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Since September 2023
Instructor since September 2023
Translated by GoogleSee original
Mathematics and computer science student in 3rd year of Bachelor at École Polytechnique
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From 16.19 £ /h
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As for the lessons, I start by quickly reviewing the lesson with the student before giving him and solving increasingly difficult exercises with him until he is able to solve exercises that are out of the ordinary and really master the course. It would therefore be better to warn me in advance of what the student would prefer to see (maybe very vague), so that I can prepare exercises; and even better if I could see examples of tests to be able to see what the teacher prefers to evaluate, and what is difficult for the student.
Extra information
It would be better to let me know in advance what the student would prefer to see (maybe very vague), so that I can prepare exercises; and even better if I could see examples of tests to be able to see what the teacher prefers to evaluate, and what is difficult for the student.
Location
location type icon
Online from France
Age
Children (7-12 years old)
Teenagers (13-17 years old)
Adults (18-64 years old)
Seniors (65+ years old)
Student level
Beginner
Intermediate
Advanced
Duration
60 minutes
The class is taught in
French
English
Skills
Reviews
Availability of a typical week
(GMT -04:00)
New York
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Online via webcam
Mon
Tue
Wed
Thu
Fri
Sat
Sun
00-04
04-08
08-12
12-16
16-20
20-24
In order for the lessons to go well, I plan to first give a relatively substantial questionnaire on one or more chapters, in order to directly know what needs to be worked on and improved.

I think that exercises are the best way to learn and master the course when it comes to science, so I usually start with a bit of theory to make sure that the student has all the keys in hand to solve the exercises that I will then give them.
Once the exercises are finished, if he has made mistakes, I explain to the student his mistakes on the exercises, before giving him new similar and sometimes easier exercises in order to ensure that he has mastered the basics of the course.
When comfortable, you can either change chapters or go further than just the course to ensure excellent mastery of the course.
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• Time-series analysis and forecasting
• Mediation and moderation analysis
• Statistical modelling and predictive analysis

DATA ANALYSIS & VISUALIZATION
• Data organization and quality assessment
• Data cleaning and preparation
• Missing values, duplicates, inconsistencies, and outliers
• Exploratory data analysis
• Summary tables and analytical reporting
• PivotTables and aggregation
• Data visualization and appropriate chart selection
• Trend and pattern analysis
• KPI development and performance analysis
• Dashboard concepts and decision-support reporting
• Research and survey data preparation
• Interpretation and communication of analytical findings

Depending on your needs, practical work may involve Excel, SPSS, Stata, R, SAS, Power BI, SQL, Python, or other relevant analytical tools. Software is never treated as a substitute for understanding: I explain the reasoning behind the method, the assumptions involved, the meaning of the output, and how to verify whether the conclusion is sound.

My teaching approach follows a clear progression:
understand the problem → identify the appropriate concept or method → develop the reasoning → calculate or analyze → verify the result → interpret it → communicate the conclusion

We can work with your course syllabus, textbook, representative exercises, exam topics, dataset, statistical output, research question, spreadsheet, dashboard, engineering application, or professional analytical problem.

Whether you are rebuilding mathematical foundations, preparing for an examination, studying advanced calculus, learning statistics, conducting econometric analysis, interpreting research data, or developing practical analytical skills, I will adapt the sessions to your level, objectives, and pace.

My goal is not merely to help you obtain an answer, but to help you understand the reasoning, choose appropriate methods, verify results, interpret findings correctly, and solve new problems independently.
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