching you how to handle and analyse large sets of data, this subject focuses on problem-solving and storytelling.

This online data analytics course can teach you different ways to approach a problem and how to break down your available information to find a workable solution. Whether it’s for improving your professional skills or those you use day-to-day, you’ll soon see results.

In the Data Analytics & Machine Learning program, you will learn how to apply methods of data analytics to predict buying trends for an online retailer, learn about data mining using R and Python, and develop advanced visualization techniques to make your data sets both intuitive and beautiful.
Extra information
Bring your own laptop
Location
location type icon
Online from Tunisia
Age
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
45 minutes
60 minutes
The class is taught in
English
French
Availability of a typical week
(GMT -04:00)
New York
at teacher icon
Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
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Are you preparing for your Maths Baccalaureate and aiming for excellence?

As a high school teacher, I put my expertise at your service to help you take your results to the next level.

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Are you preparing for your Maths Baccalaureate and aiming for excellence?

As a high school teacher, I put my expertise at your service to help you take your results to the next level.

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★A perfect mastery of the basic concepts. 💯

★Allow students to overcome obstacles in order to obtain better grades in the final exam.💪🏼

★Allow parents a comprehensive report on their child’s situation.❤️
verified badge
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To prepare for an exam, accomplish a coursework, a bachelor's, master's or doctoral thesis?

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I make the lecture material more understandable using concrete examples. I correct papers, explain the best methods to solve tasks or put up my own exercices to achieve the necessary level.

I help in interpreting the output of common statistical programs (R/RStudio, Jamovi, Jasp) or in carrying out entire analyses.

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Practical Experience: Learn by doing with real-world projects that build your understanding and skills.

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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.

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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.

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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.

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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.

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► 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.

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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.
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I offer online lessons tailored to your level, pace, and learning goals.
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Depending on your starting level, we can work on:
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• Input and output
• If/else structures
• For and while loops
• Working with 1D and 2D lists
• Writing and using functions
• Working with files
• Basic error handling
• Programmatic thinking and problem solving
The content of the lessons is tailored to your goals, for example, for school, self-study, or exam preparation.
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Each lesson consists of a combination of:
• Code analysis of sample programs
• Theory with concrete code examples
• Explanation of the underlying logic
• Exercises for independent practice
The goal is not just to learn what to type, but to understand why the code works and how to arrive at a solution yourself.
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With a doctorate in mathematics and experience as a university lecturer, I have dedicated several years to teaching students in France and internationally. I support students of varying levels, emphasizing a clear, progressive, and comprehension-focused approach.
verified badge
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Linear algebra: Vector spaces, reduction of endomorphisms (diagonalization, triangularization), duality and quadratic forms.
2. Topology and Functional Analysis
Metric spaces and topology: open and closed sets, compactness, convexity.
Normed vector spaces: convergence of sequences, continuity and equivalence of norms.
Banach & Hilbert spaces: study of completeness, orthogonal projections, Riesz theorems and Fourier series.
3. Numerical Analysis: The art of solving mathematical problems using algorithms and high-performance computing.
Solving nonlinear equations: bisection, Newton-Raphson and fixed-point methods.
Numerical integration: rectangle rule, trapezoidal rule and Simpson's rule.
Numerical matrix analysis: solving systems of equations (Gauss, LU, Cholesky), eigenvalue calculations and conditioning.
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